Naive Bayes

The Algorithms

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn import datasets\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "iris = datasets.load_iris()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = pd.DataFrame(iris.data)\n",
    "df.columns = [\"sl\", \"sw\", 'pl', 'pw']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def abc(k, *val):\n",
    "    if k < val[0]:\n",
    "        return 0\n",
    "    else:\n",
    "        return 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "135    1\n",
       "136    1\n",
       "137    1\n",
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       "140    1\n",
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       "144    1\n",
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       "146    1\n",
       "147    1\n",
       "148    1\n",
       "149    1\n",
       "Name: sl, dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.sl.apply(abc, args=(5,))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def label(val, *boundaries):\n",
    "    if (val < boundaries[0]):\n",
    "        return 'a'\n",
    "    elif (val < boundaries[1]):\n",
    "        return 'b'\n",
    "    elif (val < boundaries[2]):\n",
    "        return 'c'\n",
    "    else:\n",
    "        return 'd'\n",
    "\n",
    "def toLabel(df, old_feature_name):\n",
    "    second = df[old_feature_name].mean()\n",
    "    minimum = df[old_feature_name].min()\n",
    "    first = (minimum + second)/2\n",
    "    maximum = df[old_feature_name].max()\n",
    "    third = (maximum + second)/2\n",
    "    return df[old_feature_name].apply(label, args= (first, second, third))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sl</th>\n",
       "      <th>sw</th>\n",
       "      <th>pl</th>\n",
       "      <th>pw</th>\n",
       "      <th>sl_labeled</th>\n",
       "      <th>sw_labeled</th>\n",
       "      <th>pl_labeled</th>\n",
       "      <th>pw_labeled</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>a</td>\n",
       "      <td>b</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>a</td>\n",
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       "      <td>a</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>a</td>\n",
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       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>a</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.4</td>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4.6</td>\n",
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       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
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       "      <td>a</td>\n",
       "      <td>a</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.5</td>\n",
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       "      <td>a</td>\n",
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       "      <td>a</td>\n",
       "      <td>a</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>a</td>\n",
       "      <td>b</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.1</td>\n",
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       "      <td>a</td>\n",
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       "      <td>a</td>\n",
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       "      <th>12</th>\n",
       "      <td>4.8</td>\n",
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       "      <td>1.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>a</td>\n",
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       "      <td>a</td>\n",
       "      <td>a</td>\n",
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       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.1</td>\n",
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       "      <td>a</td>\n",
       "      <td>a</td>\n",
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       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>5.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.2</td>\n",
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       "      <td>d</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5.7</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.4</td>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>5.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.3</td>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.3</td>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.2</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
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       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
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       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>a</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.5</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.2</td>\n",
       "      <td>a</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>a</td>\n",
       "      <td>b</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.4</td>\n",
       "      <td>a</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>5.2</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>5.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>a</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.3</td>\n",
       "      <td>d</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>5.6</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.9</td>\n",
       "      <td>2.0</td>\n",
       "      <td>b</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.0</td>\n",
       "      <td>d</td>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.7</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.8</td>\n",
       "      <td>c</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.1</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>d</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>c</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>6.2</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>c</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>6.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.8</td>\n",
       "      <td>c</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.1</td>\n",
       "      <td>c</td>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>1.6</td>\n",
       "      <td>d</td>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>c</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>7.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.1</td>\n",
       "      <td>1.9</td>\n",
       "      <td>d</td>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>7.9</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.2</td>\n",
       "      <td>c</td>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>c</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>6.1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>c</td>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>c</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>d</td>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>6.3</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.5</td>\n",
       "      <td>1.8</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>c</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>c</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.1</td>\n",
       "      <td>d</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>d</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.9</td>\n",
       "      <td>b</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>6.8</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2.3</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.5</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>c</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>c</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>c</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      sl   sw   pl   pw sl_labeled sw_labeled pl_labeled pw_labeled\n",
       "0    5.1  3.5  1.4  0.2          b          c          a          a\n",
       "1    4.9  3.0  1.4  0.2          a          b          a          a\n",
       "2    4.7  3.2  1.3  0.2          a          c          a          a\n",
       "3    4.6  3.1  1.5  0.2          a          c          a          a\n",
       "4    5.0  3.6  1.4  0.2          a          c          a          a\n",
       "5    5.4  3.9  1.7  0.4          b          d          a          a\n",
       "6    4.6  3.4  1.4  0.3          a          c          a          a\n",
       "7    5.0  3.4  1.5  0.2          a          c          a          a\n",
       "8    4.4  2.9  1.4  0.2          a          b          a          a\n",
       "9    4.9  3.1  1.5  0.1          a          c          a          a\n",
       "10   5.4  3.7  1.5  0.2          b          c          a          a\n",
       "11   4.8  3.4  1.6  0.2          a          c          a          a\n",
       "12   4.8  3.0  1.4  0.1          a          b          a          a\n",
       "13   4.3  3.0  1.1  0.1          a          b          a          a\n",
       "14   5.8  4.0  1.2  0.2          b          d          a          a\n",
       "15   5.7  4.4  1.5  0.4          b          d          a          a\n",
       "16   5.4  3.9  1.3  0.4          b          d          a          a\n",
       "17   5.1  3.5  1.4  0.3          b          c          a          a\n",
       "18   5.7  3.8  1.7  0.3          b          d          a          a\n",
       "19   5.1  3.8  1.5  0.3          b          d          a          a\n",
       "20   5.4  3.4  1.7  0.2          b          c          a          a\n",
       "21   5.1  3.7  1.5  0.4          b          c          a          a\n",
       "22   4.6  3.6  1.0  0.2          a          c          a          a\n",
       "23   5.1  3.3  1.7  0.5          b          c          a          a\n",
       "24   4.8  3.4  1.9  0.2          a          c          a          a\n",
       "25   5.0  3.0  1.6  0.2          a          b          a          a\n",
       "26   5.0  3.4  1.6  0.4          a          c          a          a\n",
       "27   5.2  3.5  1.5  0.2          b          c          a          a\n",
       "28   5.2  3.4  1.4  0.2          b          c          a          a\n",
       "29   4.7  3.2  1.6  0.2          a          c          a          a\n",
       "..   ...  ...  ...  ...        ...        ...        ...        ...\n",
       "120  6.9  3.2  5.7  2.3          d          c          d          d\n",
       "121  5.6  2.8  4.9  2.0          b          b          c          d\n",
       "122  7.7  2.8  6.7  2.0          d          b          d          d\n",
       "123  6.3  2.7  4.9  1.8          c          b          c          c\n",
       "124  6.7  3.3  5.7  2.1          c          c          d          d\n",
       "125  7.2  3.2  6.0  1.8          d          c          d          c\n",
       "126  6.2  2.8  4.8  1.8          c          b          c          c\n",
       "127  6.1  3.0  4.9  1.8          c          b          c          c\n",
       "128  6.4  2.8  5.6  2.1          c          b          d          d\n",
       "129  7.2  3.0  5.8  1.6          d          b          d          c\n",
       "130  7.4  2.8  6.1  1.9          d          b          d          d\n",
       "131  7.9  3.8  6.4  2.0          d          d          d          d\n",
       "132  6.4  2.8  5.6  2.2          c          b          d          d\n",
       "133  6.3  2.8  5.1  1.5          c          b          c          c\n",
       "134  6.1  2.6  5.6  1.4          c          b          d          c\n",
       "135  7.7  3.0  6.1  2.3          d          b          d          d\n",
       "136  6.3  3.4  5.6  2.4          c          c          d          d\n",
       "137  6.4  3.1  5.5  1.8          c          c          d          c\n",
       "138  6.0  3.0  4.8  1.8          c          b          c          c\n",
       "139  6.9  3.1  5.4  2.1          d          c          d          d\n",
       "140  6.7  3.1  5.6  2.4          c          c          d          d\n",
       "141  6.9  3.1  5.1  2.3          d          c          c          d\n",
       "142  5.8  2.7  5.1  1.9          b          b          c          d\n",
       "143  6.8  3.2  5.9  2.3          c          c          d          d\n",
       "144  6.7  3.3  5.7  2.5          c          c          d          d\n",
       "145  6.7  3.0  5.2  2.3          c          b          c          d\n",
       "146  6.3  2.5  5.0  1.9          c          a          c          d\n",
       "147  6.5  3.0  5.2  2.0          c          b          c          d\n",
       "148  6.2  3.4  5.4  2.3          c          c          d          d\n",
       "149  5.9  3.0  5.1  1.8          c          b          c          c\n",
       "\n",
       "[150 rows x 8 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['sl_labeled'] = toLabel(df, 'sl')\n",
    "df['sw_labeled'] = toLabel(df, 'sw')\n",
    "df['pl_labeled'] = toLabel(df, 'pl')\n",
    "df['pw_labeled'] = toLabel(df, 'pw')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(['sl', 'sw', 'pl', 'pw'], axis = 1, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'a', 'b', 'c', 'd'}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "set(df['sl_labeled'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"output\"] = iris.target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sl_labeled</th>\n",
       "      <th>sw_labeled</th>\n",
       "      <th>pl_labeled</th>\n",
       "      <th>pw_labeled</th>\n",
       "      <th>output</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>a</td>\n",
       "      <td>b</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>a</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>a</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>a</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>a</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>a</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>a</td>\n",
       "      <td>b</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>a</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>a</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>a</td>\n",
       "      <td>b</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>a</td>\n",
       "      <td>b</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>a</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>a</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>a</td>\n",
       "      <td>b</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>a</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>a</td>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>a</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>d</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>b</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>d</td>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>c</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>d</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>c</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>c</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>c</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>c</td>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>d</td>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>c</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>d</td>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>c</td>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>c</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>c</td>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>c</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>d</td>\n",
       "      <td>b</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>c</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>c</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>d</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>d</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>b</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>c</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>c</td>\n",
       "      <td>a</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>c</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>d</td>\n",
       "      <td>d</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>c</td>\n",
       "      <td>b</td>\n",
       "      <td>c</td>\n",
       "      <td>c</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    sl_labeled sw_labeled pl_labeled pw_labeled  output\n",
       "0            b          c          a          a       0\n",
       "1            a          b          a          a       0\n",
       "2            a          c          a          a       0\n",
       "3            a          c          a          a       0\n",
       "4            a          c          a          a       0\n",
       "5            b          d          a          a       0\n",
       "6            a          c          a          a       0\n",
       "7            a          c          a          a       0\n",
       "8            a          b          a          a       0\n",
       "9            a          c          a          a       0\n",
       "10           b          c          a          a       0\n",
       "11           a          c          a          a       0\n",
       "12           a          b          a          a       0\n",
       "13           a          b          a          a       0\n",
       "14           b          d          a          a       0\n",
       "15           b          d          a          a       0\n",
       "16           b          d          a          a       0\n",
       "17           b          c          a          a       0\n",
       "18           b          d          a          a       0\n",
       "19           b          d          a          a       0\n",
       "20           b          c          a          a       0\n",
       "21           b          c          a          a       0\n",
       "22           a          c          a          a       0\n",
       "23           b          c          a          a       0\n",
       "24           a          c          a          a       0\n",
       "25           a          b          a          a       0\n",
       "26           a          c          a          a       0\n",
       "27           b          c          a          a       0\n",
       "28           b          c          a          a       0\n",
       "29           a          c          a          a       0\n",
       "..         ...        ...        ...        ...     ...\n",
       "120          d          c          d          d       2\n",
       "121          b          b          c          d       2\n",
       "122          d          b          d          d       2\n",
       "123          c          b          c          c       2\n",
       "124          c          c          d          d       2\n",
       "125          d          c          d          c       2\n",
       "126          c          b          c          c       2\n",
       "127          c          b          c          c       2\n",
       "128          c          b          d          d       2\n",
       "129          d          b          d          c       2\n",
       "130          d          b          d          d       2\n",
       "131          d          d          d          d       2\n",
       "132          c          b          d          d       2\n",
       "133          c          b          c          c       2\n",
       "134          c          b          d          c       2\n",
       "135          d          b          d          d       2\n",
       "136          c          c          d          d       2\n",
       "137          c          c          d          c       2\n",
       "138          c          b          c          c       2\n",
       "139          d          c          d          d       2\n",
       "140          c          c          d          d       2\n",
       "141          d          c          c          d       2\n",
       "142          b          b          c          d       2\n",
       "143          c          c          d          d       2\n",
       "144          c          c          d          d       2\n",
       "145          c          b          c          d       2\n",
       "146          c          a          c          d       2\n",
       "147          c          b          c          d       2\n",
       "148          c          c          d          d       2\n",
       "149          c          b          c          c       2\n",
       "\n",
       "[150 rows x 5 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def fit(data):\n",
    "    output_name = data.columns[-1]\n",
    "    features = data.columns[0:-1]\n",
    "    counts = {}\n",
    "    possible_outputs = set(data[output_name])\n",
    "    for output in possible_outputs:\n",
    "        counts[output] = {}\n",
    "        smallData = data[data[output_name] == output]\n",
    "        counts[output][\"total_count\"] = len(smallData)\n",
    "        for f in features:\n",
    "            counts[output][f] = {}\n",
    "            possible_values = set(smallData[f])\n",
    "            for value in possible_values:\n",
    "                val_count = len(smallData[smallData[f] == value])\n",
    "                counts[output][f][value] = val_count\n",
    "    return counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: {'pl_labeled': {'a': 50},\n",
       "  'pw_labeled': {'a': 50},\n",
       "  'sl_labeled': {'a': 28, 'b': 22},\n",
       "  'sw_labeled': {'a': 1, 'b': 7, 'c': 32, 'd': 10},\n",
       "  'total_count': 50},\n",
       " 1: {'pl_labeled': {'b': 7, 'c': 43},\n",
       "  'pw_labeled': {'b': 10, 'c': 40},\n",
       "  'sl_labeled': {'a': 3, 'b': 21, 'c': 24, 'd': 2},\n",
       "  'sw_labeled': {'a': 13, 'b': 29, 'c': 8},\n",
       "  'total_count': 50},\n",
       " 2: {'pl_labeled': {'c': 20, 'd': 30},\n",
       "  'pw_labeled': {'c': 16, 'd': 34},\n",
       "  'sl_labeled': {'a': 1, 'b': 5, 'c': 29, 'd': 15},\n",
       "  'sw_labeled': {'a': 5, 'b': 28, 'c': 15, 'd': 2},\n",
       "  'total_count': 50}}"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fit(df)"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [default]",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}

View on GitHub

Try this Code

About this Algorithm

from sklearn import datasets
import pandas as pd

iris = datasets.load_iris()

df = pd.DataFrame(iris.data)
df.columns = ["sl", "sw", 'pl', 'pw']

def abc(k, *val):
    if k &lt; val[0]:
        return 0
    else:
        return 1

df.sl.apply(abc, args=(5,))

0      1
1      0
2      0
3      0
4      1
5      1
6      0
7      1
8      0
9      0
10     1
11     0
12     0
13     0
14     1
15     1
16     1
17     1
18     1
19     1
20     1
21     1
22     0
23     1
24     0
25     1
26     1
27     1
28     1
29     0
      ..
120    1
121    1
122    1
123    1
124    1
125    1
126    1
127    1
128    1
129    1
130    1
131    1
132    1
133    1
134    1
135    1
136    1
137    1
138    1
139    1
140    1
141    1
142    1
143    1
144    1
145    1
146    1
147    1
148    1
149    1
Name: sl, dtype: int64

def label(val, *boundaries):
    if (val &lt; boundaries[0]):
        return 'a'
    elif (val &lt; boundaries[1]):
        return 'b'
    elif (val &lt; boundaries[2]):
        return 'c'
    else:
        return 'd'

def toLabel(df, old_feature_name):
    second = df[old_feature_name].mean()
    minimum = df[old_feature_name].min()
    first = (minimum + second)/2
    maximum = df[old_feature_name].max()
    third = (maximum + second)/2
    return df[old_feature_name].apply(label, args= (first, second, third))

df['sl_labeled'] = toLabel(df, 'sl')
df['sw_labeled'] = toLabel(df, 'sw')
df['pl_labeled'] = toLabel(df, 'pl')
df['pw_labeled'] = toLabel(df, 'pw')
df

	sl	sw	pl	pw	sl_labeled	sw_labeled	pl_labeled	pw_labeled
0	5.1	3.5	1.4	0.2	b	c	a	a
1	4.9	3.0	1.4	0.2	a	b	a	a
2	4.7	3.2	1.3	0.2	a	c	a	a
3	4.6	3.1	1.5	0.2	a	c	a	a
4	5.0	3.6	1.4	0.2	a	c	a	a
5	5.4	3.9	1.7	0.4	b	d	a	a
6	4.6	3.4	1.4	0.3	a	c	a	a
7	5.0	3.4	1.5	0.2	a	c	a	a
8	4.4	2.9	1.4	0.2	a	b	a	a
9	4.9	3.1	1.5	0.1	a	c	a	a
10	5.4	3.7	1.5	0.2	b	c	a	a
11	4.8	3.4	1.6	0.2	a	c	a	a
12	4.8	3.0	1.4	0.1	a	b	a	a
13	4.3	3.0	1.1	0.1	a	b	a	a
14	5.8	4.0	1.2	0.2	b	d	a	a
15	5.7	4.4	1.5	0.4	b	d	a	a
16	5.4	3.9	1.3	0.4	b	d	a	a
17	5.1	3.5	1.4	0.3	b	c	a	a
18	5.7	3.8	1.7	0.3	b	d	a	a
19	5.1	3.8	1.5	0.3	b	d	a	a
20	5.4	3.4	1.7	0.2	b	c	a	a
21	5.1	3.7	1.5	0.4	b	c	a	a
22	4.6	3.6	1.0	0.2	a	c	a	a
23	5.1	3.3	1.7	0.5	b	c	a	a
24	4.8	3.4	1.9	0.2	a	c	a	a
25	5.0	3.0	1.6	0.2	a	b	a	a
26	5.0	3.4	1.6	0.4	a	c	a	a
27	5.2	3.5	1.5	0.2	b	c	a	a
28	5.2	3.4	1.4	0.2	b	c	a	a
29	4.7	3.2	1.6	0.2	a	c	a	a
...	...	...	...	...	...	...	...	...
120	6.9	3.2	5.7	2.3	d	c	d	d
121	5.6	2.8	4.9	2.0	b	b	c	d
122	7.7	2.8	6.7	2.0	d	b	d	d
123	6.3	2.7	4.9	1.8	c	b	c	c
124	6.7	3.3	5.7	2.1	c	c	d	d
125	7.2	3.2	6.0	1.8	d	c	d	c
126	6.2	2.8	4.8	1.8	c	b	c	c
127	6.1	3.0	4.9	1.8	c	b	c	c
128	6.4	2.8	5.6	2.1	c	b	d	d
129	7.2	3.0	5.8	1.6	d	b	d	c
130	7.4	2.8	6.1	1.9	d	b	d	d
131	7.9	3.8	6.4	2.0	d	d	d	d
132	6.4	2.8	5.6	2.2	c	b	d	d
133	6.3	2.8	5.1	1.5	c	b	c	c
134	6.1	2.6	5.6	1.4	c	b	d	c
135	7.7	3.0	6.1	2.3	d	b	d	d
136	6.3	3.4	5.6	2.4	c	c	d	d
137	6.4	3.1	5.5	1.8	c	c	d	c
138	6.0	3.0	4.8	1.8	c	b	c	c
139	6.9	3.1	5.4	2.1	d	c	d	d
140	6.7	3.1	5.6	2.4	c	c	d	d
141	6.9	3.1	5.1	2.3	d	c	c	d
142	5.8	2.7	5.1	1.9	b	b	c	d
143	6.8	3.2	5.9	2.3	c	c	d	d
144	6.7	3.3	5.7	2.5	c	c	d	d
145	6.7	3.0	5.2	2.3	c	b	c	d
146	6.3	2.5	5.0	1.9	c	a	c	d
147	6.5	3.0	5.2	2.0	c	b	c	d
148	6.2	3.4	5.4	2.3	c	c	d	d
149	5.9	3.0	5.1	1.8	c	b	c	c

150 rows × 8 columns

df.drop(['sl', 'sw', 'pl', 'pw'], axis = 1, inplace = True)

set(df['sl_labeled'])

{&#x27;a&#x27;, &#x27;b&#x27;, &#x27;c&#x27;, &#x27;d&#x27;}

df["output"] = iris.target

df

	sl_labeled	sw_labeled	pl_labeled	pw_labeled	output
0	b	c	a	a	0
1	a	b	a	a	0
2	a	c	a	a	0
3	a	c	a	a	0
4	a	c	a	a	0
5	b	d	a	a	0
6	a	c	a	a	0
7	a	c	a	a	0
8	a	b	a	a	0
9	a	c	a	a	0
10	b	c	a	a	0
11	a	c	a	a	0
12	a	b	a	a	0
13	a	b	a	a	0
14	b	d	a	a	0
15	b	d	a	a	0
16	b	d	a	a	0
17	b	c	a	a	0
18	b	d	a	a	0
19	b	d	a	a	0
20	b	c	a	a	0
21	b	c	a	a	0
22	a	c	a	a	0
23	b	c	a	a	0
24	a	c	a	a	0
25	a	b	a	a	0
26	a	c	a	a	0
27	b	c	a	a	0
28	b	c	a	a	0
29	a	c	a	a	0
...	...	...	...	...	...
120	d	c	d	d	2
121	b	b	c	d	2
122	d	b	d	d	2
123	c	b	c	c	2
124	c	c	d	d	2
125	d	c	d	c	2
126	c	b	c	c	2
127	c	b	c	c	2
128	c	b	d	d	2
129	d	b	d	c	2
130	d	b	d	d	2
131	d	d	d	d	2
132	c	b	d	d	2
133	c	b	c	c	2
134	c	b	d	c	2
135	d	b	d	d	2
136	c	c	d	d	2
137	c	c	d	c	2
138	c	b	c	c	2
139	d	c	d	d	2
140	c	c	d	d	2
141	d	c	c	d	2
142	b	b	c	d	2
143	c	c	d	d	2
144	c	c	d	d	2
145	c	b	c	d	2
146	c	a	c	d	2
147	c	b	c	d	2
148	c	c	d	d	2
149	c	b	c	c	2

150 rows × 5 columns

def fit(data):
    output_name = data.columns[-1]
    features = data.columns[0:-1]
    counts = {}
    possible_outputs = set(data[output_name])
    for output in possible_outputs:
        counts[output] = {}
        smallData = data[data[output_name] == output]
        counts[output]["total_count"] = len(smallData)
        for f in features:
            counts[output][f] = {}
            possible_values = set(smallData[f])
            for value in possible_values:
                val_count = len(smallData[smallData[f] == value])
                counts[output][f][value] = val_count
    return counts

fit(df)

{0: {&#x27;pl_labeled&#x27;: {&#x27;a&#x27;: 50},
  &#x27;pw_labeled&#x27;: {&#x27;a&#x27;: 50},
  &#x27;sl_labeled&#x27;: {&#x27;a&#x27;: 28, &#x27;b&#x27;: 22},
  &#x27;sw_labeled&#x27;: {&#x27;a&#x27;: 1, &#x27;b&#x27;: 7, &#x27;c&#x27;: 32, &#x27;d&#x27;: 10},
  &#x27;total_count&#x27;: 50},
 1: {&#x27;pl_labeled&#x27;: {&#x27;b&#x27;: 7, &#x27;c&#x27;: 43},
  &#x27;pw_labeled&#x27;: {&#x27;b&#x27;: 10, &#x27;c&#x27;: 40},
  &#x27;sl_labeled&#x27;: {&#x27;a&#x27;: 3, &#x27;b&#x27;: 21, &#x27;c&#x27;: 24, &#x27;d&#x27;: 2},
  &#x27;sw_labeled&#x27;: {&#x27;a&#x27;: 13, &#x27;b&#x27;: 29, &#x27;c&#x27;: 8},
  &#x27;total_count&#x27;: 50},
 2: {&#x27;pl_labeled&#x27;: {&#x27;c&#x27;: 20, &#x27;d&#x27;: 30},
  &#x27;pw_labeled&#x27;: {&#x27;c&#x27;: 16, &#x27;d&#x27;: 34},
  &#x27;sl_labeled&#x27;: {&#x27;a&#x27;: 1, &#x27;b&#x27;: 5, &#x27;c&#x27;: 29, &#x27;d&#x27;: 15},
  &#x27;sw_labeled&#x27;: {&#x27;a&#x27;: 5, &#x27;b&#x27;: 28, &#x27;c&#x27;: 15, &#x27;d&#x27;: 2},
  &#x27;total_count&#x27;: 50}}

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	sl	sw	pl	pw	sl_labeled	sw_labeled	pl_labeled	pw_labeled
0	5.1	3.5	1.4	0.2	b	c	a	a
1	4.9	3.0	1.4	0.2	a	b	a	a
2	4.7	3.2	1.3	0.2	a	c	a	a
3	4.6	3.1	1.5	0.2	a	c	a	a
4	5.0	3.6	1.4	0.2	a	c	a	a
5	5.4	3.9	1.7	0.4	b	d	a	a
6	4.6	3.4	1.4	0.3	a	c	a	a
7	5.0	3.4	1.5	0.2	a	c	a	a
8	4.4	2.9	1.4	0.2	a	b	a	a
9	4.9	3.1	1.5	0.1	a	c	a	a
10	5.4	3.7	1.5	0.2	b	c	a	a
11	4.8	3.4	1.6	0.2	a	c	a	a
12	4.8	3.0	1.4	0.1	a	b	a	a
13	4.3	3.0	1.1	0.1	a	b	a	a
14	5.8	4.0	1.2	0.2	b	d	a	a
15	5.7	4.4	1.5	0.4	b	d	a	a
16	5.4	3.9	1.3	0.4	b	d	a	a
17	5.1	3.5	1.4	0.3	b	c	a	a
18	5.7	3.8	1.7	0.3	b	d	a	a
19	5.1	3.8	1.5	0.3	b	d	a	a
20	5.4	3.4	1.7	0.2	b	c	a	a
21	5.1	3.7	1.5	0.4	b	c	a	a
22	4.6	3.6	1.0	0.2	a	c	a	a
23	5.1	3.3	1.7	0.5	b	c	a	a
24	4.8	3.4	1.9	0.2	a	c	a	a
25	5.0	3.0	1.6	0.2	a	b	a	a
26	5.0	3.4	1.6	0.4	a	c	a	a
27	5.2	3.5	1.5	0.2	b	c	a	a
28	5.2	3.4	1.4	0.2	b	c	a	a
29	4.7	3.2	1.6	0.2	a	c	a	a
...	...	...	...	...	...	...	...	...
120	6.9	3.2	5.7	2.3	d	c	d	d
121	5.6	2.8	4.9	2.0	b	b	c	d
122	7.7	2.8	6.7	2.0	d	b	d	d
123	6.3	2.7	4.9	1.8	c	b	c	c
124	6.7	3.3	5.7	2.1	c	c	d	d
125	7.2	3.2	6.0	1.8	d	c	d	c
126	6.2	2.8	4.8	1.8	c	b	c	c
127	6.1	3.0	4.9	1.8	c	b	c	c
128	6.4	2.8	5.6	2.1	c	b	d	d
129	7.2	3.0	5.8	1.6	d	b	d	c
130	7.4	2.8	6.1	1.9	d	b	d	d
131	7.9	3.8	6.4	2.0	d	d	d	d
132	6.4	2.8	5.6	2.2	c	b	d	d
133	6.3	2.8	5.1	1.5	c	b	c	c
134	6.1	2.6	5.6	1.4	c	b	d	c
135	7.7	3.0	6.1	2.3	d	b	d	d
136	6.3	3.4	5.6	2.4	c	c	d	d
137	6.4	3.1	5.5	1.8	c	c	d	c
138	6.0	3.0	4.8	1.8	c	b	c	c
139	6.9	3.1	5.4	2.1	d	c	d	d
140	6.7	3.1	5.6	2.4	c	c	d	d
141	6.9	3.1	5.1	2.3	d	c	c	d
142	5.8	2.7	5.1	1.9	b	b	c	d
143	6.8	3.2	5.9	2.3	c	c	d	d
144	6.7	3.3	5.7	2.5	c	c	d	d
145	6.7	3.0	5.2	2.3	c	b	c	d
146	6.3	2.5	5.0	1.9	c	a	c	d
147	6.5	3.0	5.2	2.0	c	b	c	d
148	6.2	3.4	5.4	2.3	c	c	d	d
149	5.9	3.0	5.1	1.8	c	b	c	c

	sl_labeled	sw_labeled	pl_labeled	pw_labeled	output
0	b	c	a	a	0
1	a	b	a	a	0
2	a	c	a	a	0
3	a	c	a	a	0
4	a	c	a	a	0
5	b	d	a	a	0
6	a	c	a	a	0
7	a	c	a	a	0
8	a	b	a	a	0
9	a	c	a	a	0
10	b	c	a	a	0
11	a	c	a	a	0
12	a	b	a	a	0
13	a	b	a	a	0
14	b	d	a	a	0
15	b	d	a	a	0
16	b	d	a	a	0
17	b	c	a	a	0
18	b	d	a	a	0
19	b	d	a	a	0
20	b	c	a	a	0
21	b	c	a	a	0
22	a	c	a	a	0
23	b	c	a	a	0
24	a	c	a	a	0
25	a	b	a	a	0
26	a	c	a	a	0
27	b	c	a	a	0
28	b	c	a	a	0
29	a	c	a	a	0
...	...	...	...	...	...
120	d	c	d	d	2
121	b	b	c	d	2
122	d	b	d	d	2
123	c	b	c	c	2
124	c	c	d	d	2
125	d	c	d	c	2
126	c	b	c	c	2
127	c	b	c	c	2
128	c	b	d	d	2
129	d	b	d	c	2
130	d	b	d	d	2
131	d	d	d	d	2
132	c	b	d	d	2
133	c	b	c	c	2
134	c	b	d	c	2
135	d	b	d	d	2
136	c	c	d	d	2
137	c	c	d	c	2
138	c	b	c	c	2
139	d	c	d	d	2
140	c	c	d	d	2
141	d	c	c	d	2
142	b	b	c	d	2
143	c	c	d	d	2
144	c	c	d	d	2
145	c	b	c	d	2
146	c	a	c	d	2
147	c	b	c	d	2
148	c	c	d	d	2
149	c	b	c	c	2

	sl	sw	pl	pw	sl_labeled	sw_labeled	pl_labeled	pw_labeled
0	5.1	3.5	1.4	0.2	b	c	a	a
1	4.9	3.0	1.4	0.2	a	b	a	a
2	4.7	3.2	1.3	0.2	a	c	a	a
3	4.6	3.1	1.5	0.2	a	c	a	a
4	5.0	3.6	1.4	0.2	a	c	a	a
5	5.4	3.9	1.7	0.4	b	d	a	a
6	4.6	3.4	1.4	0.3	a	c	a	a
7	5.0	3.4	1.5	0.2	a	c	a	a
8	4.4	2.9	1.4	0.2	a	b	a	a
9	4.9	3.1	1.5	0.1	a	c	a	a
10	5.4	3.7	1.5	0.2	b	c	a	a
11	4.8	3.4	1.6	0.2	a	c	a	a
12	4.8	3.0	1.4	0.1	a	b	a	a
13	4.3	3.0	1.1	0.1	a	b	a	a
14	5.8	4.0	1.2	0.2	b	d	a	a
15	5.7	4.4	1.5	0.4	b	d	a	a
16	5.4	3.9	1.3	0.4	b	d	a	a
17	5.1	3.5	1.4	0.3	b	c	a	a
18	5.7	3.8	1.7	0.3	b	d	a	a
19	5.1	3.8	1.5	0.3	b	d	a	a
20	5.4	3.4	1.7	0.2	b	c	a	a
21	5.1	3.7	1.5	0.4	b	c	a	a
22	4.6	3.6	1.0	0.2	a	c	a	a
23	5.1	3.3	1.7	0.5	b	c	a	a
24	4.8	3.4	1.9	0.2	a	c	a	a
25	5.0	3.0	1.6	0.2	a	b	a	a
26	5.0	3.4	1.6	0.4	a	c	a	a
27	5.2	3.5	1.5	0.2	b	c	a	a
28	5.2	3.4	1.4	0.2	b	c	a	a
29	4.7	3.2	1.6	0.2	a	c	a	a
...	...	...	...	...	...	...	...	...
120	6.9	3.2	5.7	2.3	d	c	d	d
121	5.6	2.8	4.9	2.0	b	b	c	d
122	7.7	2.8	6.7	2.0	d	b	d	d
123	6.3	2.7	4.9	1.8	c	b	c	c
124	6.7	3.3	5.7	2.1	c	c	d	d
125	7.2	3.2	6.0	1.8	d	c	d	c
126	6.2	2.8	4.8	1.8	c	b	c	c
127	6.1	3.0	4.9	1.8	c	b	c	c
128	6.4	2.8	5.6	2.1	c	b	d	d
129	7.2	3.0	5.8	1.6	d	b	d	c
130	7.4	2.8	6.1	1.9	d	b	d	d
131	7.9	3.8	6.4	2.0	d	d	d	d
132	6.4	2.8	5.6	2.2	c	b	d	d
133	6.3	2.8	5.1	1.5	c	b	c	c
134	6.1	2.6	5.6	1.4	c	b	d	c
135	7.7	3.0	6.1	2.3	d	b	d	d
136	6.3	3.4	5.6	2.4	c	c	d	d
137	6.4	3.1	5.5	1.8	c	c	d	c
138	6.0	3.0	4.8	1.8	c	b	c	c
139	6.9	3.1	5.4	2.1	d	c	d	d
140	6.7	3.1	5.6	2.4	c	c	d	d
141	6.9	3.1	5.1	2.3	d	c	c	d
142	5.8	2.7	5.1	1.9	b	b	c	d
143	6.8	3.2	5.9	2.3	c	c	d	d
144	6.7	3.3	5.7	2.5	c	c	d	d
145	6.7	3.0	5.2	2.3	c	b	c	d
146	6.3	2.5	5.0	1.9	c	a	c	d
147	6.5	3.0	5.2	2.0	c	b	c	d
148	6.2	3.4	5.4	2.3	c	c	d	d
149	5.9	3.0	5.1	1.8	c	b	c	c

	sl_labeled	sw_labeled	pl_labeled	pw_labeled	output
0	b	c	a	a	0
1	a	b	a	a	0
2	a	c	a	a	0
3	a	c	a	a	0
4	a	c	a	a	0
5	b	d	a	a	0
6	a	c	a	a	0
7	a	c	a	a	0
8	a	b	a	a	0
9	a	c	a	a	0
10	b	c	a	a	0
11	a	c	a	a	0
12	a	b	a	a	0
13	a	b	a	a	0
14	b	d	a	a	0
15	b	d	a	a	0
16	b	d	a	a	0
17	b	c	a	a	0
18	b	d	a	a	0
19	b	d	a	a	0
20	b	c	a	a	0
21	b	c	a	a	0
22	a	c	a	a	0
23	b	c	a	a	0
24	a	c	a	a	0
25	a	b	a	a	0
26	a	c	a	a	0
27	b	c	a	a	0
28	b	c	a	a	0
29	a	c	a	a	0
...	...	...	...	...	...
120	d	c	d	d	2
121	b	b	c	d	2
122	d	b	d	d	2
123	c	b	c	c	2
124	c	c	d	d	2
125	d	c	d	c	2
126	c	b	c	c	2
127	c	b	c	c	2
128	c	b	d	d	2
129	d	b	d	c	2
130	d	b	d	d	2
131	d	d	d	d	2
132	c	b	d	d	2
133	c	b	c	c	2
134	c	b	d	c	2
135	d	b	d	d	2
136	c	c	d	d	2
137	c	c	d	c	2
138	c	b	c	c	2
139	d	c	d	d	2
140	c	c	d	d	2
141	d	c	c	d	2
142	b	b	c	d	2
143	c	c	d	d	2
144	c	c	d	d	2
145	c	b	c	d	2
146	c	a	c	d	2
147	c	b	c	d	2
148	c	c	d	d	2
149	c	b	c	c	2

	sl	sw	pl	pw	sl_labeled	sw_labeled	pl_labeled	pw_labeled
0	5.1	3.5	1.4	0.2	b	c	a	a
1	4.9	3.0	1.4	0.2	a	b	a	a
2	4.7	3.2	1.3	0.2	a	c	a	a
3	4.6	3.1	1.5	0.2	a	c	a	a
4	5.0	3.6	1.4	0.2	a	c	a	a
5	5.4	3.9	1.7	0.4	b	d	a	a
6	4.6	3.4	1.4	0.3	a	c	a	a
7	5.0	3.4	1.5	0.2	a	c	a	a
8	4.4	2.9	1.4	0.2	a	b	a	a
9	4.9	3.1	1.5	0.1	a	c	a	a
10	5.4	3.7	1.5	0.2	b	c	a	a
11	4.8	3.4	1.6	0.2	a	c	a	a
12	4.8	3.0	1.4	0.1	a	b	a	a
13	4.3	3.0	1.1	0.1	a	b	a	a
14	5.8	4.0	1.2	0.2	b	d	a	a
15	5.7	4.4	1.5	0.4	b	d	a	a
16	5.4	3.9	1.3	0.4	b	d	a	a
17	5.1	3.5	1.4	0.3	b	c	a	a
18	5.7	3.8	1.7	0.3	b	d	a	a
19	5.1	3.8	1.5	0.3	b	d	a	a
20	5.4	3.4	1.7	0.2	b	c	a	a
21	5.1	3.7	1.5	0.4	b	c	a	a
22	4.6	3.6	1.0	0.2	a	c	a	a
23	5.1	3.3	1.7	0.5	b	c	a	a
24	4.8	3.4	1.9	0.2	a	c	a	a
25	5.0	3.0	1.6	0.2	a	b	a	a
26	5.0	3.4	1.6	0.4	a	c	a	a
27	5.2	3.5	1.5	0.2	b	c	a	a
28	5.2	3.4	1.4	0.2	b	c	a	a
29	4.7	3.2	1.6	0.2	a	c	a	a
...	...	...	...	...	...	...	...	...
120	6.9	3.2	5.7	2.3	d	c	d	d
121	5.6	2.8	4.9	2.0	b	b	c	d
122	7.7	2.8	6.7	2.0	d	b	d	d
123	6.3	2.7	4.9	1.8	c	b	c	c
124	6.7	3.3	5.7	2.1	c	c	d	d
125	7.2	3.2	6.0	1.8	d	c	d	c
126	6.2	2.8	4.8	1.8	c	b	c	c
127	6.1	3.0	4.9	1.8	c	b	c	c
128	6.4	2.8	5.6	2.1	c	b	d	d
129	7.2	3.0	5.8	1.6	d	b	d	c
130	7.4	2.8	6.1	1.9	d	b	d	d
131	7.9	3.8	6.4	2.0	d	d	d	d
132	6.4	2.8	5.6	2.2	c	b	d	d
133	6.3	2.8	5.1	1.5	c	b	c	c
134	6.1	2.6	5.6	1.4	c	b	d	c
135	7.7	3.0	6.1	2.3	d	b	d	d
136	6.3	3.4	5.6	2.4	c	c	d	d
137	6.4	3.1	5.5	1.8	c	c	d	c
138	6.0	3.0	4.8	1.8	c	b	c	c
139	6.9	3.1	5.4	2.1	d	c	d	d
140	6.7	3.1	5.6	2.4	c	c	d	d
141	6.9	3.1	5.1	2.3	d	c	c	d
142	5.8	2.7	5.1	1.9	b	b	c	d
143	6.8	3.2	5.9	2.3	c	c	d	d
144	6.7	3.3	5.7	2.5	c	c	d	d
145	6.7	3.0	5.2	2.3	c	b	c	d
146	6.3	2.5	5.0	1.9	c	a	c	d
147	6.5	3.0	5.2	2.0	c	b	c	d
148	6.2	3.4	5.4	2.3	c	c	d	d
149	5.9	3.0	5.1	1.8	c	b	c	c

	sl_labeled	sw_labeled	pl_labeled	pw_labeled	output
0	b	c	a	a	0
1	a	b	a	a	0
2	a	c	a	a	0
3	a	c	a	a	0
4	a	c	a	a	0
5	b	d	a	a	0
6	a	c	a	a	0
7	a	c	a	a	0
8	a	b	a	a	0
9	a	c	a	a	0
10	b	c	a	a	0
11	a	c	a	a	0
12	a	b	a	a	0
13	a	b	a	a	0
14	b	d	a	a	0
15	b	d	a	a	0
16	b	d	a	a	0
17	b	c	a	a	0
18	b	d	a	a	0
19	b	d	a	a	0
20	b	c	a	a	0
21	b	c	a	a	0
22	a	c	a	a	0
23	b	c	a	a	0
24	a	c	a	a	0
25	a	b	a	a	0
26	a	c	a	a	0
27	b	c	a	a	0
28	b	c	a	a	0
29	a	c	a	a	0
...	...	...	...	...	...
120	d	c	d	d	2
121	b	b	c	d	2
122	d	b	d	d	2
123	c	b	c	c	2
124	c	c	d	d	2
125	d	c	d	c	2
126	c	b	c	c	2
127	c	b	c	c	2
128	c	b	d	d	2
129	d	b	d	c	2
130	d	b	d	d	2
131	d	d	d	d	2
132	c	b	d	d	2
133	c	b	c	c	2
134	c	b	d	c	2
135	d	b	d	d	2
136	c	c	d	d	2
137	c	c	d	c	2
138	c	b	c	c	2
139	d	c	d	d	2
140	c	c	d	d	2
141	d	c	c	d	2
142	b	b	c	d	2
143	c	c	d	d	2
144	c	c	d	d	2
145	c	b	c	d	2
146	c	a	c	d	2
147	c	b	c	d	2
148	c	c	d	d	2
149	c	b	c	c	2