Private_vs_Public_Universities.ipynb

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    {
      "cell_type": "markdown",
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      "source": [
        "<a href=\"https://colab.research.google.com/github/willdphan/private-vs-public-uni/blob/main/Private_vs_Public_Universities.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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    {
      "cell_type": "markdown",
      "source": [
        "# University Classification - Private vs Public\n",
        "\n",
        "This dataset offers a snapshot of US colleges as presented in the 1995 issue of US News and World Report. It encapsulates various metrics such as institution type, application figures, student demographics, costs, faculty qualifications, and other notable institutional statistics. The data provides insights into 777 colleges, capturing both private and public institutions.\n",
        "\n",
        "For this project we will attempt to use K-Means Clustering to cluster Universities into to two groups, Private and Public. Mostly to experiment and learn.\n",
        "\n",
        "K-Means Clustering is an unsupervised learning technique. Unlike typical supervised methods, K-Means classifies data without prior knowledge of labeled data. After defining the clusters, new data can be readily placed into its appropriate group.\n",
        "\n",
        "Typically, the K-Means algorithm is employed when data labels are unavailable. In this scenario, while we'll leverage the labels to gauge the algorithm's performance, it's unconventional to do so with K-Means. Consequently, the resulting classification report and confusion matrix aren't representative of a genuine real-world application of the algorithm.\n",
        "\n",
        "Dataset is from [Kaggle](https://www.kaggle.com/datasets/flyingwombat/us-news-and-world-reports-college-data)\n",
        "\n",
        "> ## Steps to K-Means\n",
        "\n",
        ">>[Import Libraries](#scrollTo=pZYyC_rXXqMy)\n",
        "\n",
        ">>[Read Data](#scrollTo=Xqv3ZtjnXqMz)\n",
        "\n",
        ">>[Check info() and describe() Methods on Dataset](#scrollTo=2xy0BtvKXqM0)\n",
        "\n",
        ">>[Exploratory Data Analysis (EDA)](#scrollTo=CoKunExKXqM0)\n",
        "\n",
        ">>[Create KMeans Model](#scrollTo=4QGALdjjXqM1)\n",
        "\n",
        ">>[Evaluation](#scrollTo=RXuE9QA0XqM1)\n",
        "\n",
        ">>[Scaling the data](#scrollTo=Bemk867EXqM2)\n"
      ],
      "metadata": {
        "id": "AaGclSWtXqMx"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 1. Import Libraries\n",
        "\n",
        "Import the libraries uses for data analysis."
      ],
      "metadata": {
        "id": "pZYyC_rXXqMy"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Metrics\n",
        "from sklearn.metrics import classification_report, confusion_matrix\n",
        "\n",
        "# Warnings\n",
        "import warnings\n",
        "warnings.filterwarnings(\"ignore\")\n",
        "\n",
        "# Model\n",
        "from sklearn.cluster import KMeans\n",
        "\n",
        "%matplotlib inline\n",
        "sns.set_style('whitegrid')\n",
        "plt.style.use('fivethirtyeight')"
      ],
      "metadata": {
        "execution": {
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        "id": "ffnTDtz0XqMy",
        "outputId": "417a9a5f-c8bc-44b4-97e4-af16f340cc21"
      },
      "execution_count": null,
      "outputs": [
        {
          "name": "stderr",
          "text": "/opt/conda/lib/python3.10/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.5\n  warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion}\"\n",
          "output_type": "stream"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 2. Read Data"
      ],
      "metadata": {
        "id": "Xqv3ZtjnXqMz"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data = pd.read_csv(\"/kaggle/input/college-data/data.csv\")\n",
        "data.head()"
      ],
      "metadata": {
        "execution": {
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      "execution_count": null,
      "outputs": [
        {
          "execution_count": 2,
          "output_type": "execute_result",
          "data": {
            "text/plain": "  private  apps  accept  enroll  top10perc  top25perc  f_undergrad  \\\n0     Yes  1660    1232     721         23         52         2885   \n1     Yes  2186    1924     512         16         29         2683   \n2     Yes  1428    1097     336         22         50         1036   \n3     Yes   417     349     137         60         89          510   \n4     Yes   193     146      55         16         44          249   \n\n   p_undergrad  outstate  room_board  books  personal  phd  terminal  \\\n0          537      7440        3300    450      2200   70        78   \n1         1227     12280        6450    750      1500   29        30   \n2           99     11250        3750    400      1165   53        66   \n3           63     12960        5450    450       875   92        97   \n4          869      7560        4120    800      1500   76        72   \n\n   s_f_ratio  perc_alumni  expend  grad_rate  \n0       18.1           12    7041         60  \n1       12.2           16   10527         56  \n2       12.9           30    8735         54  \n3        7.7           37   19016         59  \n4       11.9            2   10922         15  ",
            "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>private</th>\n      <th>apps</th>\n      <th>accept</th>\n      <th>enroll</th>\n      <th>top10perc</th>\n      <th>top25perc</th>\n      <th>f_undergrad</th>\n      <th>p_undergrad</th>\n      <th>outstate</th>\n      <th>room_board</th>\n      <th>books</th>\n      <th>personal</th>\n      <th>phd</th>\n      <th>terminal</th>\n      <th>s_f_ratio</th>\n      <th>perc_alumni</th>\n      <th>expend</th>\n      <th>grad_rate</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Yes</td>\n      <td>1660</td>\n      <td>1232</td>\n      <td>721</td>\n      <td>23</td>\n      <td>52</td>\n      <td>2885</td>\n      <td>537</td>\n      <td>7440</td>\n      <td>3300</td>\n      <td>450</td>\n      <td>2200</td>\n      <td>70</td>\n      <td>78</td>\n      <td>18.1</td>\n      <td>12</td>\n      <td>7041</td>\n      <td>60</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Yes</td>\n      <td>2186</td>\n      <td>1924</td>\n      <td>512</td>\n      <td>16</td>\n      <td>29</td>\n      <td>2683</td>\n      <td>1227</td>\n      <td>12280</td>\n      <td>6450</td>\n      <td>750</td>\n      <td>1500</td>\n      <td>29</td>\n      <td>30</td>\n      <td>12.2</td>\n      <td>16</td>\n      <td>10527</td>\n      <td>56</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Yes</td>\n      <td>1428</td>\n      <td>1097</td>\n      <td>336</td>\n      <td>22</td>\n      <td>50</td>\n      <td>1036</td>\n      <td>99</td>\n      <td>11250</td>\n      <td>3750</td>\n      <td>400</td>\n      <td>1165</td>\n      <td>53</td>\n      <td>66</td>\n      <td>12.9</td>\n      <td>30</td>\n      <td>8735</td>\n      <td>54</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Yes</td>\n      <td>417</td>\n      <td>349</td>\n      <td>137</td>\n      <td>60</td>\n      <td>89</td>\n      <td>510</td>\n      <td>63</td>\n      <td>12960</td>\n      <td>5450</td>\n      <td>450</td>\n      <td>875</td>\n      <td>92</td>\n      <td>97</td>\n      <td>7.7</td>\n      <td>37</td>\n      <td>19016</td>\n      <td>59</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Yes</td>\n      <td>193</td>\n      <td>146</td>\n      <td>55</td>\n      <td>16</td>\n      <td>44</td>\n      <td>249</td>\n      <td>869</td>\n      <td>7560</td>\n      <td>4120</td>\n      <td>800</td>\n      <td>1500</td>\n      <td>76</td>\n      <td>72</td>\n      <td>11.9</td>\n      <td>2</td>\n      <td>10922</td>\n      <td>15</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
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      ]
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    {
      "cell_type": "markdown",
      "source": [
        "### 3. Check info() and describe() Methods on Dataset"
      ],
      "metadata": {
        "id": "2xy0BtvKXqM0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data.info()"
      ],
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        "outputId": "54c8d793-5afa-4d70-834a-83eec78b8d36"
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      "outputs": [
        {
          "name": "stdout",
          "text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 777 entries, 0 to 776\nData columns (total 18 columns):\n #   Column       Non-Null Count  Dtype  \n---  ------       --------------  -----  \n 0   private      777 non-null    object \n 1   apps         777 non-null    int64  \n 2   accept       777 non-null    int64  \n 3   enroll       777 non-null    int64  \n 4   top10perc    777 non-null    int64  \n 5   top25perc    777 non-null    int64  \n 6   f_undergrad  777 non-null    int64  \n 7   p_undergrad  777 non-null    int64  \n 8   outstate     777 non-null    int64  \n 9   room_board   777 non-null    int64  \n 10  books        777 non-null    int64  \n 11  personal     777 non-null    int64  \n 12  phd          777 non-null    int64  \n 13  terminal     777 non-null    int64  \n 14  s_f_ratio    777 non-null    float64\n 15  perc_alumni  777 non-null    int64  \n 16  expend       777 non-null    int64  \n 17  grad_rate    777 non-null    int64  \ndtypes: float64(1), int64(16), object(1)\nmemory usage: 109.4+ KB\n",
          "output_type": "stream"
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pd.set_option('display.float', '{:.2f}'.format)\n",
        "data.describe()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-08-07T23:26:58.788099Z",
          "iopub.execute_input": "2023-08-07T23:26:58.788558Z",
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        "id": "jHrCormsXqM0",
        "outputId": "a5b8d9a9-4e5e-475c-baa3-4933602d38f0"
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      "execution_count": null,
      "outputs": [
        {
          "execution_count": 4,
          "output_type": "execute_result",
          "data": {
            "text/plain": "          apps   accept  enroll  top10perc  top25perc  f_undergrad  \\\ncount   777.00   777.00  777.00     777.00     777.00       777.00   \nmean   3001.64  2018.80  779.97      27.56      55.80      3699.91   \nstd    3870.20  2451.11  929.18      17.64      19.80      4850.42   \nmin      81.00    72.00   35.00       1.00       9.00       139.00   \n25%     776.00   604.00  242.00      15.00      41.00       992.00   \n50%    1558.00  1110.00  434.00      23.00      54.00      1707.00   \n75%    3624.00  2424.00  902.00      35.00      69.00      4005.00   \nmax   48094.00 26330.00 6392.00      96.00     100.00     31643.00   \n\n       p_undergrad  outstate  room_board   books  personal    phd  terminal  \\\ncount       777.00    777.00      777.00  777.00    777.00 777.00    777.00   \nmean        855.30  10440.67     4357.53  549.38   1340.64  72.66     79.70   \nstd        1522.43   4023.02     1096.70  165.11    677.07  16.33     14.72   \nmin           1.00   2340.00     1780.00   96.00    250.00   8.00     24.00   \n25%          95.00   7320.00     3597.00  470.00    850.00  62.00     71.00   \n50%         353.00   9990.00     4200.00  500.00   1200.00  75.00     82.00   \n75%         967.00  12925.00     5050.00  600.00   1700.00  85.00     92.00   \nmax       21836.00  21700.00     8124.00 2340.00   6800.00 103.00    100.00   \n\n       s_f_ratio  perc_alumni   expend  grad_rate  \ncount     777.00       777.00   777.00     777.00  \nmean       14.09        22.74  9660.17      65.46  \nstd         3.96        12.39  5221.77      17.18  \nmin         2.50         0.00  3186.00      10.00  \n25%        11.50        13.00  6751.00      53.00  \n50%        13.60        21.00  8377.00      65.00  \n75%        16.50        31.00 10830.00      78.00  \nmax        39.80        64.00 56233.00     118.00  ",
            "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>apps</th>\n      <th>accept</th>\n      <th>enroll</th>\n      <th>top10perc</th>\n      <th>top25perc</th>\n      <th>f_undergrad</th>\n      <th>p_undergrad</th>\n      <th>outstate</th>\n      <th>room_board</th>\n      <th>books</th>\n      <th>personal</th>\n      <th>phd</th>\n      <th>terminal</th>\n      <th>s_f_ratio</th>\n      <th>perc_alumni</th>\n      <th>expend</th>\n      <th>grad_rate</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>777.00</td>\n      <td>777.00</td>\n      <td>777.00</td>\n      <td>777.00</td>\n      <td>777.00</td>\n      <td>777.00</td>\n      <td>777.00</td>\n      <td>777.00</td>\n      <td>777.00</td>\n      <td>777.00</td>\n      <td>777.00</td>\n      <td>777.00</td>\n      <td>777.00</td>\n      <td>777.00</td>\n      <td>777.00</td>\n      <td>777.00</td>\n      <td>777.00</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>3001.64</td>\n      <td>2018.80</td>\n      <td>779.97</td>\n      <td>27.56</td>\n      <td>55.80</td>\n      <td>3699.91</td>\n      <td>855.30</td>\n      <td>10440.67</td>\n      <td>4357.53</td>\n      <td>549.38</td>\n      <td>1340.64</td>\n      <td>72.66</td>\n      <td>79.70</td>\n      <td>14.09</td>\n      <td>22.74</td>\n      <td>9660.17</td>\n      <td>65.46</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>3870.20</td>\n      <td>2451.11</td>\n      <td>929.18</td>\n      <td>17.64</td>\n      <td>19.80</td>\n      <td>4850.42</td>\n      <td>1522.43</td>\n      <td>4023.02</td>\n      <td>1096.70</td>\n      <td>165.11</td>\n      <td>677.07</td>\n      <td>16.33</td>\n      <td>14.72</td>\n      <td>3.96</td>\n      <td>12.39</td>\n      <td>5221.77</td>\n      <td>17.18</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>81.00</td>\n      <td>72.00</td>\n      <td>35.00</td>\n      <td>1.00</td>\n      <td>9.00</td>\n      <td>139.00</td>\n      <td>1.00</td>\n      <td>2340.00</td>\n      <td>1780.00</td>\n      <td>96.00</td>\n      <td>250.00</td>\n      <td>8.00</td>\n      <td>24.00</td>\n      <td>2.50</td>\n      <td>0.00</td>\n      <td>3186.00</td>\n      <td>10.00</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>776.00</td>\n      <td>604.00</td>\n      <td>242.00</td>\n      <td>15.00</td>\n      <td>41.00</td>\n      <td>992.00</td>\n      <td>95.00</td>\n      <td>7320.00</td>\n      <td>3597.00</td>\n      <td>470.00</td>\n      <td>850.00</td>\n      <td>62.00</td>\n      <td>71.00</td>\n      <td>11.50</td>\n      <td>13.00</td>\n      <td>6751.00</td>\n      <td>53.00</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>1558.00</td>\n      <td>1110.00</td>\n      <td>434.00</td>\n      <td>23.00</td>\n      <td>54.00</td>\n      <td>1707.00</td>\n      <td>353.00</td>\n      <td>9990.00</td>\n      <td>4200.00</td>\n      <td>500.00</td>\n      <td>1200.00</td>\n      <td>75.00</td>\n      <td>82.00</td>\n      <td>13.60</td>\n      <td>21.00</td>\n      <td>8377.00</td>\n      <td>65.00</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>3624.00</td>\n      <td>2424.00</td>\n      <td>902.00</td>\n      <td>35.00</td>\n      <td>69.00</td>\n      <td>4005.00</td>\n      <td>967.00</td>\n      <td>12925.00</td>\n      <td>5050.00</td>\n      <td>600.00</td>\n      <td>1700.00</td>\n      <td>85.00</td>\n      <td>92.00</td>\n      <td>16.50</td>\n      <td>31.00</td>\n      <td>10830.00</td>\n      <td>78.00</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>48094.00</td>\n      <td>26330.00</td>\n      <td>6392.00</td>\n      <td>96.00</td>\n      <td>100.00</td>\n      <td>31643.00</td>\n      <td>21836.00</td>\n      <td>21700.00</td>\n      <td>8124.00</td>\n      <td>2340.00</td>\n      <td>6800.00</td>\n      <td>103.00</td>\n      <td>100.00</td>\n      <td>39.80</td>\n      <td>64.00</td>\n      <td>56233.00</td>\n      <td>118.00</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "private = (data['private'] == 'Yes').sum()\n",
        "non_public = (data['private'] == 'No').sum()\n",
        "\n",
        "private, non_public"
      ],
      "metadata": {
        "execution": {
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        "id": "Lj82NQK3XqM0",
        "outputId": "ee04a9b6-e839-41ba-e785-a9bb79793971"
      },
      "execution_count": null,
      "outputs": [
        {
          "execution_count": 5,
          "output_type": "execute_result",
          "data": {
            "text/plain": "(565, 212)"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 3. Exploratory Data Analysis (EDA)\n",
        "\n",
        "Create a scatter plot to display how graduation rates and room board price differ in private and non-private schools.\n",
        "\n",
        "Analyze private and non-private schools on their graduation rate and room board.\n",
        "\n",
        "As noted below, we see that those higher costs for room_board are more likely to go to a private school.\n",
        "\n",
        "Those who go to a non-private school are less likely to graduate and have a lower fee when it comes to room_board."
      ],
      "metadata": {
        "id": "CoKunExKXqM0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10, 10))\n",
        "sns.scatterplot(x='room_board', y='grad_rate', data=data, hue='private')"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-08-07T23:26:58.862469Z",
          "iopub.execute_input": "2023-08-07T23:26:58.863162Z",
          "iopub.status.idle": "2023-08-07T23:26:59.474246Z",
          "shell.execute_reply.started": "2023-08-07T23:26:58.863122Z",
          "shell.execute_reply": "2023-08-07T23:26:59.473266Z"
        },
        "trusted": true,
        "id": "AiT3ZzQAXqM0",
        "outputId": "2046b280-c44a-4c88-9f46-6393698245a2"
      },
      "execution_count": null,
      "outputs": [
        {
          "execution_count": 6,
          "output_type": "execute_result",
          "data": {
            "text/plain": "<Axes: xlabel='room_board', ylabel='grad_rate'>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1000x1000 with 1 Axes>",
            "image/png": 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"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Create a scatter plot to display how number of full time undergraduates and number of state stuydents differ in private and non-private schools.\n",
        "\n",
        "As seen below, there are more full time undergraduates for non-private schools compared to private schools.\n",
        "\n",
        "However, there are more private schools out of state compared to non-private schools."
      ],
      "metadata": {
        "id": "MSDkm7sdXqM0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(10, 10))\n",
        "sns.scatterplot(x='outstate', y='f_undergrad', data=data, hue='private')"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-08-07T23:26:59.475494Z",
          "iopub.execute_input": "2023-08-07T23:26:59.475997Z",
          "iopub.status.idle": "2023-08-07T23:27:00.065771Z",
          "shell.execute_reply.started": "2023-08-07T23:26:59.475968Z",
          "shell.execute_reply": "2023-08-07T23:27:00.064573Z"
        },
        "trusted": true,
        "id": "IbQa0lSXXqM0",
        "outputId": "97d4a216-27b0-48b9-846a-30394b408e93"
      },
      "execution_count": null,
      "outputs": [
        {
          "execution_count": 7,
          "output_type": "execute_result",
          "data": {
            "text/plain": "<Axes: xlabel='outstate', ylabel='f_undergrad'>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1000x1000 with 1 Axes>",
            "image/png": 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"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Below are histograms that visually display the difference between private and non-private collages for the two variables.\n",
        "\n",
        "Non-private colleges are less likely to be out of state."
      ],
      "metadata": {
        "id": "5LoU_t_qXqM0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(12, 8))\n",
        "\n",
        "data.loc[data.private == 'Yes', 'outstate'].hist(label=\"Private College\", bins=30)\n",
        "data.loc[data.private == 'No', 'outstate'].hist(label=\"Non Private College\", bins=30)\n",
        "\n",
        "plt.xlabel('Outstate')\n",
        "plt.legend()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-08-07T23:27:00.067498Z",
          "iopub.execute_input": "2023-08-07T23:27:00.067989Z",
          "iopub.status.idle": "2023-08-07T23:27:00.667729Z",
          "shell.execute_reply.started": "2023-08-07T23:27:00.067950Z",
          "shell.execute_reply": "2023-08-07T23:27:00.666657Z"
        },
        "trusted": true,
        "id": "6beZDGIDXqM0",
        "outputId": "2e113364-32df-46f8-f2e6-c80654d8bb4e"
      },
      "execution_count": null,
      "outputs": [
        {
          "execution_count": 8,
          "output_type": "execute_result",
          "data": {
            "text/plain": "<matplotlib.legend.Legend at 0x7f843fff7f40>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1200x800 with 1 Axes>",
            "image/png": 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"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The graduation rate for private colleges is higher than non-private colleges"
      ],
      "metadata": {
        "id": "m0omy5IhXqM0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(12, 8))\n",
        "\n",
        "data.loc[data.private == 'Yes', 'grad_rate'].hist(label=\"Private College\", bins=30)\n",
        "data.loc[data.private == 'No', 'grad_rate'].hist(label=\"Non Private College\", bins=30)\n",
        "\n",
        "plt.xlabel('Graduation Rate')\n",
        "plt.legend()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-08-07T23:27:00.669285Z",
          "iopub.execute_input": "2023-08-07T23:27:00.669754Z",
          "iopub.status.idle": "2023-08-07T23:27:01.241303Z",
          "shell.execute_reply.started": "2023-08-07T23:27:00.669707Z",
          "shell.execute_reply": "2023-08-07T23:27:01.240482Z"
        },
        "trusted": true,
        "id": "C9AKLwsCXqM0",
        "outputId": "f853f3b8-1e3a-410d-f8cd-78cf163f3368"
      },
      "execution_count": null,
      "outputs": [
        {
          "execution_count": 9,
          "output_type": "execute_result",
          "data": {
            "text/plain": "<matplotlib.legend.Legend at 0x7f843ff1af50>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1200x800 with 1 Axes>",
            "image/png": 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"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "There is an outlier near 120 mark! Here, we locate it and analyze why this is the case."
      ],
      "metadata": {
        "id": "iu2p7R-vXqM0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data.loc[data.grad_rate > 100]"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-08-07T23:27:01.245816Z",
          "iopub.execute_input": "2023-08-07T23:27:01.246351Z",
          "iopub.status.idle": "2023-08-07T23:27:01.261370Z",
          "shell.execute_reply.started": "2023-08-07T23:27:01.246309Z",
          "shell.execute_reply": "2023-08-07T23:27:01.260238Z"
        },
        "trusted": true,
        "id": "LSoNdrpXXqM1",
        "outputId": "6f9a0e46-3339-4d68-8f41-b3f1e7450d63"
      },
      "execution_count": null,
      "outputs": [
        {
          "execution_count": 10,
          "output_type": "execute_result",
          "data": {
            "text/plain": "   private  apps  accept  enroll  top10perc  top25perc  f_undergrad  \\\n95     Yes  3847    3433     527          9         35         1010   \n\n    p_undergrad  outstate  room_board  books  personal  phd  terminal  \\\n95           12      9384        4840    600       500   22        47   \n\n    s_f_ratio  perc_alumni  expend  grad_rate  \n95      14.30           20    7697        118  ",
            "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>private</th>\n      <th>apps</th>\n      <th>accept</th>\n      <th>enroll</th>\n      <th>top10perc</th>\n      <th>top25perc</th>\n      <th>f_undergrad</th>\n      <th>p_undergrad</th>\n      <th>outstate</th>\n      <th>room_board</th>\n      <th>books</th>\n      <th>personal</th>\n      <th>phd</th>\n      <th>terminal</th>\n      <th>s_f_ratio</th>\n      <th>perc_alumni</th>\n      <th>expend</th>\n      <th>grad_rate</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>95</th>\n      <td>Yes</td>\n      <td>3847</td>\n      <td>3433</td>\n      <td>527</td>\n      <td>9</td>\n      <td>35</td>\n      <td>1010</td>\n      <td>12</td>\n      <td>9384</td>\n      <td>4840</td>\n      <td>600</td>\n      <td>500</td>\n      <td>22</td>\n      <td>47</td>\n      <td>14.30</td>\n      <td>20</td>\n      <td>7697</td>\n      <td>118</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "It's weird that it is above 100% (it's 118%). In terms of percentages, it's generally not accepted for a metric to be above 100%. So, lets re-enter the value for this data point to be 100."
      ],
      "metadata": {
        "id": "OdAnLvlPXqM1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data.loc[data.grad_rate > 100, 'grad_rate'] = 100"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-08-07T23:27:01.263476Z",
          "iopub.execute_input": "2023-08-07T23:27:01.263788Z",
          "iopub.status.idle": "2023-08-07T23:27:01.273067Z",
          "shell.execute_reply.started": "2023-08-07T23:27:01.263760Z",
          "shell.execute_reply": "2023-08-07T23:27:01.271846Z"
        },
        "trusted": true,
        "id": "k74P0XheXqM1"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Now, there are no values above 100%."
      ],
      "metadata": {
        "id": "rTOXMKrsXqM1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data.loc[data.grad_rate > 100]"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-08-07T23:27:01.274231Z",
          "iopub.execute_input": "2023-08-07T23:27:01.275041Z",
          "iopub.status.idle": "2023-08-07T23:27:01.292466Z",
          "shell.execute_reply.started": "2023-08-07T23:27:01.275011Z",
          "shell.execute_reply": "2023-08-07T23:27:01.291213Z"
        },
        "trusted": true,
        "id": "nbZt4zXXXqM1",
        "outputId": "1799aced-ea4a-4edb-df00-3c34ccd4903f"
      },
      "execution_count": null,
      "outputs": [
        {
          "execution_count": 12,
          "output_type": "execute_result",
          "data": {
            "text/plain": "Empty DataFrame\nColumns: [private, apps, accept, enroll, top10perc, top25perc, f_undergrad, p_undergrad, outstate, room_board, books, personal, phd, terminal, s_f_ratio, perc_alumni, expend, grad_rate]\nIndex: []",
            "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>private</th>\n      <th>apps</th>\n      <th>accept</th>\n      <th>enroll</th>\n      <th>top10perc</th>\n      <th>top25perc</th>\n      <th>f_undergrad</th>\n      <th>p_undergrad</th>\n      <th>outstate</th>\n      <th>room_board</th>\n      <th>books</th>\n      <th>personal</th>\n      <th>phd</th>\n      <th>terminal</th>\n      <th>s_f_ratio</th>\n      <th>perc_alumni</th>\n      <th>expend</th>\n      <th>grad_rate</th>\n    </tr>\n  </thead>\n  <tbody>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Below, we visualize the graph again to check if the outlier still exists. Now, it is gone!"
      ],
      "metadata": {
        "id": "KiulV8pKXqM1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(12, 8))\n",
        "\n",
        "data.loc[data.private == 'Yes', 'grad_rate'].hist(label=\"Private College\", bins=30)\n",
        "data.loc[data.private == 'No', 'grad_rate'].hist(label=\"Non Private College\", bins=30)\n",
        "\n",
        "plt.xlabel('Graduation Rate')\n",
        "plt.legend()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-08-07T23:27:01.293872Z",
          "iopub.execute_input": "2023-08-07T23:27:01.294193Z",
          "iopub.status.idle": "2023-08-07T23:27:01.828114Z",
          "shell.execute_reply.started": "2023-08-07T23:27:01.294165Z",
          "shell.execute_reply": "2023-08-07T23:27:01.827040Z"
        },
        "trusted": true,
        "id": "yjrPfs3_XqM1",
        "outputId": "96ce0f5f-cb4f-49d6-c85e-bfd6f92ef386"
      },
      "execution_count": null,
      "outputs": [
        {
          "execution_count": 13,
          "output_type": "execute_result",
          "data": {
            "text/plain": "<matplotlib.legend.Legend at 0x7f843fe13040>"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1200x800 with 1 Axes>",
            "image/png": 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"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Create KMeans Model\n",
        "\n",
        "Using the KMeans model from sklearn, we can import KMeans. KMeans(2) creates an instance of the KMeans algorithm.\n",
        "The number 2 signifies that you want to segment the data into two clusters."
      ],
      "metadata": {
        "id": "4QGALdjjXqM1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "kmeans = KMeans(2)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-08-07T23:27:01.829470Z",
          "iopub.execute_input": "2023-08-07T23:27:01.829850Z",
          "iopub.status.idle": "2023-08-07T23:27:01.834667Z",
          "shell.execute_reply.started": "2023-08-07T23:27:01.829811Z",
          "shell.execute_reply": "2023-08-07T23:27:01.833697Z"
        },
        "trusted": true,
        "id": "AqmoJoy1XqM1"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Fit the model to all the data except for the Private label. In other words, exclude the results or output column."
      ],
      "metadata": {
        "id": "EPvpQ4GLXqM1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "kmeans.fit(data.drop('private', axis=1))"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-08-07T23:27:01.836220Z",
          "iopub.execute_input": "2023-08-07T23:27:01.836566Z",
          "iopub.status.idle": "2023-08-07T23:27:04.057105Z",
          "shell.execute_reply.started": "2023-08-07T23:27:01.836537Z",
          "shell.execute_reply": "2023-08-07T23:27:04.055984Z"
        },
        "trusted": true,
        "id": "GlMFagYVXqM1",
        "outputId": "9af3750d-cfb8-4842-baed-2fc57553106d"
      },
      "execution_count": null,
      "outputs": [
        {
          "execution_count": 15,
          "output_type": "execute_result",
          "data": {
            "text/plain": "KMeans(n_clusters=2)",
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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Check the cluster vectors."
      ],
      "metadata": {
        "id": "Yb63detrXqM1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "kmeans.cluster_centers_"
      ],
      "metadata": {
        "execution": {
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        "id": "BaTG-7gzXqM1",
        "outputId": "595cc67b-f8b1-4baa-85c0-6922ea9934a5"
      },
      "execution_count": null,
      "outputs": [
        {
          "execution_count": 16,
          "output_type": "execute_result",
          "data": {
            "text/plain": "array([[1.03631389e+04, 6.55089815e+03, 2.56972222e+03, 4.14907407e+01,\n        7.02037037e+01, 1.30619352e+04, 2.46486111e+03, 1.07191759e+04,\n        4.64347222e+03, 5.95212963e+02, 1.71420370e+03, 8.63981481e+01,\n        9.13333333e+01, 1.40277778e+01, 2.00740741e+01, 1.41705000e+04,\n        6.75925926e+01],\n       [1.81323468e+03, 1.28716592e+03, 4.91044843e+02, 2.53094170e+01,\n        5.34708520e+01, 2.18854858e+03, 5.95458894e+02, 1.03957085e+04,\n        4.31136472e+03, 5.41982063e+02, 1.28033632e+03, 7.04424514e+01,\n        7.78251121e+01, 1.40997010e+01, 2.31748879e+01, 8.93204634e+03,\n        6.50926756e+01]])"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 5. Evaluation\n",
        "\n",
        "Evaluating clustering is challenging without actual labels. For this exercise, we have the luxury of labels to assess our clusters, a privilege often absent in real-world scenarios.\n",
        "\n",
        "Here, we add a column to the df, assigning 1 for Private schools and 0 for public ones. Essentially, a binary representation."
      ],
      "metadata": {
        "id": "RXuE9QA0XqM1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data['private'] = data.private.astype(\"category\").cat.codes"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-08-07T23:27:04.075926Z",
          "iopub.execute_input": "2023-08-07T23:27:04.077993Z",
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        "trusted": true,
        "id": "VtupgjGPXqM1"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Now look at datatype for private column. It's now an int8."
      ],
      "metadata": {
        "id": "NwpF8M3_XqM1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "data.private"
      ],
      "metadata": {
        "execution": {
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          "shell.execute_reply": "2023-08-07T23:27:04.098171Z"
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        "trusted": true,
        "id": "iS0-CclfXqM2",
        "outputId": "48723120-ad09-4d57-acf0-2e9e5614e943"
      },
      "execution_count": null,
      "outputs": [
        {
          "execution_count": 18,
          "output_type": "execute_result",
          "data": {
            "text/plain": "0      1\n1      1\n2      1\n3      1\n4      1\n      ..\n772    0\n773    1\n774    1\n775    1\n776    1\nName: private, Length: 777, dtype: int8"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data['private'].value_counts()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-08-07T23:27:04.099850Z",
          "iopub.execute_input": "2023-08-07T23:27:04.100894Z",
          "iopub.status.idle": "2023-08-07T23:27:04.114174Z",
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          "shell.execute_reply": "2023-08-07T23:27:04.113449Z"
        },
        "trusted": true,
        "id": "0Xgg1QmIXqM2",
        "outputId": "1babbb73-efcf-4f9a-e5fd-50236beb7da8"
      },
      "execution_count": null,
      "outputs": [
        {
          "execution_count": 19,
          "output_type": "execute_result",
          "data": {
            "text/plain": "1    565\n0    212\nName: private, dtype: int64"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.head()"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-08-07T23:27:04.115170Z",
          "iopub.execute_input": "2023-08-07T23:27:04.116036Z",
          "iopub.status.idle": "2023-08-07T23:27:04.133281Z",
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          "shell.execute_reply": "2023-08-07T23:27:04.132492Z"
        },
        "trusted": true,
        "id": "vp9Oz-LpXqM2",
        "outputId": "45a3b390-b6ca-4bfa-8347-330b322591c1"
      },
      "execution_count": null,
      "outputs": [
        {
          "execution_count": 20,
          "output_type": "execute_result",
          "data": {
            "text/plain": "   private  apps  accept  enroll  top10perc  top25perc  f_undergrad  \\\n0        1  1660    1232     721         23         52         2885   \n1        1  2186    1924     512         16         29         2683   \n2        1  1428    1097     336         22         50         1036   \n3        1   417     349     137         60         89          510   \n4        1   193     146      55         16         44          249   \n\n   p_undergrad  outstate  room_board  books  personal  phd  terminal  \\\n0          537      7440        3300    450      2200   70        78   \n1         1227     12280        6450    750      1500   29        30   \n2           99     11250        3750    400      1165   53        66   \n3           63     12960        5450    450       875   92        97   \n4          869      7560        4120    800      1500   76        72   \n\n   s_f_ratio  perc_alumni  expend  grad_rate  \n0      18.10           12    7041         60  \n1      12.20           16   10527         56  \n2      12.90           30    8735         54  \n3       7.70           37   19016         59  \n4      11.90            2   10922         15  ",
            "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>private</th>\n      <th>apps</th>\n      <th>accept</th>\n      <th>enroll</th>\n      <th>top10perc</th>\n      <th>top25perc</th>\n      <th>f_undergrad</th>\n      <th>p_undergrad</th>\n      <th>outstate</th>\n      <th>room_board</th>\n      <th>books</th>\n      <th>personal</th>\n      <th>phd</th>\n      <th>terminal</th>\n      <th>s_f_ratio</th>\n      <th>perc_alumni</th>\n      <th>expend</th>\n      <th>grad_rate</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>1660</td>\n      <td>1232</td>\n      <td>721</td>\n      <td>23</td>\n      <td>52</td>\n      <td>2885</td>\n      <td>537</td>\n      <td>7440</td>\n      <td>3300</td>\n      <td>450</td>\n      <td>2200</td>\n      <td>70</td>\n      <td>78</td>\n      <td>18.10</td>\n      <td>12</td>\n      <td>7041</td>\n      <td>60</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1</td>\n      <td>2186</td>\n      <td>1924</td>\n      <td>512</td>\n      <td>16</td>\n      <td>29</td>\n      <td>2683</td>\n      <td>1227</td>\n      <td>12280</td>\n      <td>6450</td>\n      <td>750</td>\n      <td>1500</td>\n      <td>29</td>\n      <td>30</td>\n      <td>12.20</td>\n      <td>16</td>\n      <td>10527</td>\n      <td>56</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1</td>\n      <td>1428</td>\n      <td>1097</td>\n      <td>336</td>\n      <td>22</td>\n      <td>50</td>\n      <td>1036</td>\n      <td>99</td>\n      <td>11250</td>\n      <td>3750</td>\n      <td>400</td>\n      <td>1165</td>\n      <td>53</td>\n      <td>66</td>\n      <td>12.90</td>\n      <td>30</td>\n      <td>8735</td>\n      <td>54</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1</td>\n      <td>417</td>\n      <td>349</td>\n      <td>137</td>\n      <td>60</td>\n      <td>89</td>\n      <td>510</td>\n      <td>63</td>\n      <td>12960</td>\n      <td>5450</td>\n      <td>450</td>\n      <td>875</td>\n      <td>92</td>\n      <td>97</td>\n      <td>7.70</td>\n      <td>37</td>\n      <td>19016</td>\n      <td>59</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1</td>\n      <td>193</td>\n      <td>146</td>\n      <td>55</td>\n      <td>16</td>\n      <td>44</td>\n      <td>249</td>\n      <td>869</td>\n      <td>7560</td>\n      <td>4120</td>\n      <td>800</td>\n      <td>1500</td>\n      <td>76</td>\n      <td>72</td>\n      <td>11.90</td>\n      <td>2</td>\n      <td>10922</td>\n      <td>15</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "kmeans.labels_ returns an array of integers representing the cluster assignments for each data point in the dataset that was fit using the KMeans algorithm."
      ],
      "metadata": {
        "id": "yJbzWDfgXqM2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "kmeans.labels_"
      ],
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        "execution": {
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        "outputId": "ad375389-8adb-41fc-e3bc-4dc8d649597f"
      },
      "execution_count": null,
      "outputs": [
        {
          "execution_count": 21,
          "output_type": "execute_result",
          "data": {
            "text/plain": "array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0,\n       1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1,\n       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1,\n       1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0,\n       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n       1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n       1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n       1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1,\n       0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1,\n       1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0,\n       1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n       1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1,\n       1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1,\n       1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1,\n       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n       1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1,\n       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1,\n       0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0, 1, 1, 1,\n       1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0,\n       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0,\n       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n       1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n       1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1,\n       1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n       1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1,\n       1, 1, 1, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0,\n       1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 0, 1, 1,\n       0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1,\n       1, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1,\n       1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1,\n       1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1,\n       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n       1, 1, 1, 1, 1, 0, 1], dtype=int32)"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Create a confusion matrix and classification report to see how well the Kmeans clustering worked without being given any labels."
      ],
      "metadata": {
        "id": "UpsvX_n3XqM2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "print(confusion_matrix(data.private, kmeans.labels_))\n",
        "print(classification_report(data.private, kmeans.labels_))"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-08-07T23:27:04.145067Z",
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        },
        "trusted": true,
        "id": "f9p97KnCXqM2",
        "outputId": "c76e6449-777b-4f4a-ee95-4203b3bb7207"
      },
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "text": "[[ 74 138]\n [ 34 531]]\n              precision    recall  f1-score   support\n\n           0       0.69      0.35      0.46       212\n           1       0.79      0.94      0.86       565\n\n    accuracy                           0.78       777\n   macro avg       0.74      0.64      0.66       777\nweighted avg       0.76      0.78      0.75       777\n\n",
          "output_type": "stream"
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import accuracy_score, confusion_matrix\n",
        "\n",
        "print(accuracy_score(data.private, kmeans.labels_))\n",
        "print(pd.DataFrame(classification_report(data.private, kmeans.labels_, output_dict=True)))"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-08-07T23:27:04.166783Z",
          "iopub.execute_input": "2023-08-07T23:27:04.167333Z",
          "iopub.status.idle": "2023-08-07T23:27:04.184890Z",
          "shell.execute_reply.started": "2023-08-07T23:27:04.167303Z",
          "shell.execute_reply": "2023-08-07T23:27:04.183757Z"
        },
        "trusted": true,
        "id": "TPLfvueGXqM2",
        "outputId": "ff07d116-153e-4d7e-ebe9-ffc97a1f8f78"
      },
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "text": "0.7786357786357786\n               0      1  accuracy  macro avg  weighted avg\nprecision   0.69   0.79      0.78       0.74          0.76\nrecall      0.35   0.94      0.78       0.64          0.78\nf1-score    0.46   0.86      0.78       0.66          0.75\nsupport   212.00 565.00      0.78     777.00        777.00\n",
          "output_type": "stream"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 6. Scaling the data\n",
        "\n",
        "The provided code segment standardizes the dataset, applies the KMeans clustering algorithm to identify two clusters, and then prints the centers of these clusters."
      ],
      "metadata": {
        "id": "Bemk867EXqM2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.preprocessing import StandardScaler\n",
        "\n",
        "scalar = StandardScaler()\n",
        "\n",
        "X = data.drop('private', axis=1)\n",
        "y = data.private\n",
        "\n",
        "X = scalar.fit_transform(X)\n",
        "\n",
        "kmeans = KMeans(2)\n",
        "kmeans.fit(X)\n",
        "\n",
        "print(kmeans.cluster_centers_)"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-08-07T23:27:04.186258Z",
          "iopub.execute_input": "2023-08-07T23:27:04.186920Z",
          "iopub.status.idle": "2023-08-07T23:27:07.108894Z",
          "shell.execute_reply.started": "2023-08-07T23:27:04.186882Z",
          "shell.execute_reply": "2023-08-07T23:27:07.108092Z"
        },
        "trusted": true,
        "id": "ChnkJFWlXqM2",
        "outputId": "282c36b5-0cec-4066-ec3f-266cadb1cdea"
      },
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "text": "[[ 0.54548844  0.50988814  0.41992248  0.83361106  0.83951561  0.36917718\n   0.06427689  0.76478882  0.6226721   0.20329475 -0.08142105  0.81940114\n   0.80008284 -0.39387442  0.51295406  0.70919469  0.60419735]\n [-0.32661962 -0.30530339 -0.25143507 -0.49913749 -0.50267293 -0.22105053\n  -0.03848678 -0.45792911 -0.37283453 -0.12172587  0.04875211 -0.49062908\n  -0.47906195  0.23583839 -0.30713916 -0.42464126 -0.36177249]]\n",
          "output_type": "stream"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Considering the algorithm is purely using the features to cluster the universities into 2 distinct groups, it works pretty well! We see how K Means is useful for clustering un-labeled data!\n",
        "\n",
        "While you can technically compute a classification report for KMeans when you have true labels, it doesn't provide a meaningful or consistent measure of cluster quality. Other metrics, like silhouette score or inertia, are often more informative for evaluating the quality of clusters created by KMeans."
      ],
      "metadata": {
        "id": "YpJ-tEIkXqM2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "print(accuracy_score(y, kmeans.labels_))\n",
        "print(confusion_matrix(y, kmeans.labels_))"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-08-07T23:27:07.109916Z",
          "iopub.execute_input": "2023-08-07T23:27:07.110753Z",
          "iopub.status.idle": "2023-08-07T23:27:07.118309Z",
          "shell.execute_reply.started": "2023-08-07T23:27:07.110720Z",
          "shell.execute_reply": "2023-08-07T23:27:07.117580Z"
        },
        "trusted": true,
        "id": "X9SdC-dUXqM2",
        "outputId": "15939b76-79a2-4178-91c7-fc9c22cb0ddf"
      },
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "text": "0.5225225225225225\n[[ 66 146]\n [225 340]]\n",
          "output_type": "stream"
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(classification_report(y, kmeans.labels_))"
      ],
      "metadata": {
        "execution": {
          "iopub.status.busy": "2023-08-07T23:27:07.119295Z",
          "iopub.execute_input": "2023-08-07T23:27:07.120078Z",
          "iopub.status.idle": "2023-08-07T23:27:07.142552Z",
          "shell.execute_reply.started": "2023-08-07T23:27:07.120047Z",
          "shell.execute_reply": "2023-08-07T23:27:07.141673Z"
        },
        "trusted": true,
        "id": "s3rXKGZuXqM3",
        "outputId": "ed0d513c-0f22-4900-c5ad-a511ed79e6ca"
      },
      "execution_count": null,
      "outputs": [
        {
          "name": "stdout",
          "text": "              precision    recall  f1-score   support\n\n           0       0.23      0.31      0.26       212\n           1       0.70      0.60      0.65       565\n\n    accuracy                           0.52       777\n   macro avg       0.46      0.46      0.45       777\nweighted avg       0.57      0.52      0.54       777\n\n",
          "output_type": "stream"
        }
      ]
    }
  ]
}