From b582da502d151e11f813321e21c8fa63e76cb253 Mon Sep 17 00:00:00 2001
From: Stefan Machmeier <stefan-machmeier@outlook.com>
Date: Tue, 2 Apr 2024 12:44:26 +0200
Subject: [PATCH] Add dataset

---
 README.md                      |   5 +-
 example/DGA_dgta_EDA.ipynb     | 214 +++++++++++++++------------------
 heidgaf/cli.py                 |   5 +-
 heidgaf/dataset/__init__.py    | 108 ++++++++++++++---
 heidgaf/dataset/cic.py         |  10 --
 heidgaf/dataset/dgta.py        |  13 --
 heidgaf/dataset/heicloud.py    |  14 ---
 heidgaf/dataset/majestic.py    |  11 +-
 heidgaf/models/__init__.py     |   8 +-
 heidgaf/post/feature.py        |   2 +-
 heidgaf/pre/__init__.py        |   9 +-
 heidgaf/pre/domain_analyzer.py |   2 +-
 heidgaf/pre/ip_analyzer.py     |   4 +
 heidgaf/train.py               |  32 ++---
 pyproject.toml                 |  21 ++--
 15 files changed, 241 insertions(+), 217 deletions(-)
 delete mode 100644 heidgaf/dataset/cic.py
 delete mode 100644 heidgaf/dataset/dgta.py
 delete mode 100644 heidgaf/dataset/heicloud.py

diff --git a/README.md b/README.md
index ea83407..2511648 100644
--- a/README.md
+++ b/README.md
@@ -76,12 +76,15 @@ Currently, we support the data format scheme provided by the [DNS-Collector](htt
 
 For training our models, we rely on the following data sets:
 
-- [CICBellDNS2021]()
+- [CICBellDNS2021](https://www.unb.ca/cic/datasets/dns-2021.html)
 - [DGTA Benchmark](https://data.mendeley.com/datasets/2wzf9bz7xr/1)
 - [DNS Tunneling Queries for Binary Classification](https://data.mendeley.com/datasets/mzn9hvdcxg/1)
 - [UMUDGA - University of Murcia Domain Generation Algorithm Dataset](https://data.mendeley.com/datasets/y8ph45msv8/1)
 - [Majestic Million](https://de.majestic.com/reports/majestic-million)
 
+However, we compute all feature separately and only rely on the `domain` and `class`.
+Currently, we are only interested in binary classification, thus, the `class` is either `benign` or `malicious`.
+
 ### Exploratory Data Analysis (EDA)
 
 In the folder `./example` we conducted a Exploratory Data Analysis (EDA) to verify the features of interest for our application.
diff --git a/example/DGA_dgta_EDA.ipynb b/example/DGA_dgta_EDA.ipynb
index 1224e67..9dc7e72 100644
--- a/example/DGA_dgta_EDA.ipynb
+++ b/example/DGA_dgta_EDA.ipynb
@@ -11,18 +11,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
     "%%capture\n",
     "%pip install --upgrade pip\n",
-    "%pip install scikit-learn scipy numpy alibi tldextract pyarrow polaris"
+    "%pip install scikit-learn scipy numpy alibi tldextract pyarrow polaris joblib"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -30,8 +30,6 @@
     "import pandas as pd\n",
     "import numpy as np\n",
     "\n",
-    "from scipy.stats import entropy\n",
-    "from fe_polars.encoding.target_encoding import TargetEncoder\n",
     "from sklearn.model_selection import train_test_split \n",
     "from sklearn.cluster import KMeans\n",
     "from sklearn.metrics import classification_report\n",
@@ -50,7 +48,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -156,7 +154,7 @@
        "[1657234 rows x 2 columns]"
       ]
      },
-     "execution_count": 67,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -168,7 +166,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -202,7 +200,7 @@
        "└───────────────┴───────┘"
       ]
      },
-     "execution_count": 68,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -216,14 +214,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_165223/1026783953.py:10: DeprecationWarning: `map` is deprecated. It has been renamed to `map_batches`.\n",
+      "/tmp/ipykernel_4764/1026783953.py:10: DeprecationWarning: `map` is deprecated. It has been renamed to `map_batches`.\n",
       "  pl.col('query').map(custom_decode)\n"
      ]
     },
@@ -258,7 +256,7 @@
        "└─────────────────────────────┴───────┘"
       ]
      },
-     "execution_count": 69,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -281,7 +279,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -311,7 +309,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -324,47 +322,47 @@
        "  white-space: pre-wrap;\n",
        "}\n",
        "</style>\n",
-       "<small>shape: (1_657_234, 45)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>query</th><th>class</th><th>labels</th><th>label_length</th><th>label_max</th><th>label_average</th><th>freq_a</th><th>freq_b</th><th>freq_c</th><th>freq_d</th><th>freq_e</th><th>freq_f</th><th>freq_g</th><th>freq_h</th><th>freq_i</th><th>freq_j</th><th>freq_k</th><th>freq_l</th><th>freq_m</th><th>freq_n</th><th>freq_o</th><th>freq_p</th><th>freq_q</th><th>freq_r</th><th>freq_s</th><th>freq_t</th><th>freq_u</th><th>freq_v</th><th>freq_w</th><th>freq_x</th><th>freq_y</th><th>freq_z</th><th>fqdn</th><th>fqdn_full_count</th><th>fqdn_alpha_count</th><th>fqdn_numeric_count</th><th>fqdn_special_count</th><th>secondleveldomain</th><th>secondleveldomain_full_count</th><th>secondleveldomainn_numeric_count</th><th>secondleveldomain_special_count</th><th>thirdleveldomain</th><th>thirdleveldomain_full_count</th><th>thirdleveldomain_numeric_count</th><th>thirdleveldomain_special_count</th></tr><tr><td>str</td><td>str</td><td>list[str]</td><td>u32</td><td>u32</td><td>u32</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>str</td><td>u32</td><td>f64</td><td>f64</td><td>f64</td><td>str</td><td>u32</td><td>u32</td><td>u32</td><td>str</td><td>u32</td><td>u32</td><td>u32</td></tr></thead><tbody><tr><td>&quot;0dev.null.goog…</td><td>&quot;legit&quot;</td><td>[&quot;0dev&quot;, &quot;null&quot;, … &quot;com&quot;]</td><td>4</td><td>4</td><td>25</td><td>0.04</td><td>0.0</td><td>0.04</td><td>0.04</td><td>0.12</td><td>0.0</td><td>0.12</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.12</td><td>0.04</td><td>0.04</td><td>0.12</td><td>0.04</td><td>0.0</td><td>0.0</td><td>0.04</td><td>0.0</td><td>0.04</td><td>0.04</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;0dev.null.goog…</td><td>25</td><td>0.84</td><td>0.04</td><td>0.12</td><td>&quot;googlepages&quot;</td><td>4</td><td>0</td><td>0</td><td>&quot;0dev.null&quot;</td><td>4</td><td>1</td><td>0</td></tr><tr><td>&quot;0.static.wix.c…</td><td>&quot;legit&quot;</td><td>[&quot;0&quot;, &quot;static&quot;, … 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&quot;com&quot;]</td><td>3</td><td>11</td><td>27</td><td>0.074074</td><td>0.0</td><td>0.037037</td><td>0.0</td><td>0.074074</td><td>0.0</td><td>0.148148</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.037037</td><td>0.037037</td><td>0.0</td><td>0.148148</td><td>0.074074</td><td>0.0</td><td>0.037037</td><td>0.111111</td><td>0.037037</td><td>0.037037</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.037037</td><td>0.0</td><td>&quot;a2sportsguy.go…</td><td>27</td><td>0.888889</td><td>0.037037</td><td>0.074074</td><td>&quot;googlepages&quot;</td><td>11</td><td>0</td><td>0</td><td>&quot;a2sportsguy&quot;</td><td>11</td><td>1</td><td>0</td></tr><tr><td>&quot;a2zexperts.goo…</td><td>&quot;legit&quot;</td><td>[&quot;a2zexperts&quot;, &quot;googlepages&quot;, &quot;com&quot;]</td><td>3</td><td>11</td><td>26</td><td>0.076923</td><td>0.0</td><td>0.038462</td><td>0.0</td><td>0.153846</td><td>0.0</td><td>0.115385</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.038462</td><td>0.038462</td><td>0.0</td><td>0.115385</td><td>0.076923</td><td>0.0</td><td>0.038462</td><td>0.076923</td><td>0.038462</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.038462</td><td>0.0</td><td>0.038462</td><td>&quot;a2zexperts.goo…</td><td>26</td><td>0.884615</td><td>0.038462</td><td>0.076923</td><td>&quot;googlepages&quot;</td><td>11</td><td>0</td><td>0</td><td>&quot;a2zexperts&quot;</td><td>10</td><td>1</td><td>0</td></tr><tr><td>&quot;a2zvs.setmore.…</td><td>&quot;legit&quot;</td><td>[&quot;a2zvs&quot;, &quot;setmore&quot;, &quot;com&quot;]</td><td>3</td><td>7</td><td>17</td><td>0.058824</td><td>0.0</td><td>0.058824</td><td>0.0</td><td>0.117647</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.117647</td><td>0.0</td><td>0.117647</td><td>0.0</td><td>0.0</td><td>0.058824</td><td>0.117647</td><td>0.058824</td><td>0.0</td><td>0.058824</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.058824</td><td>&quot;a2zvs.setmore.…</td><td>17</td><td>0.823529</td><td>0.058824</td><td>0.117647</td><td>&quot;setmore&quot;</td><td>7</td><td>0</td><td>0</td><td>&quot;a2zvs&quot;</td><td>5</td><td>1</td><td>0</td></tr><tr><td>&quot;aaa.bbb.ccc.co…</td><td>&quot;legit&quot;</td><td>[&quot;aaa&quot;, &quot;bbb&quot;, … &quot;com&quot;]</td><td>4</td><td>3</td><td>15</td><td>0.2</td><td>0.2</td><td>0.266667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.066667</td><td>0.0</td><td>0.066667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;aaa.bbb.ccc.co…</td><td>15</td><td>0.8</td><td>0.0</td><td>0.2</td><td>&quot;ccc&quot;</td><td>3</td><td>0</td><td>0</td><td>&quot;aaa.bbb&quot;</td><td>3</td><td>0</td><td>0</td></tr><tr><td>&quot;aaainfotech.go…</td><td>&quot;legit&quot;</td><td>[&quot;aaainfotech&quot;, &quot;googlepages&quot;, &quot;com&quot;]</td><td>3</td><td>11</td><td>27</td><td>0.148148</td><td>0.0</td><td>0.074074</td><td>0.0</td><td>0.111111</td><td>0.037037</td><td>0.111111</td><td>0.037037</td><td>0.037037</td><td>0.0</td><td>0.0</td><td>0.037037</td><td>0.037037</td><td>0.037037</td><td>0.148148</td><td>0.037037</td><td>0.0</td><td>0.0</td><td>0.037037</td><td>0.037037</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;aaainfotech.go…</td><td>27</td><td>0.925926</td><td>0.0</td><td>0.074074</td><td>&quot;googlepages&quot;</td><td>11</td><td>0</td><td>0</td><td>&quot;aaainfotech&quot;</td><td>11</td><td>0</td><td>0</td></tr><tr><td>&quot;aaa.princeton.…</td><td>&quot;legit&quot;</td><td>[&quot;aaa&quot;, &quot;princeton&quot;, &quot;edu&quot;]</td><td>3</td><td>9</td><td>17</td><td>0.176471</td><td>0.0</td><td>0.058824</td><td>0.058824</td><td>0.117647</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.058824</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.117647</td><td>0.058824</td><td>0.058824</td><td>0.0</td><td>0.058824</td><td>0.0</td><td>0.058824</td><td>0.058824</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;aaa.princeton.…</td><td>17</td><td>0.882353</td><td>0.0</td><td>0.117647</td><td>&quot;princeton&quot;</td><td>9</td><td>0</td><td>0</td><td>&quot;aaa&quot;</td><td>3</td><td>0</td><td>0</td></tr><tr><td>&quot;aaa.ssis.edu.v…</td><td>&quot;legit&quot;</td><td>[&quot;aaa&quot;, &quot;ssis&quot;, … 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&quot;com&quot;]</td><td>3</td><td>3</td><td>18</td><td>0.166667</td><td>0.0</td><td>0.166667</td><td>0.0</td><td>0.055556</td><td>0.0</td><td>0.055556</td><td>0.0</td><td>0.055556</td><td>0.0</td><td>0.0</td><td>0.055556</td><td>0.111111</td><td>0.055556</td><td>0.111111</td><td>0.0</td><td>0.0</td><td>0.055556</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;aacon.agilecrm…</td><td>18</td><td>0.888889</td><td>0.0</td><td>0.111111</td><td>&quot;agilecrm&quot;</td><td>8</td><td>0</td><td>0</td><td>&quot;aacon&quot;</td><td>5</td><td>0</td><td>0</td></tr><tr><td>&quot;aa.datta.net&quot;</td><td>&quot;legit&quot;</td><td>[&quot;aa&quot;, &quot;datta&quot;, &quot;net&quot;]</td><td>3</td><td>3</td><td>12</td><td>0.333333</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.25</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;aa.datta.net&quot;</td><td>12</td><td>0.833333</td><td>0.0</td><td>0.166667</td><td>&quot;datta&quot;</td><td>5</td><td>0</td><td>0</td><td>&quot;aa&quot;</td><td>2</td><td>0</td><td>0</td></tr><tr><td>&quot;aaditchetan.go…</td><td>&quot;legit&quot;</td><td>[&quot;aaditchetan&quot;, &quot;googlepages&quot;, &quot;com&quot;]</td><td>3</td><td>11</td><td>27</td><td>0.148148</td><td>0.0</td><td>0.074074</td><td>0.037037</td><td>0.111111</td><td>0.0</td><td>0.111111</td><td>0.037037</td><td>0.037037</td><td>0.0</td><td>0.0</td><td>0.037037</td><td>0.037037</td><td>0.037037</td><td>0.111111</td><td>0.037037</td><td>0.0</td><td>0.0</td><td>0.037037</td><td>0.074074</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;aaditchetan.go…</td><td>27</td><td>0.925926</td><td>0.0</td><td>0.074074</td><td>&quot;googlepages&quot;</td><td>11</td><td>0</td><td>0</td><td>&quot;aaditchetan&quot;</td><td>11</td><td>0</td><td>0</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>&quot;southwestvacat…</td><td>&quot;legit&quot;</td><td>[&quot;southwestvacations&quot;, &quot;com&quot;]</td><td>2</td><td>18</td><td>22</td><td>0.090909</td><td>0.0</td><td>0.090909</td><td>0.0</td><td>0.045455</td><td>0.0</td><td>0.0</td><td>0.045455</td><td>0.045455</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.045455</td><td>0.045455</td><td>0.136364</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.136364</td><td>0.136364</td><td>0.045455</td><td>0.045455</td><td>0.045455</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;southwestvacat…</td><td>22</td><td>0.954545</td><td>0.0</td><td>0.045455</td><td>&quot;southwestvacat…</td><td>18</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td></tr><tr><td>&quot;unbxdapi.com&quot;</td><td>&quot;legit&quot;</td><td>[&quot;unbxdapi&quot;, &quot;com&quot;]</td><td>2</td><td>8</td><td>12</td><td>0.083333</td><td>0.083333</td><td>0.083333</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.083333</td><td>0.083333</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>&quot;unbxdapi.com&quot;</td><td>12</td><td>0.916667</td><td>0.0</td><td>0.083333</td><td>&quot;unbxdapi&quot;</td><td>8</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td></tr><tr><td>&quot;celljournalist…</td><td>&quot;legit&quot;</td><td>[&quot;celljournalist&quot;, &quot;com&quot;]</td><td>2</td><td>3</td><td>18</td><td>0.055556</td><td>0.0</td><td>0.111111</td><td>0.0</td><td>0.055556</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.055556</td><td>0.055556</td><td>0.0</td><td>0.166667</td><td>0.055556</td><td>0.055556</td><td>0.111111</td><td>0.0</td><td>0.0</td><td>0.055556</td><td>0.055556</td><td>0.055556</td><td>0.055556</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;celljournalist…</td><td>18</td><td>0.944444</td><td>0.0</td><td>0.055556</td><td>&quot;celljournalist…</td><td>14</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td></tr><tr><td>&quot;sciencefriday.…</td><td>&quot;legit&quot;</td><td>[&quot;sciencefriday&quot;, &quot;com&quot;]</td><td>2</td><td>13</td><td>17</td><td>0.058824</td><td>0.0</td><td>0.176471</td><td>0.058824</td><td>0.117647</td><td>0.058824</td><td>0.0</td><td>0.0</td><td>0.117647</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.058824</td><td>0.058824</td><td>0.058824</td><td>0.0</td><td>0.0</td><td>0.058824</td><td>0.058824</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.058824</td><td>0.0</td><td>&quot;sciencefriday.…</td><td>17</td><td>0.941176</td><td>0.0</td><td>0.058824</td><td>&quot;sciencefriday&quot;</td><td>13</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td></tr><tr><td>&quot;alloyentertain…</td><td>&quot;legit&quot;</td><td>[&quot;alloyentertainment&quot;, &quot;com&quot;]</td><td>2</td><td>3</td><td>22</td><td>0.090909</td><td>0.0</td><td>0.045455</td><td>0.0</td><td>0.136364</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.045455</td><td>0.0</td><td>0.0</td><td>0.090909</td><td>0.090909</td><td>0.136364</td><td>0.090909</td><td>0.0</td><td>0.0</td><td>0.045455</td><td>0.0</td><td>0.136364</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.045455</td><td>0.0</td><td>&quot;alloyentertain…</td><td>22</td><td>0.954545</td><td>0.0</td><td>0.045455</td><td>&quot;alloyentertain…</td><td>18</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td></tr><tr><td>&quot;itaringa.net&quot;</td><td>&quot;legit&quot;</td><td>[&quot;itaringa&quot;, &quot;net&quot;]</td><td>2</td><td>3</td><td>12</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;itaringa.net&quot;</td><td>12</td><td>0.916667</td><td>0.0</td><td>0.083333</td><td>&quot;itaringa&quot;</td><td>8</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td></tr><tr><td>&quot;drivershq.com&quot;</td><td>&quot;legit&quot;</td><td>[&quot;drivershq&quot;, &quot;com&quot;]</td><td>2</td><td>9</td><td>13</td><td>0.0</td><td>0.0</td><td>0.076923</td><td>0.076923</td><td>0.076923</td><td>0.0</td><td>0.0</td><td>0.076923</td><td>0.076923</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.076923</td><td>0.0</td><td>0.076923</td><td>0.0</td><td>0.076923</td><td>0.153846</td><td>0.076923</td><td>0.0</td><td>0.0</td><td>0.076923</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;drivershq.com&quot;</td><td>13</td><td>0.923077</td><td>0.0</td><td>0.076923</td><td>&quot;drivershq&quot;</td><td>9</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td></tr><tr><td>&quot;adsunflower.co…</td><td>&quot;legit&quot;</td><td>[&quot;adsunflower&quot;, &quot;com&quot;]</td><td>2</td><td>3</td><td>15</td><td>0.066667</td><td>0.0</td><td>0.066667</td><td>0.066667</td><td>0.066667</td><td>0.066667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.066667</td><td>0.066667</td><td>0.066667</td><td>0.133333</td><td>0.0</td><td>0.0</td><td>0.066667</td><td>0.066667</td><td>0.0</td><td>0.066667</td><td>0.0</td><td>0.066667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;adsunflower.co…</td><td>15</td><td>0.933333</td><td>0.0</td><td>0.066667</td><td>&quot;adsunflower&quot;</td><td>11</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td></tr><tr><td>&quot;meride.tv&quot;</td><td>&quot;legit&quot;</td><td>[&quot;meride&quot;, &quot;tv&quot;]</td><td>2</td><td>2</td><td>9</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.111111</td><td>0.222222</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.111111</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.111111</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.111111</td><td>0.0</td><td>0.111111</td><td>0.0</td><td>0.111111</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;meride.tv&quot;</td><td>9</td><td>0.888889</td><td>0.0</td><td>0.111111</td><td>&quot;meride&quot;</td><td>6</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td></tr><tr><td>&quot;sanalpazar.com…</td><td>&quot;legit&quot;</td><td>[&quot;sanalpazar&quot;, &quot;com&quot;]</td><td>2</td><td>10</td><td>14</td><td>0.285714</td><td>0.0</td><td>0.071429</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.071429</td><td>0.071429</td><td>0.071429</td><td>0.071429</td><td>0.071429</td><td>0.0</td><td>0.071429</td><td>0.071429</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.071429</td><td>&quot;sanalpazar.com…</td><td>14</td><td>0.928571</td><td>0.0</td><td>0.071429</td><td>&quot;sanalpazar&quot;</td><td>10</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td></tr><tr><td>&quot;continular.com…</td><td>&quot;legit&quot;</td><td>[&quot;continular&quot;, &quot;com&quot;]</td><td>2</td><td>10</td><td>14</td><td>0.071429</td><td>0.0</td><td>0.142857</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.071429</td><td>0.0</td><td>0.0</td><td>0.071429</td><td>0.071429</td><td>0.142857</td><td>0.142857</td><td>0.0</td><td>0.0</td><td>0.071429</td><td>0.0</td><td>0.071429</td><td>0.071429</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;continular.com…</td><td>14</td><td>0.928571</td><td>0.0</td><td>0.071429</td><td>&quot;continular&quot;</td><td>10</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td></tr><tr><td>&quot;ilsemedia.nl&quot;</td><td>&quot;legit&quot;</td><td>[&quot;ilsemedia&quot;, &quot;nl&quot;]</td><td>2</td><td>2</td><td>12</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.166667</td><td>0.083333</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;ilsemedia.nl&quot;</td><td>12</td><td>0.916667</td><td>0.0</td><td>0.083333</td><td>&quot;ilsemedia&quot;</td><td>9</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td></tr></tbody></table></div>"
+       "<small>shape: (1_657_234, 47)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>query</th><th>class</th><th>labels</th><th>label_length</th><th>label_max</th><th>label_average</th><th>freq_a</th><th>freq_b</th><th>freq_c</th><th>freq_d</th><th>freq_e</th><th>freq_f</th><th>freq_g</th><th>freq_h</th><th>freq_i</th><th>freq_j</th><th>freq_k</th><th>freq_l</th><th>freq_m</th><th>freq_n</th><th>freq_o</th><th>freq_p</th><th>freq_q</th><th>freq_r</th><th>freq_s</th><th>freq_t</th><th>freq_u</th><th>freq_v</th><th>freq_w</th><th>freq_x</th><th>freq_y</th><th>freq_z</th><th>fqdn</th><th>fqdn_full_count</th><th>fqdn_alpha_count</th><th>fqdn_numeric_count</th><th>fqdn_special_count</th><th>secondleveldomain</th><th>secondleveldomain_full_count</th><th>secondleveldomainn_alpha_count</th><th>secondleveldomainn_numeric_count</th><th>secondleveldomain_special_count</th><th>thirdleveldomain</th><th>thirdleveldomain_full_count</th><th>thirdleveldomain_alpha_count</th><th>thirdleveldomain_numeric_count</th><th>thirdleveldomain_special_count</th></tr><tr><td>str</td><td>str</td><td>list[str]</td><td>u32</td><td>u32</td><td>u32</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>str</td><td>u32</td><td>f64</td><td>f64</td><td>f64</td><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;0dev.null.goog…</td><td>&quot;legit&quot;</td><td>[&quot;0dev&quot;, &quot;null&quot;, … &quot;com&quot;]</td><td>4</td><td>4</td><td>25</td><td>0.04</td><td>0.0</td><td>0.04</td><td>0.04</td><td>0.12</td><td>0.0</td><td>0.12</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.12</td><td>0.04</td><td>0.04</td><td>0.12</td><td>0.04</td><td>0.0</td><td>0.0</td><td>0.04</td><td>0.0</td><td>0.04</td><td>0.04</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;0dev.null.goog…</td><td>25</td><td>0.84</td><td>0.04</td><td>0.12</td><td>&quot;googlepages&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;0dev.null&quot;</td><td>1.0</td><td>0.777778</td><td>0.111111</td><td>0.111111</td></tr><tr><td>&quot;0.static.wix.c…</td><td>&quot;legit&quot;</td><td>[&quot;0&quot;, &quot;static&quot;, … &quot;com&quot;]</td><td>4</td><td>3</td><td>16</td><td>0.0625</td><td>0.0</td><td>0.125</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.125</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0625</td><td>0.0</td><td>0.0625</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0625</td><td>0.125</td><td>0.0</td><td>0.0</td><td>0.0625</td><td>0.0625</td><td>0.0</td><td>0.0</td><td>&quot;0.static.wix.c…</td><td>16</td><td>0.75</td><td>0.0625</td><td>0.1875</td><td>&quot;wix&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;0.static&quot;</td><td>1.0</td><td>0.75</td><td>0.125</td><td>0.125</td></tr><tr><td>&quot;a2sportsguy.go…</td><td>&quot;legit&quot;</td><td>[&quot;a2sportsguy&quot;, &quot;googlepages&quot;, &quot;com&quot;]</td><td>3</td><td>11</td><td>27</td><td>0.074074</td><td>0.0</td><td>0.037037</td><td>0.0</td><td>0.074074</td><td>0.0</td><td>0.148148</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.037037</td><td>0.037037</td><td>0.0</td><td>0.148148</td><td>0.074074</td><td>0.0</td><td>0.037037</td><td>0.111111</td><td>0.037037</td><td>0.037037</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.037037</td><td>0.0</td><td>&quot;a2sportsguy.go…</td><td>27</td><td>0.888889</td><td>0.037037</td><td>0.074074</td><td>&quot;googlepages&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;a2sportsguy&quot;</td><td>1.0</td><td>0.909091</td><td>0.090909</td><td>0.0</td></tr><tr><td>&quot;a2zexperts.goo…</td><td>&quot;legit&quot;</td><td>[&quot;a2zexperts&quot;, &quot;googlepages&quot;, 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&quot;com&quot;]</td><td>4</td><td>3</td><td>15</td><td>0.2</td><td>0.2</td><td>0.266667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.066667</td><td>0.0</td><td>0.066667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;aaa.bbb.ccc.co…</td><td>15</td><td>0.8</td><td>0.0</td><td>0.2</td><td>&quot;ccc&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;aaa.bbb&quot;</td><td>1.0</td><td>0.857143</td><td>0.0</td><td>0.142857</td></tr><tr><td>&quot;aaainfotech.go…</td><td>&quot;legit&quot;</td><td>[&quot;aaainfotech&quot;, &quot;googlepages&quot;, &quot;com&quot;]</td><td>3</td><td>11</td><td>27</td><td>0.148148</td><td>0.0</td><td>0.074074</td><td>0.0</td><td>0.111111</td><td>0.037037</td><td>0.111111</td><td>0.037037</td><td>0.037037</td><td>0.0</td><td>0.0</td><td>0.037037</td><td>0.037037</td><td>0.037037</td><td>0.148148</td><td>0.037037</td><td>0.0</td><td>0.0</td><td>0.037037</td><td>0.037037</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;aaainfotech.go…</td><td>27</td><td>0.925926</td><td>0.0</td><td>0.074074</td><td>&quot;googlepages&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;aaainfotech&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td></tr><tr><td>&quot;aaa.princeton.…</td><td>&quot;legit&quot;</td><td>[&quot;aaa&quot;, &quot;princeton&quot;, 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&quot;net&quot;]</td><td>3</td><td>3</td><td>12</td><td>0.333333</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.25</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;aa.datta.net&quot;</td><td>12</td><td>0.833333</td><td>0.0</td><td>0.166667</td><td>&quot;datta&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;aa&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td></tr><tr><td>&quot;aaditchetan.go…</td><td>&quot;legit&quot;</td><td>[&quot;aaditchetan&quot;, &quot;googlepages&quot;, &quot;com&quot;]</td><td>3</td><td>11</td><td>27</td><td>0.148148</td><td>0.0</td><td>0.074074</td><td>0.037037</td><td>0.111111</td><td>0.0</td><td>0.111111</td><td>0.037037</td><td>0.037037</td><td>0.0</td><td>0.0</td><td>0.037037</td><td>0.037037</td><td>0.037037</td><td>0.111111</td><td>0.037037</td><td>0.0</td><td>0.0</td><td>0.037037</td><td>0.074074</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;aaditchetan.go…</td><td>27</td><td>0.925926</td><td>0.0</td><td>0.074074</td><td>&quot;googlepages&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;aaditchetan&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>&quot;southwestvacat…</td><td>&quot;legit&quot;</td><td>[&quot;southwestvacations&quot;, &quot;com&quot;]</td><td>2</td><td>18</td><td>22</td><td>0.090909</td><td>0.0</td><td>0.090909</td><td>0.0</td><td>0.045455</td><td>0.0</td><td>0.0</td><td>0.045455</td><td>0.045455</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.045455</td><td>0.045455</td><td>0.136364</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.136364</td><td>0.136364</td><td>0.045455</td><td>0.045455</td><td>0.045455</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;southwestvacat…</td><td>22</td><td>0.954545</td><td>0.0</td><td>0.045455</td><td>&quot;southwestvacat…</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;&quot;</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>&quot;unbxdapi.com&quot;</td><td>&quot;legit&quot;</td><td>[&quot;unbxdapi&quot;, &quot;com&quot;]</td><td>2</td><td>8</td><td>12</td><td>0.083333</td><td>0.083333</td><td>0.083333</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.083333</td><td>0.083333</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>&quot;unbxdapi.com&quot;</td><td>12</td><td>0.916667</td><td>0.0</td><td>0.083333</td><td>&quot;unbxdapi&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;&quot;</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>&quot;celljournalist…</td><td>&quot;legit&quot;</td><td>[&quot;celljournalist&quot;, &quot;com&quot;]</td><td>2</td><td>3</td><td>18</td><td>0.055556</td><td>0.0</td><td>0.111111</td><td>0.0</td><td>0.055556</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.055556</td><td>0.055556</td><td>0.0</td><td>0.166667</td><td>0.055556</td><td>0.055556</td><td>0.111111</td><td>0.0</td><td>0.0</td><td>0.055556</td><td>0.055556</td><td>0.055556</td><td>0.055556</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;celljournalist…</td><td>18</td><td>0.944444</td><td>0.0</td><td>0.055556</td><td>&quot;celljournalist…</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;&quot;</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>&quot;sciencefriday.…</td><td>&quot;legit&quot;</td><td>[&quot;sciencefriday&quot;, &quot;com&quot;]</td><td>2</td><td>13</td><td>17</td><td>0.058824</td><td>0.0</td><td>0.176471</td><td>0.058824</td><td>0.117647</td><td>0.058824</td><td>0.0</td><td>0.0</td><td>0.117647</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.058824</td><td>0.058824</td><td>0.058824</td><td>0.0</td><td>0.0</td><td>0.058824</td><td>0.058824</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.058824</td><td>0.0</td><td>&quot;sciencefriday.…</td><td>17</td><td>0.941176</td><td>0.0</td><td>0.058824</td><td>&quot;sciencefriday&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;&quot;</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>&quot;alloyentertain…</td><td>&quot;legit&quot;</td><td>[&quot;alloyentertainment&quot;, &quot;com&quot;]</td><td>2</td><td>3</td><td>22</td><td>0.090909</td><td>0.0</td><td>0.045455</td><td>0.0</td><td>0.136364</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.045455</td><td>0.0</td><td>0.0</td><td>0.090909</td><td>0.090909</td><td>0.136364</td><td>0.090909</td><td>0.0</td><td>0.0</td><td>0.045455</td><td>0.0</td><td>0.136364</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.045455</td><td>0.0</td><td>&quot;alloyentertain…</td><td>22</td><td>0.954545</td><td>0.0</td><td>0.045455</td><td>&quot;alloyentertain…</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;&quot;</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>&quot;itaringa.net&quot;</td><td>&quot;legit&quot;</td><td>[&quot;itaringa&quot;, &quot;net&quot;]</td><td>2</td><td>3</td><td>12</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;itaringa.net&quot;</td><td>12</td><td>0.916667</td><td>0.0</td><td>0.083333</td><td>&quot;itaringa&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;&quot;</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>&quot;drivershq.com&quot;</td><td>&quot;legit&quot;</td><td>[&quot;drivershq&quot;, &quot;com&quot;]</td><td>2</td><td>9</td><td>13</td><td>0.0</td><td>0.0</td><td>0.076923</td><td>0.076923</td><td>0.076923</td><td>0.0</td><td>0.0</td><td>0.076923</td><td>0.076923</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.076923</td><td>0.0</td><td>0.076923</td><td>0.0</td><td>0.076923</td><td>0.153846</td><td>0.076923</td><td>0.0</td><td>0.0</td><td>0.076923</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;drivershq.com&quot;</td><td>13</td><td>0.923077</td><td>0.0</td><td>0.076923</td><td>&quot;drivershq&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;&quot;</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>&quot;adsunflower.co…</td><td>&quot;legit&quot;</td><td>[&quot;adsunflower&quot;, &quot;com&quot;]</td><td>2</td><td>3</td><td>15</td><td>0.066667</td><td>0.0</td><td>0.066667</td><td>0.066667</td><td>0.066667</td><td>0.066667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.066667</td><td>0.066667</td><td>0.066667</td><td>0.133333</td><td>0.0</td><td>0.0</td><td>0.066667</td><td>0.066667</td><td>0.0</td><td>0.066667</td><td>0.0</td><td>0.066667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;adsunflower.co…</td><td>15</td><td>0.933333</td><td>0.0</td><td>0.066667</td><td>&quot;adsunflower&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;&quot;</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>&quot;meride.tv&quot;</td><td>&quot;legit&quot;</td><td>[&quot;meride&quot;, &quot;tv&quot;]</td><td>2</td><td>2</td><td>9</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.111111</td><td>0.222222</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.111111</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.111111</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.111111</td><td>0.0</td><td>0.111111</td><td>0.0</td><td>0.111111</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;meride.tv&quot;</td><td>9</td><td>0.888889</td><td>0.0</td><td>0.111111</td><td>&quot;meride&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;&quot;</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>&quot;sanalpazar.com…</td><td>&quot;legit&quot;</td><td>[&quot;sanalpazar&quot;, &quot;com&quot;]</td><td>2</td><td>10</td><td>14</td><td>0.285714</td><td>0.0</td><td>0.071429</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.071429</td><td>0.071429</td><td>0.071429</td><td>0.071429</td><td>0.071429</td><td>0.0</td><td>0.071429</td><td>0.071429</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.071429</td><td>&quot;sanalpazar.com…</td><td>14</td><td>0.928571</td><td>0.0</td><td>0.071429</td><td>&quot;sanalpazar&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;&quot;</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>&quot;continular.com…</td><td>&quot;legit&quot;</td><td>[&quot;continular&quot;, &quot;com&quot;]</td><td>2</td><td>10</td><td>14</td><td>0.071429</td><td>0.0</td><td>0.142857</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.071429</td><td>0.0</td><td>0.0</td><td>0.071429</td><td>0.071429</td><td>0.142857</td><td>0.142857</td><td>0.0</td><td>0.0</td><td>0.071429</td><td>0.0</td><td>0.071429</td><td>0.071429</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;continular.com…</td><td>14</td><td>0.928571</td><td>0.0</td><td>0.071429</td><td>&quot;continular&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;&quot;</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr><tr><td>&quot;ilsemedia.nl&quot;</td><td>&quot;legit&quot;</td><td>[&quot;ilsemedia&quot;, &quot;nl&quot;]</td><td>2</td><td>2</td><td>12</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.166667</td><td>0.083333</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;ilsemedia.nl&quot;</td><td>12</td><td>0.916667</td><td>0.0</td><td>0.083333</td><td>&quot;ilsemedia&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;&quot;</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td></tr></tbody></table></div>"
       ],
       "text/plain": [
-       "shape: (1_657_234, 45)\n",
+       "shape: (1_657_234, 47)\n",
        "┌────────────┬───────┬────────────┬────────────┬───┬───────────┬───────────┬───────────┬───────────┐\n",
        "│ query      ┆ class ┆ labels     ┆ label_leng ┆ … ┆ thirdleve ┆ thirdleve ┆ thirdleve ┆ thirdleve │\n",
-       "│ ---        ┆ ---   ┆ ---        ┆ th         ┆   ┆ ldomain   ┆ ldomain_f ┆ ldomain_n ┆ ldomain_s │\n",
-       "│ str        ┆ str   ┆ list[str]  ┆ ---        ┆   ┆ ---       ┆ ull_count ┆ umeric_co ┆ pecial_co │\n",
-       "│            ┆       ┆            ┆ u32        ┆   ┆ str       ┆ ---       ┆ unt       ┆ unt       │\n",
-       "│            ┆       ┆            ┆            ┆   ┆           ┆ u32       ┆ ---       ┆ ---       │\n",
-       "│            ┆       ┆            ┆            ┆   ┆           ┆           ┆ u32       ┆ u32       │\n",
+       "│ ---        ┆ ---   ┆ ---        ┆ th         ┆   ┆ ldomain_f ┆ ldomain_a ┆ ldomain_n ┆ ldomain_s │\n",
+       "│ str        ┆ str   ┆ list[str]  ┆ ---        ┆   ┆ ull_count ┆ lpha_coun ┆ umeric_co ┆ pecial_co │\n",
+       "│            ┆       ┆            ┆ u32        ┆   ┆ ---       ┆ t         ┆ unt       ┆ unt       │\n",
+       "│            ┆       ┆            ┆            ┆   ┆ f64       ┆ ---       ┆ ---       ┆ ---       │\n",
+       "│            ┆       ┆            ┆            ┆   ┆           ┆ f64       ┆ f64       ┆ f64       │\n",
        "╞════════════╪═══════╪════════════╪════════════╪═══╪═══════════╪═══════════╪═══════════╪═══════════╡\n",
-       "│ 0dev.null. ┆ legit ┆ [\"0dev\",   ┆ 4          ┆ … ┆ 0dev.null ┆ 4         ┆ 1         ┆ 0         │\n",
+       "│ 0dev.null. ┆ legit ┆ [\"0dev\",   ┆ 4          ┆ … ┆ 1.0       ┆ 0.777778  ┆ 0.111111  ┆ 0.111111  │\n",
        "│ googlepage ┆       ┆ \"null\", …  ┆            ┆   ┆           ┆           ┆           ┆           │\n",
        "│ s.com      ┆       ┆ \"com\"]     ┆            ┆   ┆           ┆           ┆           ┆           │\n",
-       "│ 0.static.w ┆ legit ┆ [\"0\",      ┆ 4          ┆ … ┆ 0.static  ┆ 1         ┆ 1         ┆ 0         │\n",
+       "│ 0.static.w ┆ legit ┆ [\"0\",      ┆ 4          ┆ … ┆ 1.0       ┆ 0.75      ┆ 0.125     ┆ 0.125     │\n",
        "│ ix.com     ┆       ┆ \"static\",  ┆            ┆   ┆           ┆           ┆           ┆           │\n",
        "│            ┆       ┆ … \"com\"]   ┆            ┆   ┆           ┆           ┆           ┆           │\n",
-       "│ a2sportsgu ┆ legit ┆ [\"a2sports ┆ 3          ┆ … ┆ a2sportsg ┆ 11        ┆ 1         ┆ 0         │\n",
-       "│ y.googlepa ┆       ┆ guy\", \"goo ┆            ┆   ┆ uy        ┆           ┆           ┆           │\n",
+       "│ a2sportsgu ┆ legit ┆ [\"a2sports ┆ 3          ┆ … ┆ 1.0       ┆ 0.909091  ┆ 0.090909  ┆ 0.0       │\n",
+       "│ y.googlepa ┆       ┆ guy\", \"goo ┆            ┆   ┆           ┆           ┆           ┆           │\n",
        "│ ges.com    ┆       ┆ glepages\", ┆            ┆   ┆           ┆           ┆           ┆           │\n",
        "│            ┆       ┆ \"…         ┆            ┆   ┆           ┆           ┆           ┆           │\n",
-       "│ a2zexperts ┆ legit ┆ [\"a2zexper ┆ 3          ┆ … ┆ a2zexpert ┆ 10        ┆ 1         ┆ 0         │\n",
-       "│ .googlepag ┆       ┆ ts\", \"goog ┆            ┆   ┆ s         ┆           ┆           ┆           │\n",
+       "│ a2zexperts ┆ legit ┆ [\"a2zexper ┆ 3          ┆ … ┆ 1.0       ┆ 0.9       ┆ 0.1       ┆ 0.0       │\n",
+       "│ .googlepag ┆       ┆ ts\", \"goog ┆            ┆   ┆           ┆           ┆           ┆           │\n",
        "│ es.com     ┆       ┆ lepages\",  ┆            ┆   ┆           ┆           ┆           ┆           │\n",
        "│            ┆       ┆ \"c…        ┆            ┆   ┆           ┆           ┆           ┆           │\n",
        "│ …          ┆ …     ┆ …          ┆ …          ┆ … ┆ …         ┆ …         ┆ …         ┆ …         │\n",
-       "│ meride.tv  ┆ legit ┆ [\"meride\", ┆ 2          ┆ … ┆           ┆ 0         ┆ 0         ┆ 0         │\n",
+       "│ meride.tv  ┆ legit ┆ [\"meride\", ┆ 2          ┆ … ┆ 0.0       ┆ 0.0       ┆ 0.0       ┆ 0.0       │\n",
        "│            ┆       ┆ \"tv\"]      ┆            ┆   ┆           ┆           ┆           ┆           │\n",
-       "│ sanalpazar ┆ legit ┆ [\"sanalpaz ┆ 2          ┆ … ┆           ┆ 0         ┆ 0         ┆ 0         │\n",
+       "│ sanalpazar ┆ legit ┆ [\"sanalpaz ┆ 2          ┆ … ┆ 0.0       ┆ 0.0       ┆ 0.0       ┆ 0.0       │\n",
        "│ .com       ┆       ┆ ar\",       ┆            ┆   ┆           ┆           ┆           ┆           │\n",
        "│            ┆       ┆ \"com\"]     ┆            ┆   ┆           ┆           ┆           ┆           │\n",
-       "│ continular ┆ legit ┆ [\"continul ┆ 2          ┆ … ┆           ┆ 0         ┆ 0         ┆ 0         │\n",
+       "│ continular ┆ legit ┆ [\"continul ┆ 2          ┆ … ┆ 0.0       ┆ 0.0       ┆ 0.0       ┆ 0.0       │\n",
        "│ .com       ┆       ┆ ar\",       ┆            ┆   ┆           ┆           ┆           ┆           │\n",
        "│            ┆       ┆ \"com\"]     ┆            ┆   ┆           ┆           ┆           ┆           │\n",
-       "│ ilsemedia. ┆ legit ┆ [\"ilsemedi ┆ 2          ┆ … ┆           ┆ 0         ┆ 0         ┆ 0         │\n",
+       "│ ilsemedia. ┆ legit ┆ [\"ilsemedi ┆ 2          ┆ … ┆ 0.0       ┆ 0.0       ┆ 0.0       ┆ 0.0       │\n",
        "│ nl         ┆       ┆ a\", \"nl\"]  ┆            ┆   ┆           ┆           ┆           ┆           │\n",
        "└────────────┴───────┴────────────┴────────────┴───┴───────────┴───────────┴───────────┴───────────┘"
       ]
      },
-     "execution_count": 71,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -406,25 +404,15 @@
     "                pl.col(\"labels\").list.get(-2)\n",
     "            ).otherwise(\n",
     "                pl.col(\"labels\").list.get(0)\n",
-    "            ).alias(\"secondleveldomain\")),\n",
-    "        (pl.when(pl.col(\"labels\").list.len() > 2)\n",
-    "            .then(\n",
-    "                pl.col(\"labels\").list.get(1).str.len_chars()\n",
-    "            ).otherwise(\n",
-    "                pl.col(\"labels\").list.get(0).str.len_chars()\n",
-    "            ).alias(\"secondleveldomain_full_count\")),\n",
-    "        (pl.when(pl.col(\"labels\").list.len() > 2)\n",
-    "            .then(\n",
-    "                pl.col(\"labels\").list.get(1).str.count_matches(r\"[0-9]\")\n",
-    "            ).otherwise(\n",
-    "                pl.col(\"labels\").list.get(0).str.count_matches(r\"[0-9]\")\n",
-    "            ).alias(\"secondleveldomainn_numeric_count\")),\n",
-    "        (pl.when(pl.col(\"labels\").list.len() > 2)\n",
-    "            .then(\n",
-    "                pl.col(\"labels\").list.get(1).str.count_matches(r\"[^\\w\\s]\")\n",
-    "            ).otherwise(\n",
-    "                pl.col(\"labels\").list.get(0).str.count_matches(r\"[^\\w\\s]\")\n",
-    "            ).alias(\"secondleveldomain_special_count\")),\n",
+    "            ).alias(\"secondleveldomain\"))\n",
+    "    ]\n",
+    ")\n",
+    "df_dgta_processed = df_dgta_processed.with_columns(\n",
+    "    [\n",
+    "        (pl.col(\"secondleveldomain\").str.len_chars().truediv(pl.col(\"secondleveldomain\").str.len_chars()).alias(\"secondleveldomain_full_count\")),\n",
+    "        (pl.col(\"secondleveldomain\").str.count_matches(r\"[a-zA-Z]\").truediv(pl.col(\"secondleveldomain\").str.len_chars())).alias(\"secondleveldomainn_alpha_count\"),\n",
+    "        (pl.col(\"secondleveldomain\").str.count_matches(r\"[0-9]\").truediv(pl.col(\"secondleveldomain\").str.len_chars())).alias(\"secondleveldomainn_numeric_count\"),\n",
+    "        (pl.col(\"secondleveldomain\").str.count_matches(r\"[^\\w\\s]\").truediv(pl.col(\"secondleveldomain\").str.len_chars())).alias(\"secondleveldomain_special_count\"),\n",
     "    ]\n",
     ")\n",
     "df_dgta_processed = df_dgta_processed.with_columns(\n",
@@ -434,28 +422,26 @@
     "            .then(\n",
     "               pl.col(\"labels\").list.slice(0, pl.col(\"labels\").list.len() - 2).list.join(\".\")\n",
     "            ).otherwise(pl.lit(\"\")).alias(\"thirdleveldomain\")),\n",
-    "        (pl.when(pl.col(\"labels\").list.len() > 2)\n",
-    "            .then(\n",
-    "                pl.col(\"labels\").list.get(0).str.len_chars()\n",
-    "            ).otherwise(0).alias(\"thirdleveldomain_full_count\")),\n",
-    "        (pl.when(pl.col(\"labels\").list.len() > 2)\n",
-    "            .then(\n",
-    "                pl.col(\"labels\").list.get(0).str.count_matches(r\"[0-9]\")\n",
-    "            ).otherwise(0).alias(\"thirdleveldomain_numeric_count\")),\n",
-    "        (pl.when(pl.col(\"labels\").list.len() > 2)\n",
-    "            .then(\n",
-    "                pl.col(\"labels\").list.get(0).str.count_matches(r\"[^\\w\\s]\")\n",
-    "            ).otherwise(0).alias(\"thirdleveldomain_special_count\")),\n",
-    "        \n",
     "    ]\n",
     ")\n",
+    "df_dgta_processed = df_dgta_processed.with_columns(\n",
+    "    [\n",
+    "        (pl.col(\"thirdleveldomain\").str.len_chars().truediv(pl.col(\"thirdleveldomain\").str.len_chars()).alias(\"thirdleveldomain_full_count\")),\n",
+    "        (pl.col(\"thirdleveldomain\").str.count_matches(r\"[a-zA-Z]\").truediv(pl.col(\"thirdleveldomain\").str.len_chars())).alias(\"thirdleveldomain_alpha_count\"),\n",
+    "        (pl.col(\"thirdleveldomain\").str.count_matches(r\"[0-9]\").truediv(pl.col(\"thirdleveldomain\").str.len_chars())).alias(\"thirdleveldomain_numeric_count\"),\n",
+    "        (pl.col(\"thirdleveldomain\").str.count_matches(r\"[^\\w\\s]\").truediv(pl.col(\"thirdleveldomain\").str.len_chars())).alias(\"thirdleveldomain_special_count\"),\n",
+    "    ]\n",
+    ")\n",
+    "\n",
+    "# Fill NaN\n",
+    "df_dgta_processed = df_dgta_processed.fill_nan(0)\n",
     "\n",
     "df_dgta_processed #.describe()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -468,47 +454,47 @@
        "  white-space: pre-wrap;\n",
        "}\n",
        "</style>\n",
-       "<small>shape: (1_657_234, 48)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>query</th><th>class</th><th>labels</th><th>label_length</th><th>label_max</th><th>label_average</th><th>freq_a</th><th>freq_b</th><th>freq_c</th><th>freq_d</th><th>freq_e</th><th>freq_f</th><th>freq_g</th><th>freq_h</th><th>freq_i</th><th>freq_j</th><th>freq_k</th><th>freq_l</th><th>freq_m</th><th>freq_n</th><th>freq_o</th><th>freq_p</th><th>freq_q</th><th>freq_r</th><th>freq_s</th><th>freq_t</th><th>freq_u</th><th>freq_v</th><th>freq_w</th><th>freq_x</th><th>freq_y</th><th>freq_z</th><th>fqdn</th><th>fqdn_full_count</th><th>fqdn_alpha_count</th><th>fqdn_numeric_count</th><th>fqdn_special_count</th><th>secondleveldomain</th><th>secondleveldomain_full_count</th><th>secondleveldomainn_numeric_count</th><th>secondleveldomain_special_count</th><th>thirdleveldomain</th><th>thirdleveldomain_full_count</th><th>thirdleveldomain_numeric_count</th><th>thirdleveldomain_special_count</th><th>fqdn_entropy</th><th>thirdleveldomain_entropy</th><th>secondleveldomain_entropy</th></tr><tr><td>str</td><td>str</td><td>list[str]</td><td>u32</td><td>u32</td><td>u32</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>str</td><td>u32</td><td>f64</td><td>f64</td><td>f64</td><td>str</td><td>u32</td><td>u32</td><td>u32</td><td>str</td><td>u32</td><td>u32</td><td>u32</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;0dev.null.goog…</td><td>&quot;legit&quot;</td><td>[&quot;0dev&quot;, &quot;null&quot;, … &quot;com&quot;]</td><td>4</td><td>4</td><td>25</td><td>0.04</td><td>0.0</td><td>0.04</td><td>0.04</td><td>0.12</td><td>0.0</td><td>0.12</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.12</td><td>0.04</td><td>0.04</td><td>0.12</td><td>0.04</td><td>0.0</td><td>0.0</td><td>0.04</td><td>0.0</td><td>0.04</td><td>0.04</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;0dev.null.goog…</td><td>25</td><td>0.84</td><td>0.04</td><td>0.12</td><td>&quot;googlepages&quot;</td><td>4</td><td>0</td><td>0</td><td>&quot;0dev.null&quot;</td><td>4</td><td>1</td><td>0</td><td>3.692879</td><td>2.947703</td><td>2.663533</td></tr><tr><td>&quot;0.static.wix.c…</td><td>&quot;legit&quot;</td><td>[&quot;0&quot;, &quot;static&quot;, … &quot;com&quot;]</td><td>4</td><td>3</td><td>16</td><td>0.0625</td><td>0.0</td><td>0.125</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.125</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0625</td><td>0.0</td><td>0.0625</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0625</td><td>0.125</td><td>0.0</td><td>0.0</td><td>0.0625</td><td>0.0625</td><td>0.0</td><td>0.0</td><td>&quot;0.static.wix.c…</td><td>16</td><td>0.75</td><td>0.0625</td><td>0.1875</td><td>&quot;wix&quot;</td><td>6</td><td>0</td><td>0</td><td>&quot;0.static&quot;</td><td>1</td><td>1</td><td>0</td><td>3.32782</td><td>2.75</td><td>1.584963</td></tr><tr><td>&quot;a2sportsguy.go…</td><td>&quot;legit&quot;</td><td>[&quot;a2sportsguy&quot;, &quot;googlepages&quot;, &quot;com&quot;]</td><td>3</td><td>11</td><td>27</td><td>0.074074</td><td>0.0</td><td>0.037037</td><td>0.0</td><td>0.074074</td><td>0.0</td><td>0.148148</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.037037</td><td>0.037037</td><td>0.0</td><td>0.148148</td><td>0.074074</td><td>0.0</td><td>0.037037</td><td>0.111111</td><td>0.037037</td><td>0.037037</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.037037</td><td>0.0</td><td>&quot;a2sportsguy.go…</td><td>27</td><td>0.888889</td><td>0.037037</td><td>0.074074</td><td>&quot;googlepages&quot;</td><td>11</td><td>0</td><td>0</td><td>&quot;a2sportsguy&quot;</td><td>11</td><td>1</td><td>0</td><td>3.689892</td><td>3.277613</td><td>2.663533</td></tr><tr><td>&quot;a2zexperts.goo…</td><td>&quot;legit&quot;</td><td>[&quot;a2zexperts&quot;, &quot;googlepages&quot;, &quot;com&quot;]</td><td>3</td><td>11</td><td>26</td><td>0.076923</td><td>0.0</td><td>0.038462</td><td>0.0</td><td>0.153846</td><td>0.0</td><td>0.115385</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.038462</td><td>0.038462</td><td>0.0</td><td>0.115385</td><td>0.076923</td><td>0.0</td><td>0.038462</td><td>0.076923</td><td>0.038462</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.038462</td><td>0.0</td><td>0.038462</td><td>&quot;a2zexperts.goo…</td><td>26</td><td>0.884615</td><td>0.038462</td><td>0.076923</td><td>&quot;googlepages&quot;</td><td>11</td><td>0</td><td>0</td><td>&quot;a2zexperts&quot;</td><td>10</td><td>1</td><td>0</td><td>3.719295</td><td>3.121928</td><td>2.663533</td></tr><tr><td>&quot;a2zvs.setmore.…</td><td>&quot;legit&quot;</td><td>[&quot;a2zvs&quot;, &quot;setmore&quot;, &quot;com&quot;]</td><td>3</td><td>7</td><td>17</td><td>0.058824</td><td>0.0</td><td>0.058824</td><td>0.0</td><td>0.117647</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.117647</td><td>0.0</td><td>0.117647</td><td>0.0</td><td>0.0</td><td>0.058824</td><td>0.117647</td><td>0.058824</td><td>0.0</td><td>0.058824</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.058824</td><td>&quot;a2zvs.setmore.…</td><td>17</td><td>0.823529</td><td>0.058824</td><td>0.117647</td><td>&quot;setmore&quot;</td><td>7</td><td>0</td><td>0</td><td>&quot;a2zvs&quot;</td><td>5</td><td>1</td><td>0</td><td>3.499228</td><td>2.321928</td><td>2.521641</td></tr><tr><td>&quot;aaa.bbb.ccc.co…</td><td>&quot;legit&quot;</td><td>[&quot;aaa&quot;, &quot;bbb&quot;, … &quot;com&quot;]</td><td>4</td><td>3</td><td>15</td><td>0.2</td><td>0.2</td><td>0.266667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.066667</td><td>0.0</td><td>0.066667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;aaa.bbb.ccc.co…</td><td>15</td><td>0.8</td><td>0.0</td><td>0.2</td><td>&quot;ccc&quot;</td><td>3</td><td>0</td><td>0</td><td>&quot;aaa.bbb&quot;</td><td>3</td><td>0</td><td>0</td><td>2.42258</td><td>1.448816</td><td>0.0</td></tr><tr><td>&quot;aaainfotech.go…</td><td>&quot;legit&quot;</td><td>[&quot;aaainfotech&quot;, &quot;googlepages&quot;, &quot;com&quot;]</td><td>3</td><td>11</td><td>27</td><td>0.148148</td><td>0.0</td><td>0.074074</td><td>0.0</td><td>0.111111</td><td>0.037037</td><td>0.111111</td><td>0.037037</td><td>0.037037</td><td>0.0</td><td>0.0</td><td>0.037037</td><td>0.037037</td><td>0.037037</td><td>0.148148</td><td>0.037037</td><td>0.0</td><td>0.0</td><td>0.037037</td><td>0.037037</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;aaainfotech.go…</td><td>27</td><td>0.925926</td><td>0.0</td><td>0.074074</td><td>&quot;googlepages&quot;</td><td>11</td><td>0</td><td>0</td><td>&quot;aaainfotech&quot;</td><td>11</td><td>0</td><td>0</td><td>3.661933</td><td>3.027169</td><td>2.663533</td></tr><tr><td>&quot;aaa.princeton.…</td><td>&quot;legit&quot;</td><td>[&quot;aaa&quot;, &quot;princeton&quot;, &quot;edu&quot;]</td><td>3</td><td>9</td><td>17</td><td>0.176471</td><td>0.0</td><td>0.058824</td><td>0.058824</td><td>0.117647</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.058824</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.117647</td><td>0.058824</td><td>0.058824</td><td>0.0</td><td>0.058824</td><td>0.0</td><td>0.058824</td><td>0.058824</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;aaa.princeton.…</td><td>17</td><td>0.882353</td><td>0.0</td><td>0.117647</td><td>&quot;princeton&quot;</td><td>9</td><td>0</td><td>0</td><td>&quot;aaa&quot;</td><td>3</td><td>0</td><td>0</td><td>3.454822</td><td>0.0</td><td>2.947703</td></tr><tr><td>&quot;aaa.ssis.edu.v…</td><td>&quot;legit&quot;</td><td>[&quot;aaa&quot;, &quot;ssis&quot;, … &quot;vn&quot;]</td><td>4</td><td>2</td><td>15</td><td>0.2</td><td>0.0</td><td>0.0</td><td>0.066667</td><td>0.066667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.066667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.066667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.2</td><td>0.0</td><td>0.066667</td><td>0.066667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;aaa.ssis.edu.v…</td><td>15</td><td>0.8</td><td>0.0</td><td>0.2</td><td>&quot;edu&quot;</td><td>4</td><td>0</td><td>0</td><td>&quot;aaa.ssis&quot;</td><td>3</td><td>0</td><td>0</td><td>2.955913</td><td>1.811278</td><td>1.584963</td></tr><tr><td>&quot;aacon.agilecrm…</td><td>&quot;legit&quot;</td><td>[&quot;aacon&quot;, &quot;agilecrm&quot;, &quot;com&quot;]</td><td>3</td><td>3</td><td>18</td><td>0.166667</td><td>0.0</td><td>0.166667</td><td>0.0</td><td>0.055556</td><td>0.0</td><td>0.055556</td><td>0.0</td><td>0.055556</td><td>0.0</td><td>0.0</td><td>0.055556</td><td>0.111111</td><td>0.055556</td><td>0.111111</td><td>0.0</td><td>0.0</td><td>0.055556</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;aacon.agilecrm…</td><td>18</td><td>0.888889</td><td>0.0</td><td>0.111111</td><td>&quot;agilecrm&quot;</td><td>8</td><td>0</td><td>0</td><td>&quot;aacon&quot;</td><td>5</td><td>0</td><td>0</td><td>3.308271</td><td>1.921928</td><td>3.0</td></tr><tr><td>&quot;aa.datta.net&quot;</td><td>&quot;legit&quot;</td><td>[&quot;aa&quot;, &quot;datta&quot;, &quot;net&quot;]</td><td>3</td><td>3</td><td>12</td><td>0.333333</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.25</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;aa.datta.net&quot;</td><td>12</td><td>0.833333</td><td>0.0</td><td>0.166667</td><td>&quot;datta&quot;</td><td>5</td><td>0</td><td>0</td><td>&quot;aa&quot;</td><td>2</td><td>0</td><td>0</td><td>2.355389</td><td>0.0</td><td>1.521928</td></tr><tr><td>&quot;aaditchetan.go…</td><td>&quot;legit&quot;</td><td>[&quot;aaditchetan&quot;, &quot;googlepages&quot;, &quot;com&quot;]</td><td>3</td><td>11</td><td>27</td><td>0.148148</td><td>0.0</td><td>0.074074</td><td>0.037037</td><td>0.111111</td><td>0.0</td><td>0.111111</td><td>0.037037</td><td>0.037037</td><td>0.0</td><td>0.0</td><td>0.037037</td><td>0.037037</td><td>0.037037</td><td>0.111111</td><td>0.037037</td><td>0.0</td><td>0.0</td><td>0.037037</td><td>0.074074</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;aaditchetan.go…</td><td>27</td><td>0.925926</td><td>0.0</td><td>0.074074</td><td>&quot;googlepages&quot;</td><td>11</td><td>0</td><td>0</td><td>&quot;aaditchetan&quot;</td><td>11</td><td>0</td><td>0</td><td>3.708048</td><td>2.845351</td><td>2.663533</td></tr><tr><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td><td>&hellip;</td></tr><tr><td>&quot;southwestvacat…</td><td>&quot;legit&quot;</td><td>[&quot;southwestvacations&quot;, &quot;com&quot;]</td><td>2</td><td>18</td><td>22</td><td>0.090909</td><td>0.0</td><td>0.090909</td><td>0.0</td><td>0.045455</td><td>0.0</td><td>0.0</td><td>0.045455</td><td>0.045455</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.045455</td><td>0.045455</td><td>0.136364</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.136364</td><td>0.136364</td><td>0.045455</td><td>0.045455</td><td>0.045455</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;southwestvacat…</td><td>22</td><td>0.954545</td><td>0.0</td><td>0.045455</td><td>&quot;southwestvacat…</td><td>18</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td><td>3.62922</td><td>0.0</td><td>3.419382</td></tr><tr><td>&quot;unbxdapi.com&quot;</td><td>&quot;legit&quot;</td><td>[&quot;unbxdapi&quot;, &quot;com&quot;]</td><td>2</td><td>8</td><td>12</td><td>0.083333</td><td>0.083333</td><td>0.083333</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.083333</td><td>0.083333</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>&quot;unbxdapi.com&quot;</td><td>12</td><td>0.916667</td><td>0.0</td><td>0.083333</td><td>&quot;unbxdapi&quot;</td><td>8</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td><td>3.584963</td><td>0.0</td><td>3.0</td></tr><tr><td>&quot;celljournalist…</td><td>&quot;legit&quot;</td><td>[&quot;celljournalist&quot;, &quot;com&quot;]</td><td>2</td><td>3</td><td>18</td><td>0.055556</td><td>0.0</td><td>0.111111</td><td>0.0</td><td>0.055556</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.055556</td><td>0.055556</td><td>0.0</td><td>0.166667</td><td>0.055556</td><td>0.055556</td><td>0.111111</td><td>0.0</td><td>0.0</td><td>0.055556</td><td>0.055556</td><td>0.055556</td><td>0.055556</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;celljournalist…</td><td>18</td><td>0.944444</td><td>0.0</td><td>0.055556</td><td>&quot;celljournalist…</td><td>14</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td><td>3.683542</td><td>0.0</td><td>3.46772</td></tr><tr><td>&quot;sciencefriday.…</td><td>&quot;legit&quot;</td><td>[&quot;sciencefriday&quot;, &quot;com&quot;]</td><td>2</td><td>13</td><td>17</td><td>0.058824</td><td>0.0</td><td>0.176471</td><td>0.058824</td><td>0.117647</td><td>0.058824</td><td>0.0</td><td>0.0</td><td>0.117647</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.058824</td><td>0.058824</td><td>0.058824</td><td>0.0</td><td>0.0</td><td>0.058824</td><td>0.058824</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.058824</td><td>0.0</td><td>&quot;sciencefriday.…</td><td>17</td><td>0.941176</td><td>0.0</td><td>0.058824</td><td>&quot;sciencefriday&quot;</td><td>13</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td><td>3.572469</td><td>0.0</td><td>3.238901</td></tr><tr><td>&quot;alloyentertain…</td><td>&quot;legit&quot;</td><td>[&quot;alloyentertainment&quot;, &quot;com&quot;]</td><td>2</td><td>3</td><td>22</td><td>0.090909</td><td>0.0</td><td>0.045455</td><td>0.0</td><td>0.136364</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.045455</td><td>0.0</td><td>0.0</td><td>0.090909</td><td>0.090909</td><td>0.136364</td><td>0.090909</td><td>0.0</td><td>0.0</td><td>0.045455</td><td>0.0</td><td>0.136364</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.045455</td><td>0.0</td><td>&quot;alloyentertain…</td><td>22</td><td>0.954545</td><td>0.0</td><td>0.045455</td><td>&quot;alloyentertain…</td><td>18</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td><td>3.447402</td><td>0.0</td><td>3.155222</td></tr><tr><td>&quot;itaringa.net&quot;</td><td>&quot;legit&quot;</td><td>[&quot;itaringa&quot;, &quot;net&quot;]</td><td>2</td><td>3</td><td>12</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;itaringa.net&quot;</td><td>12</td><td>0.916667</td><td>0.0</td><td>0.083333</td><td>&quot;itaringa&quot;</td><td>8</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td><td>2.918296</td><td>0.0</td><td>2.5</td></tr><tr><td>&quot;drivershq.com&quot;</td><td>&quot;legit&quot;</td><td>[&quot;drivershq&quot;, &quot;com&quot;]</td><td>2</td><td>9</td><td>13</td><td>0.0</td><td>0.0</td><td>0.076923</td><td>0.076923</td><td>0.076923</td><td>0.0</td><td>0.0</td><td>0.076923</td><td>0.076923</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.076923</td><td>0.0</td><td>0.076923</td><td>0.0</td><td>0.076923</td><td>0.153846</td><td>0.076923</td><td>0.0</td><td>0.0</td><td>0.076923</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;drivershq.com&quot;</td><td>13</td><td>0.923077</td><td>0.0</td><td>0.076923</td><td>&quot;drivershq&quot;</td><td>9</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td><td>3.546594</td><td>0.0</td><td>2.947703</td></tr><tr><td>&quot;adsunflower.co…</td><td>&quot;legit&quot;</td><td>[&quot;adsunflower&quot;, &quot;com&quot;]</td><td>2</td><td>3</td><td>15</td><td>0.066667</td><td>0.0</td><td>0.066667</td><td>0.066667</td><td>0.066667</td><td>0.066667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.066667</td><td>0.066667</td><td>0.066667</td><td>0.133333</td><td>0.0</td><td>0.0</td><td>0.066667</td><td>0.066667</td><td>0.0</td><td>0.066667</td><td>0.0</td><td>0.066667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;adsunflower.co…</td><td>15</td><td>0.933333</td><td>0.0</td><td>0.066667</td><td>&quot;adsunflower&quot;</td><td>11</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td><td>3.773557</td><td>0.0</td><td>3.459432</td></tr><tr><td>&quot;meride.tv&quot;</td><td>&quot;legit&quot;</td><td>[&quot;meride&quot;, &quot;tv&quot;]</td><td>2</td><td>2</td><td>9</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.111111</td><td>0.222222</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.111111</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.111111</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.111111</td><td>0.0</td><td>0.111111</td><td>0.0</td><td>0.111111</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;meride.tv&quot;</td><td>9</td><td>0.888889</td><td>0.0</td><td>0.111111</td><td>&quot;meride&quot;</td><td>6</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td><td>2.947703</td><td>0.0</td><td>2.251629</td></tr><tr><td>&quot;sanalpazar.com…</td><td>&quot;legit&quot;</td><td>[&quot;sanalpazar&quot;, &quot;com&quot;]</td><td>2</td><td>10</td><td>14</td><td>0.285714</td><td>0.0</td><td>0.071429</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.071429</td><td>0.071429</td><td>0.071429</td><td>0.071429</td><td>0.071429</td><td>0.0</td><td>0.071429</td><td>0.071429</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.071429</td><td>&quot;sanalpazar.com…</td><td>14</td><td>0.928571</td><td>0.0</td><td>0.071429</td><td>&quot;sanalpazar&quot;</td><td>10</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td><td>3.235926</td><td>0.0</td><td>2.521928</td></tr><tr><td>&quot;continular.com…</td><td>&quot;legit&quot;</td><td>[&quot;continular&quot;, &quot;com&quot;]</td><td>2</td><td>10</td><td>14</td><td>0.071429</td><td>0.0</td><td>0.142857</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.071429</td><td>0.0</td><td>0.0</td><td>0.071429</td><td>0.071429</td><td>0.142857</td><td>0.142857</td><td>0.0</td><td>0.0</td><td>0.071429</td><td>0.0</td><td>0.071429</td><td>0.071429</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;continular.com…</td><td>14</td><td>0.928571</td><td>0.0</td><td>0.071429</td><td>&quot;continular&quot;</td><td>10</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td><td>3.378783</td><td>0.0</td><td>3.121928</td></tr><tr><td>&quot;ilsemedia.nl&quot;</td><td>&quot;legit&quot;</td><td>[&quot;ilsemedia&quot;, &quot;nl&quot;]</td><td>2</td><td>2</td><td>12</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.166667</td><td>0.083333</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;ilsemedia.nl&quot;</td><td>12</td><td>0.916667</td><td>0.0</td><td>0.083333</td><td>&quot;ilsemedia&quot;</td><td>9</td><td>0</td><td>0</td><td>&quot;&quot;</td><td>0</td><td>0</td><td>0</td><td>3.084963</td><td>0.0</td><td>2.725481</td></tr></tbody></table></div>"
+       "<small>shape: (1_657_234, 50)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>query</th><th>class</th><th>labels</th><th>label_length</th><th>label_max</th><th>label_average</th><th>freq_a</th><th>freq_b</th><th>freq_c</th><th>freq_d</th><th>freq_e</th><th>freq_f</th><th>freq_g</th><th>freq_h</th><th>freq_i</th><th>freq_j</th><th>freq_k</th><th>freq_l</th><th>freq_m</th><th>freq_n</th><th>freq_o</th><th>freq_p</th><th>freq_q</th><th>freq_r</th><th>freq_s</th><th>freq_t</th><th>freq_u</th><th>freq_v</th><th>freq_w</th><th>freq_x</th><th>freq_y</th><th>freq_z</th><th>fqdn</th><th>fqdn_full_count</th><th>fqdn_alpha_count</th><th>fqdn_numeric_count</th><th>fqdn_special_count</th><th>secondleveldomain</th><th>secondleveldomain_full_count</th><th>secondleveldomainn_alpha_count</th><th>secondleveldomainn_numeric_count</th><th>secondleveldomain_special_count</th><th>thirdleveldomain</th><th>thirdleveldomain_full_count</th><th>thirdleveldomain_alpha_count</th><th>thirdleveldomain_numeric_count</th><th>thirdleveldomain_special_count</th><th>fqdn_entropy</th><th>thirdleveldomain_entropy</th><th>secondleveldomain_entropy</th></tr><tr><td>str</td><td>str</td><td>list[str]</td><td>u32</td><td>u32</td><td>u32</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>str</td><td>u32</td><td>f64</td><td>f64</td><td>f64</td><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>str</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td><td>f64</td></tr></thead><tbody><tr><td>&quot;0dev.null.goog…</td><td>&quot;legit&quot;</td><td>[&quot;0dev&quot;, &quot;null&quot;, … &quot;com&quot;]</td><td>4</td><td>4</td><td>25</td><td>0.04</td><td>0.0</td><td>0.04</td><td>0.04</td><td>0.12</td><td>0.0</td><td>0.12</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.12</td><td>0.04</td><td>0.04</td><td>0.12</td><td>0.04</td><td>0.0</td><td>0.0</td><td>0.04</td><td>0.0</td><td>0.04</td><td>0.04</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;0dev.null.goog…</td><td>25</td><td>0.84</td><td>0.04</td><td>0.12</td><td>&quot;googlepages&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;0dev.null&quot;</td><td>1.0</td><td>0.777778</td><td>0.111111</td><td>0.111111</td><td>3.692879</td><td>2.947703</td><td>2.663533</td></tr><tr><td>&quot;0.static.wix.c…</td><td>&quot;legit&quot;</td><td>[&quot;0&quot;, &quot;static&quot;, … &quot;com&quot;]</td><td>4</td><td>3</td><td>16</td><td>0.0625</td><td>0.0</td><td>0.125</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.125</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0625</td><td>0.0</td><td>0.0625</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0625</td><td>0.125</td><td>0.0</td><td>0.0</td><td>0.0625</td><td>0.0625</td><td>0.0</td><td>0.0</td><td>&quot;0.static.wix.c…</td><td>16</td><td>0.75</td><td>0.0625</td><td>0.1875</td><td>&quot;wix&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;0.static&quot;</td><td>1.0</td><td>0.75</td><td>0.125</td><td>0.125</td><td>3.32782</td><td>2.75</td><td>1.584963</td></tr><tr><td>&quot;a2sportsguy.go…</td><td>&quot;legit&quot;</td><td>[&quot;a2sportsguy&quot;, &quot;googlepages&quot;, &quot;com&quot;]</td><td>3</td><td>11</td><td>27</td><td>0.074074</td><td>0.0</td><td>0.037037</td><td>0.0</td><td>0.074074</td><td>0.0</td><td>0.148148</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.037037</td><td>0.037037</td><td>0.0</td><td>0.148148</td><td>0.074074</td><td>0.0</td><td>0.037037</td><td>0.111111</td><td>0.037037</td><td>0.037037</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.037037</td><td>0.0</td><td>&quot;a2sportsguy.go…</td><td>27</td><td>0.888889</td><td>0.037037</td><td>0.074074</td><td>&quot;googlepages&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;a2sportsguy&quot;</td><td>1.0</td><td>0.909091</td><td>0.090909</td><td>0.0</td><td>3.689892</td><td>3.277613</td><td>2.663533</td></tr><tr><td>&quot;a2zexperts.goo…</td><td>&quot;legit&quot;</td><td>[&quot;a2zexperts&quot;, &quot;googlepages&quot;, &quot;com&quot;]</td><td>3</td><td>11</td><td>26</td><td>0.076923</td><td>0.0</td><td>0.038462</td><td>0.0</td><td>0.153846</td><td>0.0</td><td>0.115385</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.038462</td><td>0.038462</td><td>0.0</td><td>0.115385</td><td>0.076923</td><td>0.0</td><td>0.038462</td><td>0.076923</td><td>0.038462</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.038462</td><td>0.0</td><td>0.038462</td><td>&quot;a2zexperts.goo…</td><td>26</td><td>0.884615</td><td>0.038462</td><td>0.076923</td><td>&quot;googlepages&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;a2zexperts&quot;</td><td>1.0</td><td>0.9</td><td>0.1</td><td>0.0</td><td>3.719295</td><td>3.121928</td><td>2.663533</td></tr><tr><td>&quot;a2zvs.setmore.…</td><td>&quot;legit&quot;</td><td>[&quot;a2zvs&quot;, &quot;setmore&quot;, &quot;com&quot;]</td><td>3</td><td>7</td><td>17</td><td>0.058824</td><td>0.0</td><td>0.058824</td><td>0.0</td><td>0.117647</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.117647</td><td>0.0</td><td>0.117647</td><td>0.0</td><td>0.0</td><td>0.058824</td><td>0.117647</td><td>0.058824</td><td>0.0</td><td>0.058824</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.058824</td><td>&quot;a2zvs.setmore.…</td><td>17</td><td>0.823529</td><td>0.058824</td><td>0.117647</td><td>&quot;setmore&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;a2zvs&quot;</td><td>1.0</td><td>0.8</td><td>0.2</td><td>0.0</td><td>3.499228</td><td>2.321928</td><td>2.521641</td></tr><tr><td>&quot;aaa.bbb.ccc.co…</td><td>&quot;legit&quot;</td><td>[&quot;aaa&quot;, &quot;bbb&quot;, … &quot;com&quot;]</td><td>4</td><td>3</td><td>15</td><td>0.2</td><td>0.2</td><td>0.266667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.066667</td><td>0.0</td><td>0.066667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;aaa.bbb.ccc.co…</td><td>15</td><td>0.8</td><td>0.0</td><td>0.2</td><td>&quot;ccc&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;aaa.bbb&quot;</td><td>1.0</td><td>0.857143</td><td>0.0</td><td>0.142857</td><td>2.42258</td><td>1.448816</td><td>0.0</td></tr><tr><td>&quot;aaainfotech.go…</td><td>&quot;legit&quot;</td><td>[&quot;aaainfotech&quot;, &quot;googlepages&quot;, 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&quot;com&quot;]</td><td>2</td><td>3</td><td>22</td><td>0.090909</td><td>0.0</td><td>0.045455</td><td>0.0</td><td>0.136364</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.045455</td><td>0.0</td><td>0.0</td><td>0.090909</td><td>0.090909</td><td>0.136364</td><td>0.090909</td><td>0.0</td><td>0.0</td><td>0.045455</td><td>0.0</td><td>0.136364</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.045455</td><td>0.0</td><td>&quot;alloyentertain…</td><td>22</td><td>0.954545</td><td>0.0</td><td>0.045455</td><td>&quot;alloyentertain…</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;&quot;</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>3.447402</td><td>0.0</td><td>3.155222</td></tr><tr><td>&quot;itaringa.net&quot;</td><td>&quot;legit&quot;</td><td>[&quot;itaringa&quot;, &quot;net&quot;]</td><td>2</td><td>3</td><td>12</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;itaringa.net&quot;</td><td>12</td><td>0.916667</td><td>0.0</td><td>0.083333</td><td>&quot;itaringa&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;&quot;</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>2.918296</td><td>0.0</td><td>2.5</td></tr><tr><td>&quot;drivershq.com&quot;</td><td>&quot;legit&quot;</td><td>[&quot;drivershq&quot;, &quot;com&quot;]</td><td>2</td><td>9</td><td>13</td><td>0.0</td><td>0.0</td><td>0.076923</td><td>0.076923</td><td>0.076923</td><td>0.0</td><td>0.0</td><td>0.076923</td><td>0.076923</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.076923</td><td>0.0</td><td>0.076923</td><td>0.0</td><td>0.076923</td><td>0.153846</td><td>0.076923</td><td>0.0</td><td>0.0</td><td>0.076923</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;drivershq.com&quot;</td><td>13</td><td>0.923077</td><td>0.0</td><td>0.076923</td><td>&quot;drivershq&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;&quot;</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>3.546594</td><td>0.0</td><td>2.947703</td></tr><tr><td>&quot;adsunflower.co…</td><td>&quot;legit&quot;</td><td>[&quot;adsunflower&quot;, &quot;com&quot;]</td><td>2</td><td>3</td><td>15</td><td>0.066667</td><td>0.0</td><td>0.066667</td><td>0.066667</td><td>0.066667</td><td>0.066667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.066667</td><td>0.066667</td><td>0.066667</td><td>0.133333</td><td>0.0</td><td>0.0</td><td>0.066667</td><td>0.066667</td><td>0.0</td><td>0.066667</td><td>0.0</td><td>0.066667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;adsunflower.co…</td><td>15</td><td>0.933333</td><td>0.0</td><td>0.066667</td><td>&quot;adsunflower&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;&quot;</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>3.773557</td><td>0.0</td><td>3.459432</td></tr><tr><td>&quot;meride.tv&quot;</td><td>&quot;legit&quot;</td><td>[&quot;meride&quot;, &quot;tv&quot;]</td><td>2</td><td>2</td><td>9</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.111111</td><td>0.222222</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.111111</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.111111</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.111111</td><td>0.0</td><td>0.111111</td><td>0.0</td><td>0.111111</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;meride.tv&quot;</td><td>9</td><td>0.888889</td><td>0.0</td><td>0.111111</td><td>&quot;meride&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;&quot;</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>2.947703</td><td>0.0</td><td>2.251629</td></tr><tr><td>&quot;sanalpazar.com…</td><td>&quot;legit&quot;</td><td>[&quot;sanalpazar&quot;, &quot;com&quot;]</td><td>2</td><td>10</td><td>14</td><td>0.285714</td><td>0.0</td><td>0.071429</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.071429</td><td>0.071429</td><td>0.071429</td><td>0.071429</td><td>0.071429</td><td>0.0</td><td>0.071429</td><td>0.071429</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.071429</td><td>&quot;sanalpazar.com…</td><td>14</td><td>0.928571</td><td>0.0</td><td>0.071429</td><td>&quot;sanalpazar&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;&quot;</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>3.235926</td><td>0.0</td><td>2.521928</td></tr><tr><td>&quot;continular.com…</td><td>&quot;legit&quot;</td><td>[&quot;continular&quot;, &quot;com&quot;]</td><td>2</td><td>10</td><td>14</td><td>0.071429</td><td>0.0</td><td>0.142857</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.071429</td><td>0.0</td><td>0.0</td><td>0.071429</td><td>0.071429</td><td>0.142857</td><td>0.142857</td><td>0.0</td><td>0.0</td><td>0.071429</td><td>0.0</td><td>0.071429</td><td>0.071429</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;continular.com…</td><td>14</td><td>0.928571</td><td>0.0</td><td>0.071429</td><td>&quot;continular&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;&quot;</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>3.378783</td><td>0.0</td><td>3.121928</td></tr><tr><td>&quot;ilsemedia.nl&quot;</td><td>&quot;legit&quot;</td><td>[&quot;ilsemedia&quot;, &quot;nl&quot;]</td><td>2</td><td>2</td><td>12</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.166667</td><td>0.0</td><td>0.0</td><td>0.166667</td><td>0.083333</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.083333</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>&quot;ilsemedia.nl&quot;</td><td>12</td><td>0.916667</td><td>0.0</td><td>0.083333</td><td>&quot;ilsemedia&quot;</td><td>1.0</td><td>1.0</td><td>0.0</td><td>0.0</td><td>&quot;&quot;</td><td>0.0</td><td>0.0</td><td>0.0</td><td>0.0</td><td>3.084963</td><td>0.0</td><td>2.725481</td></tr></tbody></table></div>"
       ],
       "text/plain": [
-       "shape: (1_657_234, 48)\n",
+       "shape: (1_657_234, 50)\n",
        "┌────────────┬───────┬────────────┬────────────┬───┬───────────┬───────────┬───────────┬───────────┐\n",
        "│ query      ┆ class ┆ labels     ┆ label_leng ┆ … ┆ thirdleve ┆ fqdn_entr ┆ thirdleve ┆ secondlev │\n",
        "│ ---        ┆ ---   ┆ ---        ┆ th         ┆   ┆ ldomain_s ┆ opy       ┆ ldomain_e ┆ eldomain_ │\n",
        "│ str        ┆ str   ┆ list[str]  ┆ ---        ┆   ┆ pecial_co ┆ ---       ┆ ntropy    ┆ entropy   │\n",
        "│            ┆       ┆            ┆ u32        ┆   ┆ unt       ┆ f64       ┆ ---       ┆ ---       │\n",
        "│            ┆       ┆            ┆            ┆   ┆ ---       ┆           ┆ f64       ┆ f64       │\n",
-       "│            ┆       ┆            ┆            ┆   ┆ u32       ┆           ┆           ┆           │\n",
+       "│            ┆       ┆            ┆            ┆   ┆ f64       ┆           ┆           ┆           │\n",
        "╞════════════╪═══════╪════════════╪════════════╪═══╪═══════════╪═══════════╪═══════════╪═══════════╡\n",
-       "│ 0dev.null. ┆ legit ┆ [\"0dev\",   ┆ 4          ┆ … ┆ 0         ┆ 3.692879  ┆ 2.947703  ┆ 2.663533  │\n",
+       "│ 0dev.null. ┆ legit ┆ [\"0dev\",   ┆ 4          ┆ … ┆ 0.111111  ┆ 3.692879  ┆ 2.947703  ┆ 2.663533  │\n",
        "│ googlepage ┆       ┆ \"null\", …  ┆            ┆   ┆           ┆           ┆           ┆           │\n",
        "│ s.com      ┆       ┆ \"com\"]     ┆            ┆   ┆           ┆           ┆           ┆           │\n",
-       "│ 0.static.w ┆ legit ┆ [\"0\",      ┆ 4          ┆ … ┆ 0         ┆ 3.32782   ┆ 2.75      ┆ 1.584963  │\n",
+       "│ 0.static.w ┆ legit ┆ [\"0\",      ┆ 4          ┆ … ┆ 0.125     ┆ 3.32782   ┆ 2.75      ┆ 1.584963  │\n",
        "│ ix.com     ┆       ┆ \"static\",  ┆            ┆   ┆           ┆           ┆           ┆           │\n",
        "│            ┆       ┆ … \"com\"]   ┆            ┆   ┆           ┆           ┆           ┆           │\n",
-       "│ a2sportsgu ┆ legit ┆ [\"a2sports ┆ 3          ┆ … ┆ 0         ┆ 3.689892  ┆ 3.277613  ┆ 2.663533  │\n",
+       "│ a2sportsgu ┆ legit ┆ [\"a2sports ┆ 3          ┆ … ┆ 0.0       ┆ 3.689892  ┆ 3.277613  ┆ 2.663533  │\n",
        "│ y.googlepa ┆       ┆ guy\", \"goo ┆            ┆   ┆           ┆           ┆           ┆           │\n",
        "│ ges.com    ┆       ┆ glepages\", ┆            ┆   ┆           ┆           ┆           ┆           │\n",
        "│            ┆       ┆ \"…         ┆            ┆   ┆           ┆           ┆           ┆           │\n",
-       "│ a2zexperts ┆ legit ┆ [\"a2zexper ┆ 3          ┆ … ┆ 0         ┆ 3.719295  ┆ 3.121928  ┆ 2.663533  │\n",
+       "│ a2zexperts ┆ legit ┆ [\"a2zexper ┆ 3          ┆ … ┆ 0.0       ┆ 3.719295  ┆ 3.121928  ┆ 2.663533  │\n",
        "│ .googlepag ┆       ┆ ts\", \"goog ┆            ┆   ┆           ┆           ┆           ┆           │\n",
        "│ es.com     ┆       ┆ lepages\",  ┆            ┆   ┆           ┆           ┆           ┆           │\n",
        "│            ┆       ┆ \"c…        ┆            ┆   ┆           ┆           ┆           ┆           │\n",
        "│ …          ┆ …     ┆ …          ┆ …          ┆ … ┆ …         ┆ …         ┆ …         ┆ …         │\n",
-       "│ meride.tv  ┆ legit ┆ [\"meride\", ┆ 2          ┆ … ┆ 0         ┆ 2.947703  ┆ 0.0       ┆ 2.251629  │\n",
+       "│ meride.tv  ┆ legit ┆ [\"meride\", ┆ 2          ┆ … ┆ 0.0       ┆ 2.947703  ┆ 0.0       ┆ 2.251629  │\n",
        "│            ┆       ┆ \"tv\"]      ┆            ┆   ┆           ┆           ┆           ┆           │\n",
-       "│ sanalpazar ┆ legit ┆ [\"sanalpaz ┆ 2          ┆ … ┆ 0         ┆ 3.235926  ┆ 0.0       ┆ 2.521928  │\n",
+       "│ sanalpazar ┆ legit ┆ [\"sanalpaz ┆ 2          ┆ … ┆ 0.0       ┆ 3.235926  ┆ 0.0       ┆ 2.521928  │\n",
        "│ .com       ┆       ┆ ar\",       ┆            ┆   ┆           ┆           ┆           ┆           │\n",
        "│            ┆       ┆ \"com\"]     ┆            ┆   ┆           ┆           ┆           ┆           │\n",
-       "│ continular ┆ legit ┆ [\"continul ┆ 2          ┆ … ┆ 0         ┆ 3.378783  ┆ 0.0       ┆ 3.121928  │\n",
+       "│ continular ┆ legit ┆ [\"continul ┆ 2          ┆ … ┆ 0.0       ┆ 3.378783  ┆ 0.0       ┆ 3.121928  │\n",
        "│ .com       ┆       ┆ ar\",       ┆            ┆   ┆           ┆           ┆           ┆           │\n",
        "│            ┆       ┆ \"com\"]     ┆            ┆   ┆           ┆           ┆           ┆           │\n",
-       "│ ilsemedia. ┆ legit ┆ [\"ilsemedi ┆ 2          ┆ … ┆ 0         ┆ 3.084963  ┆ 0.0       ┆ 2.725481  │\n",
+       "│ ilsemedia. ┆ legit ┆ [\"ilsemedi ┆ 2          ┆ … ┆ 0.0       ┆ 3.084963  ┆ 0.0       ┆ 2.725481  │\n",
        "│ nl         ┆       ┆ a\", \"nl\"]  ┆            ┆   ┆           ┆           ┆           ┆           │\n",
        "└────────────┴───────┴────────────┴────────────┴───┴───────────┴───────────┴───────────┴───────────┘"
       ]
      },
-     "execution_count": 72,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -535,7 +521,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -551,7 +537,7 @@
        "<BarContainer object of 2 artists>"
       ]
      },
-     "execution_count": 90,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -568,7 +554,6 @@
    ],
    "source": [
     "print(f\"Total number of classes {len(df_dgta_processed['class'].value_counts())}\")\n",
-    "# plt.barh(y=df_dgta.group_by(\"class\").count()[\"class\"], width=df_dgta.group_by(\"class\").count()[\"count\"], align='edge', height=1)\n",
     "\n",
     "df_dgta_processed = df_dgta_processed.with_columns(\n",
     "    [\n",
@@ -581,25 +566,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 102,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "shape: (2, 2)\n",
-      "┌───────┬─────────┐\n",
-      "│ class ┆ counts  │\n",
-      "│ ---   ┆ ---     │\n",
-      "│ u32   ┆ u32     │\n",
-      "╞═══════╪═════════╡\n",
-      "│ 1     ┆ 1080697 │\n",
-      "│ 2     ┆ 576537  │\n",
-      "└───────┴─────────┘\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "df_dataset = df_dgta_processed.drop(['query', 'labels', 'thirdleveldomain', 'secondleveldomain', 'fqdn'])\n",
     "df_dataset = df_dataset.with_columns(pl.col(\"class\").rank(\"dense\").alias(\"class\"))\n",
@@ -611,22 +580,12 @@
     "            df_dataset.select(\"class\"), \n",
     "            train_size=0.8, \n",
     "            random_state=42\n",
-    "        )\n",
-    "\n",
-    "# target_encoder = TargetEncoder(smoothing=100, features_to_encode=[\"class\"])\n",
-    "# print(X_train)\n",
-    "# x_train = target_encoder.fit_transform(x=X_train, y=Y_train)\n",
-    "# print(x_train)\n",
-    "\n",
-    "# df_test['class'] = pl.Categorical(df_test['class'])\n",
-    "# df_test['class'] = df_test['class'].cat.codes\n",
-    "\n",
-    "# df_without_label = df_test.drop(['class'])"
+    "        )"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 122,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -655,7 +614,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 123,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -680,7 +639,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 131,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -702,7 +661,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 132,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -731,7 +690,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 114,
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['randomforest.pkl']"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import joblib\n",
+    "joblib.dump(clf, \"randomforest.pkl\") "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -753,7 +733,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 133,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -762,13 +742,13 @@
        "<Axes3D: title={'center': 'PCA'}, xlabel='Entropy', ylabel='FQDN_full_count', zlabel='Class'>"
       ]
      },
-     "execution_count": 133,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
diff --git a/heidgaf/cli.py b/heidgaf/cli.py
index 41023f1..da2d25e 100644
--- a/heidgaf/cli.py
+++ b/heidgaf/cli.py
@@ -5,7 +5,8 @@
 
 from heidgaf import CONTEXT_SETTINGS
 from heidgaf.main import DNSAnalyzerPipeline
-from heidgaf.train import DNSAnalyzerTraining, ModelType
+from heidgaf.models.lr import LogisticRegression
+from heidgaf.train import DNSAnalyzerTraining
 from heidgaf.version import __version__
 
 try:
@@ -45,7 +46,7 @@ def training_model():
 
 @training_model.command(name="start")
 def training_start():
-    trainer = DNSAnalyzerTraining(model=ModelType.LOGISTIC_REGRESSION)
+    trainer = DNSAnalyzerTraining(model=LogisticRegression(input_dim=9, output_dim=1, epochs=5000))
     trainer.train()
 
 @cli.group(name="process", context_settings={"show_default": True})
diff --git a/heidgaf/dataset/__init__.py b/heidgaf/dataset/__init__.py
index 1bb3c2b..62b9f85 100644
--- a/heidgaf/dataset/__init__.py
+++ b/heidgaf/dataset/__init__.py
@@ -1,33 +1,109 @@
-import string
-from dataclasses import dataclass, field
-from typing import Callable, Tuple
+import logging
+from dataclasses import dataclass
+from typing import Any, Callable, List
 
 import polars as pl
-import torch
+import sklearn.model_selection
 from torch.utils.data.dataset import Dataset
 
 
+def cast_cic(data_path: List[str]):
+    dataframes = []
+    for data in data_path:
+        y = data.split("_")[-1].split(".")[0]
+        df = pl.read_csv(data, has_header=False)
+        df = df.with_columns(
+            [
+                pl.lit(y).alias("class")
+            ]
+        )
+        df = df.rename(
+            {
+                "column_1": "query"
+            }
+        )
+        dataframes.append(df)
+    return pl.concat(dataframes)
+
+def cast_dgta(data_path: str) -> pl.DataFrame:
+    def __custom_decode(data):
+        retL=[None] * len(data)
+        for i, datum in enumerate(data):
+            retL[i]=str(datum.decode('latin-1').encode('utf-8').decode('utf-8'))
+
+        return(pl.Series(retL))
+    
+    df = pl.read_parquet(data_path)
+    df = df.rename({"domain": "query"})
+    # Drop unnecessary column
+    df = df.drop("__index_level_0__")
+    df = df.with_columns(
+        [
+            pl.col('query').map(__custom_decode)
+        ]
+    )
+    return df
+
 @dataclass
 class Dataset:
-    train_path: str
-    val_path: str
-    test_path: str
-    cast_dataset: Callable
-    binary: bool = field(default=True)
+    def __init__(self, data_path: Any, cast_dataset: Callable = None) -> None:
+        if cast_dataset != None:
+            self.data = cast_dataset(data_path)
+        else:
+            self.data = pl.read_csv(data_path)
+            
+        logging.info(self.data)
+
+        self.X_train, self.X_val, self.X_test, self.Y_train, self.Y_val, self.Y_test = self.__train_test_val_split()
+
+    def __len__(self):
+        return len(self.data)
+    
+    def __train_test_val_split(self, train_frac=0.8, random_state=None):
+        X_train, X_tmp, Y_train, Y_tmp = sklearn.model_selection.train_test_split(
+            self.data.drop("class"), 
+            self.data.select("class"), 
+            train_size=train_frac, 
+            random_state=random_state
+        )
+
+        X_val, X_test, Y_val, Y_test = sklearn.model_selection.train_test_split(
+            X_tmp,
+            Y_tmp,
+            train_size=0.5,
+            random_state=random_state
+        )
+
+        return X_train, X_val, X_test, Y_train, Y_val, Y_test
 
     @property
     def train(self):
         return {
-            "train_path": self.train_path,
-            "val_path": self.val_path,
-            "cast_dataset": self.cast_dataset,
-            "binary": self.binary,
+            "X": self.X_train,
+            "Y": self.Y_train
         }
 
     @property
     def test(self):
         return {
-            "test_path": self.test_path,
-            "cast_dataset": self.cast_dataset,
-            "binary": self.binary,
+            "X": self.X_test,
+            "Y": self.Y_test
         }
+
+    @property
+    def val(self):
+        return {
+            "X": self.X_val,
+            "Y": self.Y_val
+        }
+
+dgta_dataset = Dataset(
+    data_path="/home/smachmeier/projects/heiDGA/data/dgta/dgta-benchmark.parquet",
+    cast_dataset=cast_dgta
+)
+
+cic_dataset = Dataset(
+    data_path=["/home/smachmeier/projects/heiDGA/example/CICBellDNS2021_CSV_benign.csv"],
+    cast_dataset=cast_cic
+)
+
diff --git a/heidgaf/dataset/cic.py b/heidgaf/dataset/cic.py
deleted file mode 100644
index cfad3ce..0000000
--- a/heidgaf/dataset/cic.py
+++ /dev/null
@@ -1,10 +0,0 @@
-
-class CIC_DNS():
-    def __init__(self) -> None:
-        pass
-
-    def __len__(self):
-        pass
-
-    def __getitem__(self, index) -> any:
-        pass
\ No newline at end of file
diff --git a/heidgaf/dataset/dgta.py b/heidgaf/dataset/dgta.py
deleted file mode 100644
index 110544d..0000000
--- a/heidgaf/dataset/dgta.py
+++ /dev/null
@@ -1,13 +0,0 @@
-
-from torch.utils.data.dataset import Dataset
-
-
-class DGTA(Dataset):
-    def __init__(self) -> None:
-        pass
-
-    def __len__(self):
-        pass
-
-    def __getitem__(self, index) -> any:
-        pass
diff --git a/heidgaf/dataset/heicloud.py b/heidgaf/dataset/heicloud.py
deleted file mode 100644
index 48d122b..0000000
--- a/heidgaf/dataset/heicloud.py
+++ /dev/null
@@ -1,14 +0,0 @@
-
-#2023-10-15T00:00:00.050782194Z NOERROR 129.206.5.241 129.206.100.126 heigitsv02.heigit.org AAAA - 123b
-
-from torch.utils.data.dataset import Dataset
-
-class HeiCLOUD(Dataset):
-    def __init__(self, logs_path: str) -> None:
-        pass
-
-    def __len__(self):
-        pass
-
-    def __getitem__(self, index) -> any:
-        pass
diff --git a/heidgaf/dataset/majestic.py b/heidgaf/dataset/majestic.py
index 788ee6d..eff2a5e 100644
--- a/heidgaf/dataset/majestic.py
+++ b/heidgaf/dataset/majestic.py
@@ -1,4 +1,5 @@
 import os
+import string
 
 import polars as pl
 from torch.utils.data.dataset import Dataset
@@ -7,12 +8,14 @@
 
 
 class MajesticMillionDataset(Dataset):
-    def __init__(self, csv_file, redis_cache: DataFrameRedisCache) -> None:
+    def __init__(self, csv_file: str = "/home/smachmeier/projects/heiDGA/data/majestic_million/majestic_million.csv") -> None:
         self.data = pl.read_csv(csv_file)
-        self.redis_cache = redis_cache
     
-    def __len__(self):
+    def __len__(self) -> int:
         return len(self.data)
 
-    def __getitem__(self, idx: int) -> any:
+    def __getitem__(self, idx: int) -> pl.DataFrame:
         return self.data[idx, 0]
+    
+    def __call__(self, name: str, key: str) -> pl.DataFrame:
+        return self.data.filter(pl.col(key) == name)
\ No newline at end of file
diff --git a/heidgaf/models/__init__.py b/heidgaf/models/__init__.py
index a89b44d..2ed2d04 100644
--- a/heidgaf/models/__init__.py
+++ b/heidgaf/models/__init__.py
@@ -18,13 +18,13 @@ def __init__(self,
         
     def fit(self, x_train, y_train):
         x_train = self.preprocessor.transform(x=x_train)
-        x_train = self.target_encoder.fit_transform(x=x_train, y=y_train)
-        x_train = self.mean_imputer.fit_transform(x=x_train)
+        # x_train = self.target_encoder.fit_transform(x=x_train, y=y_train)
+        # x_train = self.mean_imputer.fit_transform(x=x_train)
         self.clf.fit(x=x_train.to_numpy(), y=y_train)
         
     def predict(self, x):
         x = self.preprocessor.transform(x=x)
-        x = self.target_encoder.transform(x=x)
-        x = self.mean_imputer.transform(x=x)
+        # x = self.target_encoder.transform(x=x)
+        # x = self.mean_imputer.transform(x=x)
         return self.clf.predict(x=x.to_numpy())
 
diff --git a/heidgaf/post/feature.py b/heidgaf/post/feature.py
index d3c7e8e..421a969 100644
--- a/heidgaf/post/feature.py
+++ b/heidgaf/post/feature.py
@@ -16,7 +16,7 @@ def __init__(self, features_to_drop: List):
         """
         self.features_to_drop = features_to_drop
         # TODO Set majestic million score
-        # self.majesticmillion = MajesticMillionDataset()
+        self.majesticmillion = MajesticMillionDataset()
 
     def transform(self, x: pl.DataFrame) -> pl.DataFrame:
         """Transform our dataset with new features
diff --git a/heidgaf/pre/__init__.py b/heidgaf/pre/__init__.py
index ce552df..e97f9c2 100644
--- a/heidgaf/pre/__init__.py
+++ b/heidgaf/pre/__init__.py
@@ -1,4 +1,5 @@
 from abc import ABCMeta, abstractmethod
+from typing import Any
 
 import polars as pl
 
@@ -13,5 +14,9 @@ def __init__(self) -> None:
     @classmethod
     @abstractmethod
     def run(self, data: pl.DataFrame, redis_cache: DataFrameRedisCache):
-        # Filter data with no errors
-        df = data.filter(pl.col("query") != "|").filter(pl.col("return_code") != ReturnCode.NOERROR.value).filter(pl.col("query").str.split(".").list.len() != 1)
\ No newline at end of file
+        pass
+    
+    @classmethod
+    @abstractmethod
+    def set_warning(self, data: Any, redis_cache: DataFrameRedisCache):
+        pass
\ No newline at end of file
diff --git a/heidgaf/pre/domain_analyzer.py b/heidgaf/pre/domain_analyzer.py
index c59ad8d..e295d4b 100644
--- a/heidgaf/pre/domain_analyzer.py
+++ b/heidgaf/pre/domain_analyzer.py
@@ -15,4 +15,4 @@ def run(self, data: pl.DataFrame, redis_cache: DataFrameRedisCache):
         # Filter data with no errors
         df = data.filter(pl.col("query") != "|").filter(pl.col("return_code") != ReturnCode.NOERROR.value).filter(pl.col("query").str.split(".").list.len() != 1)
         
-        
+    
\ No newline at end of file
diff --git a/heidgaf/pre/ip_analyzer.py b/heidgaf/pre/ip_analyzer.py
index 794ae4d..fbfe781 100644
--- a/heidgaf/pre/ip_analyzer.py
+++ b/heidgaf/pre/ip_analyzer.py
@@ -28,12 +28,16 @@ def run(self, data: pl.DataFrame, redis_cache: DataFrameRedisCache):
         self.__update_count(df, "SLD", self.KEY_SLD, redis_cache)
         
         # TODO: Process frequency and return values
+        
         # TODO: Check if IP has more than threshold error request -> if yes, check distribution.
         
         
     def __update_count(df: pl.DataFrame, id: str, key: str, redis_cache: DataFrameRedisCache) -> None:
         frequency = df.group_by(id).count()
         
+        # TODO Dividing highest and lowest timestamp
+        df.max(pl.col("timestamp")) - df.min(pl.col("timestamp"))
+        
         # Check if dns_server_frequency exists in redis cache
         if  key in redis_cache:
             frequency = pl.concat([redis_cache[key], frequency]).groupby(id).agg(pl.sum('count'))
diff --git a/heidgaf/train.py b/heidgaf/train.py
index e0bf87b..62623ca 100644
--- a/heidgaf/train.py
+++ b/heidgaf/train.py
@@ -5,23 +5,16 @@
 import torch
 from fe_polars.encoding.target_encoding import TargetEncoder
 from fe_polars.imputing.base_imputing import Imputer
-from sklearn.metrics import classification_report
-from sklearn.model_selection import train_test_split
-from torch.utils.data import DataLoader
 
+from heidgaf import dataset
 from heidgaf.cache import DataFrameRedisCache
-from heidgaf.dataset.dgta import DGTA
-from heidgaf.dataset.majestic import MajesticMillionDataset
 from heidgaf.models import Pipeline
 from heidgaf.models.lr import LogisticRegression
 from heidgaf.post.feature import Preprocessor
 
 
-class ModelType(Enum):
-    LOGISTIC_REGRESSION = LogisticRegression
-
 class DNSAnalyzerTraining:
-    def __init__(self, model: ModelType, redis_host="localhost", redis_port=6379, redis_db=0, redis_max_connections=20) -> None:
+    def __init__(self, model: torch.nn.Module, redis_host="localhost", redis_port=6379, redis_db=0, redis_max_connections=20) -> None:
         self.redis_cache = DataFrameRedisCache(redis_host, redis_port, redis_db, redis_max_connections)
         
     def train(self, seed=42):
@@ -43,32 +36,21 @@ def train(self, seed=42):
             logging.info(f"\tAllocated: {round(torch.cuda.memory_allocated(0)/1024**3,1)} GB")
             logging.info(f"\tCached:    {round(torch.cuda.memory_reserved(0)/1024**3,1)} GB")
         
-        # TODO Load data set
         logging.info(f'Loading data sets')
-        majestic_dataset = MajesticMillionDataset(self.redis_cache)
-        dgta_dataset = DGTA()
-        
-        # TODO Handle Data loader
-        train_dataloader = DataLoader(majestic_dataset, batch_size=64, shuffle=True)
-        test_dataloader = DataLoader(majestic_dataset, batch_size=64, shuffle=True)
-        # train_features, train_labels = next(iter(train_dataloader))
         
         # Training model
         model_pipeline = Pipeline(
             preprocessor=Preprocessor(
-                features_to_drop=[]),
+                features_to_drop=["query"]),
             mean_imputer=Imputer(
-                features_to_impute=["", ""], strategy="mean"),
+                features_to_impute=["FQDN_full_count"], strategy="mean"),
             target_encoder=TargetEncoder(
                 smoothing=100,
-                features_to_encode=["", "", "", "", "",""]),
+                features_to_encode=[]),
             clf=LogisticRegression(input_dim=9, output_dim=1, epochs=5000)
         )
-        
-        # train, target, test = data_loader()
-        # x_train, x_val, y_train, y_val = train_test_split(train, target, test_size=0.33, random_state=seed)
-        
-        # model_pipeline.fit(x_train=x_train, y_train=y_train)
+
+        model_pipeline.fit(x_train=dataset.dgta_dataset.X_train, y_train=dataset.dgta_dataset.Y_train)
         
 
     
\ No newline at end of file
diff --git a/pyproject.toml b/pyproject.toml
index a69cf3f..08f8ada 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -36,8 +36,12 @@ classifiers = [
 ]
 dynamic = ["dependencies"]
 
-[tool.setuptools.dynamic]
-dependencies = {file = ["requirements.txt"]}
+[project.scripts]
+heidgaf = "heidgaf.cli:cli"
+
+[project.urls]
+"Homepage" = "https://github.com/stefanDeveloper/heiDGAF"
+"Bug Tracker" = "https://github.com/stefanDeveloper/heiDGAF/issues"
 
 [tool.autopep8]
 max_line_length = 180
@@ -45,22 +49,25 @@ in-place = true
 recursive = true
 aggressive = 3
 
-[project.scripts]
-heidgaf = "heidgaf.cli:cli"
+[tool.setuptools]
+include-package-data = true
 
-[project.urls]
-"Homepage" = "https://github.com/stefanDeveloper/heiDGAF"
-"Bug Tracker" = "https://github.com/stefanDeveloper/heiDGAF/issues"
+[tool.setuptools.dynamic]
+dependencies = {file = ["requirements.txt"]}
 
 [tool.setuptools.packages.find]
 include = [
     "heidgaf*",
+    "data"
 ]
 exclude = [
     "test*",
     "assets*",
 ]
 
+[tool.setuptools.package-data]
+"heidgaf.data" = ["*.csv"]
+
 [tool.poetry]
 name = "heiDGAF"
 version = "0.0.1"