From fbf5e41115e7e13ee07a31b3f35cdd52167c6e5b Mon Sep 17 00:00:00 2001
From: Niklas <niklas.speckels1@gmail.com>
Date: Mon, 17 Jan 2022 20:00:45 +0100
Subject: [PATCH] added a parameter to kmeans

---
 .../algorithm_comparison_classification.ipynb | 39 ++++++++-----------
 1 file changed, 16 insertions(+), 23 deletions(-)

diff --git a/notebooks/source/algorithm_comparison_classification.ipynb b/notebooks/source/algorithm_comparison_classification.ipynb
index 5c7036b..54fd1b6 100644
--- a/notebooks/source/algorithm_comparison_classification.ipynb
+++ b/notebooks/source/algorithm_comparison_classification.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 209,
+   "execution_count": 220,
    "outputs": [],
    "source": [
     "import pandas as pd\n",
@@ -39,14 +39,14 @@
      "name": "#%%\n"
     }
    },
-   "execution_count": 210,
+   "execution_count": 221,
    "outputs": [
     {
      "data": {
       "text/plain": "   PassengerId  Survived  Pclass  \\\n0            1         0       3   \n1            2         1       1   \n2            3         1       3   \n3            4         1       1   \n4            5         0       3   \n\n                                                Name     Sex   Age  SibSp  \\\n0                            Braund, Mr. Owen Harris    male  22.0      1   \n1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n2                             Heikkinen, Miss. Laina  female  26.0      0   \n3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n4                           Allen, Mr. William Henry    male  35.0      0   \n\n   Parch            Ticket     Fare Cabin Embarked  \n0      0         A/5 21171   7.2500   NaN        S  \n1      0          PC 17599  71.2833   C85        C  \n2      0  STON/O2. 3101282   7.9250   NaN        S  \n3      0            113803  53.1000  C123        S  \n4      0            373450   8.0500   NaN        S  ",
       "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>PassengerId</th>\n      <th>Survived</th>\n      <th>Pclass</th>\n      <th>Name</th>\n      <th>Sex</th>\n      <th>Age</th>\n      <th>SibSp</th>\n      <th>Parch</th>\n      <th>Ticket</th>\n      <th>Fare</th>\n      <th>Cabin</th>\n      <th>Embarked</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Braund, Mr. Owen Harris</td>\n      <td>male</td>\n      <td>22.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>A/5 21171</td>\n      <td>7.2500</td>\n      <td>NaN</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n      <td>female</td>\n      <td>38.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>PC 17599</td>\n      <td>71.2833</td>\n      <td>C85</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>1</td>\n      <td>3</td>\n      <td>Heikkinen, Miss. Laina</td>\n      <td>female</td>\n      <td>26.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>STON/O2. 3101282</td>\n      <td>7.9250</td>\n      <td>NaN</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n      <td>female</td>\n      <td>35.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>113803</td>\n      <td>53.1000</td>\n      <td>C123</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Allen, Mr. William Henry</td>\n      <td>male</td>\n      <td>35.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>373450</td>\n      <td>8.0500</td>\n      <td>NaN</td>\n      <td>S</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
      },
-     "execution_count": 210,
+     "execution_count": 221,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -54,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 211,
+   "execution_count": 222,
    "outputs": [],
    "source": [
     "data[\"Sex\"] = data[\"Sex\"].map({\"male\":0, \"female\":1})\n",
@@ -80,13 +80,13 @@
      "name": "#%%\n"
     }
    },
-   "execution_count": 212,
+   "execution_count": 223,
    "outputs": [
     {
      "data": {
       "text/plain": "PassengerId      0\nSurvived         0\nPclass           0\nName             0\nSex              0\nAge            177\nSibSp            0\nParch            0\nTicket           0\nFare             0\nCabin          687\nEmbarked         2\ndtype: int64"
      },
-     "execution_count": 212,
+     "execution_count": 223,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -94,7 +94,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 213,
+   "execution_count": 224,
    "outputs": [],
    "source": [
     "imp = SimpleImputer(strategy=\"mean\")\n",
@@ -122,19 +122,19 @@
      "name": "#%%\n"
     }
    },
-   "execution_count": 214,
+   "execution_count": 225,
    "outputs": []
   },
   {
    "cell_type": "code",
-   "execution_count": 215,
+   "execution_count": 226,
    "outputs": [],
    "source": [
     "nearest_neighbors = KNeighborsClassifier()\n",
     "decision_tree = DecisionTreeClassifier()\n",
     "random_forest = RandomForestClassifier()\n",
     "naive_bayes = GaussianNB()\n",
-    "k_means = KMeans(n_clusters=3)\n",
+    "k_means = KMeans(n_clusters=3, init='k-means++')\n",
     "logistic_reg = LogisticRegression()\n",
     "support_vector = SVC()"
    ],
@@ -147,13 +147,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 216,
+   "execution_count": 227,
    "outputs": [
     {
      "data": {
       "text/plain": "SVC()"
      },
-     "execution_count": 216,
+     "execution_count": 227,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -176,7 +176,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 217,
+   "execution_count": 228,
    "outputs": [],
    "source": [
     "nearest_neighbors_pred = nearest_neighbors.predict(X_test)\n",
@@ -196,7 +196,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 218,
+   "execution_count": 229,
    "outputs": [],
    "source": [
     "nearest_neighbors_acc = accuracy_score(y_test, nearest_neighbors_pred)\n",
@@ -216,24 +216,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 219,
+   "execution_count": 230,
    "outputs": [
     {
      "data": {
       "text/plain": "<Figure size 432x288 with 1 Axes>",
-      "image/png": "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\n"
+      "image/png": "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\n"
      },
      "metadata": {
       "needs_background": "light"
      },
      "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[0.7802690582959642, 0.7780269058295964, 0.8183856502242153, 0.7713004484304933, 0.484304932735426, 0.7959641255605381, 0.5986547085201793]\n"
-     ]
     }
    ],
    "source": [
-- 
GitLab