{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyPGz4x6kY/xNjBFm5+B6jkT"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"uACAEWuG62Jy","executionInfo":{"status":"ok","timestamp":1783651528227,"user_tz":-330,"elapsed":27314,"user":{"displayName":"Jigar","userId":"06260520967747452584"}},"outputId":"23acfb92-0a22-498d-9330-50c66abb7ba1"},"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}],"source":["from google.colab import drive\n","\n","drive.mount('/content/drive')"]},{"cell_type":"code","source":["import pandas as pd\n","import numpy as np\n","\n","import matplotlib.pyplot as plt\n","\n","from sklearn.model_selection import train_test_split\n","\n","from sklearn.ensemble import RandomForestClassifier\n","\n","from sklearn.metrics import accuracy_score\n","from sklearn.metrics import classification_report\n","from sklearn.metrics import confusion_matrix\n","\n","import seaborn as sns\n","\n","import joblib"],"metadata":{"id":"nRYxdgEG68ak","executionInfo":{"status":"ok","timestamp":1783651531856,"user_tz":-330,"elapsed":3611,"user":{"displayName":"Jigar","userId":"06260520967747452584"}}},"execution_count":2,"outputs":[]},{"cell_type":"code","source":["path = \"/content/drive/MyDrive/placement_prediction/student_placement.csv\"\n","\n","df = pd.read_csv(path)\n","\n","df.head()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"id":"3EL5bOrX6_h0","executionInfo":{"status":"ok","timestamp":1783651533265,"user_tz":-330,"elapsed":1398,"user":{"displayName":"Jigar","userId":"06260520967747452584"}},"outputId":"45238559-2693-49eb-93be-b6f8f822713b"},"execution_count":3,"outputs":[{"output_type":"execute_result","data":{"text/plain":["   CGPA  Internships  Projects  CodingSkills  Communication  Backlogs  \\\n","0  6.87            1         3             3              3         0   \n","1  9.75            0         2             1              2         3   \n","2  8.66            0         0             6              3         1   \n","3  7.99            0         1             6              2         2   \n","4  5.78            3         4             4             10         3   \n","\n","   Attendance  Certifications Placement  \n","0          89               5       Yes  \n","1          85               0        No  \n","2          57               0       Yes  \n","3          51               0        No  \n","4          79               4       Yes  "],"text/html":["\n","  <div id=\"df-e38989d5-18ac-4585-be35-483d015f1b05\" class=\"colab-df-container\">\n","    <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","  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   <tr>\n","      <th>2</th>\n","      <td>8.66</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>6</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>57</td>\n","      <td>0</td>\n","      <td>Yes</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>7.99</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>6</td>\n","      <td>2</td>\n","      <td>2</td>\n","      <td>51</td>\n","      <td>0</td>\n","      <td>No</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5.78</td>\n","      <td>3</td>\n","      <td>4</td>\n","      <td>4</td>\n","      <td>10</td>\n","      <td>3</td>\n","      <td>79</td>\n","      <td>4</td>\n","      <td>Yes</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","    <div class=\"colab-df-buttons\">\n","\n","  <div class=\"colab-df-container\">\n","    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e38989d5-18ac-4585-be35-483d015f1b05')\"\n","            title=\"Convert 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[\n          5.4,\n          5.32,\n          5.62\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Internships\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 0,\n        \"max\": 4,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0,\n          4,\n          3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Projects\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 0,\n        \"max\": 7,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          2,\n          7,\n          3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"CodingSkills\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 1,\n        \"max\": 10,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          5,\n          1,\n          8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Communication\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 1,\n        \"max\": 10,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          5,\n          2,\n          7\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Backlogs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 0,\n        \"max\": 4,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          3,\n          4,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Attendance\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14,\n        \"min\": 50,\n        \"max\": 100,\n        \"num_unique_values\": 51,\n        \"samples\": [\n          88,\n          56,\n          87\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Certifications\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 0,\n        \"max\": 5,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          5,\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Placement\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"No\",\n          \"Yes\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"}},"metadata":{},"execution_count":3}]},{"cell_type":"code","source":["df.shape"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"PVzvcIBu7U2W","executionInfo":{"status":"ok","timestamp":1783651533287,"user_tz":-330,"elapsed":20,"user":{"displayName":"Jigar","userId":"06260520967747452584"}},"outputId":"166b573c-9b8c-4b4c-e0b6-f722478cd606"},"execution_count":4,"outputs":[{"output_type":"execute_result","data":{"text/plain":["(100000, 9)"]},"metadata":{},"execution_count":4}]},{"cell_type":"code","source":["df.info()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"75JejTDj7XMF","executionInfo":{"status":"ok","timestamp":1783651533319,"user_tz":-330,"elapsed":15,"user":{"displayName":"Jigar","userId":"06260520967747452584"}},"outputId":"9212577a-ba65-4b2c-dafe-9fee67f81ce5"},"execution_count":5,"outputs":[{"output_type":"stream","name":"stdout","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 100000 entries, 0 to 99999\n","Data columns (total 9 columns):\n"," #   Column          Non-Null Count   Dtype  \n","---  ------          --------------   -----  \n"," 0   CGPA            100000 non-null  float64\n"," 1   Internships     100000 non-null  int64  \n"," 2   Projects        100000 non-null  int64  \n"," 3   CodingSkills    100000 non-null  int64  \n"," 4   Communication   100000 non-null  int64  \n"," 5   Backlogs        100000 non-null  int64  \n"," 6   Attendance      100000 non-null  int64  \n"," 7   Certifications  100000 non-null  int64  \n"," 8   Placement       100000 non-null  object \n","dtypes: float64(1), int64(7), object(1)\n","memory usage: 6.9+ MB\n"]}]},{"cell_type":"code","source":["plt.figure(figsize=(6,4))\n","\n","sns.countplot(\n","    x=\"Placement\",\n","    data=df\n",")\n","\n","plt.title(\"Placement Distribution\")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":410},"id":"bIUngnCZ7Y4c","executionInfo":{"status":"ok","timestamp":1783651533915,"user_tz":-330,"elapsed":594,"user":{"displayName":"Jigar","userId":"06260520967747452584"}},"outputId":"da09c59a-c716-4b60-ddfa-a6092232ba40"},"execution_count":6,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 600x400 with 1 Axes>"],"image/png":"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[\n          5.4,\n          5.32,\n          5.62\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Internships\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 0,\n        \"max\": 4,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0,\n          4,\n          3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Projects\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 0,\n        \"max\": 7,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          2,\n          7,\n          3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"CodingSkills\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 1,\n        \"max\": 10,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          5,\n          1,\n          8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Communication\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2,\n        \"min\": 1,\n        \"max\": 10,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          5,\n          2,\n          7\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Backlogs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 0,\n        \"max\": 4,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          3,\n          4,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Attendance\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14,\n        \"min\": 50,\n        \"max\": 100,\n        \"num_unique_values\": 51,\n        \"samples\": [\n          88,\n          56,\n          87\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Certifications\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 0,\n        \"max\": 5,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          5,\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Placement\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"}},"metadata":{},"execution_count":8}]},{"cell_type":"code","source":["X = df.drop(\n","    \"Placement\",\n","    axis=1\n",")"],"metadata":{"id":"yJTtFaKT-Msg","executionInfo":{"status":"ok","timestamp":1783651534015,"user_tz":-330,"elapsed":48,"user":{"displayName":"Jigar","userId":"06260520967747452584"}}},"execution_count":9,"outputs":[]},{"cell_type":"code","source":["y = df[\"Placement\"]"],"metadata":{"id":"8bxWln0p-QMP","executionInfo":{"status":"ok","timestamp":1783651534017,"user_tz":-330,"elapsed":30,"user":{"displayName":"Jigar","userId":"06260520967747452584"}}},"execution_count":10,"outputs":[]},{"cell_type":"code","source":["X_train, X_test, y_train, y_test = train_test_split(\n","    X,\n","    y,\n","    test_size=0.2,\n","    random_state=42\n",")"],"metadata":{"id":"rbZ58NfU-Rq4","executionInfo":{"status":"ok","timestamp":1783651534018,"user_tz":-330,"elapsed":20,"user":{"displayName":"Jigar","userId":"06260520967747452584"}}},"execution_count":11,"outputs":[]},{"cell_type":"code","source":["print(X_train.shape)\n","print(X_test.shape)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"t_NuYIDQ-U8h","executionInfo":{"status":"ok","timestamp":1783651534020,"user_tz":-330,"elapsed":20,"user":{"displayName":"Jigar","userId":"06260520967747452584"}},"outputId":"75835992-89a1-42e9-e51c-a3c8c99267bf"},"execution_count":12,"outputs":[{"output_type":"stream","name":"stdout","text":["(80000, 8)\n","(20000, 8)\n"]}]},{"cell_type":"code","source":["model = RandomForestClassifier(\n","    n_estimators=200,\n","    random_state=42,\n","    n_jobs=-1\n",")"],"metadata":{"id":"mf4Nvo2T-ZiQ","executionInfo":{"status":"ok","timestamp":1783651534104,"user_tz":-330,"elapsed":83,"user":{"displayName":"Jigar","userId":"06260520967747452584"}}},"execution_count":13,"outputs":[]},{"cell_type":"code","source":["model.fit(\n","    X_train,\n","    y_train\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":80},"id":"uSbIqeMT-b04","executionInfo":{"status":"ok","timestamp":1783651550602,"user_tz":-330,"elapsed":16488,"user":{"displayName":"Jigar","userId":"06260520967747452584"}},"outputId":"1c42e200-dc0e-4e95-c89c-f38915137185"},"execution_count":14,"outputs":[{"output_type":"execute_result","data":{"text/plain":["RandomForestClassifier(n_estimators=200, n_jobs=-1, random_state=42)"],"text/html":["<style>#sk-container-id-1 {\n","  /* Definition of color scheme common for light and dark mode */\n","  --sklearn-color-text: #000;\n","  --sklearn-color-text-muted: #666;\n","  --sklearn-color-line: gray;\n","  /* Definition of color scheme for unfitted estimators */\n","  --sklearn-color-unfitted-level-0: #fff5e6;\n","  --sklearn-color-unfitted-level-1: #f6e4d2;\n","  --sklearn-color-unfitted-level-2: #ffe0b3;\n","  --sklearn-color-unfitted-level-3: chocolate;\n","  /* Definition of color scheme for fitted estimators */\n","  --sklearn-color-fitted-level-0: #f0f8ff;\n","  --sklearn-color-fitted-level-1: #d4ebff;\n","  --sklearn-color-fitted-level-2: #b3dbfd;\n","  --sklearn-color-fitted-level-3: cornflowerblue;\n","\n","  /* Specific color for light theme */\n","  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n","  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n","  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n","  --sklearn-color-icon: #696969;\n","\n","  @media (prefers-color-scheme: dark) {\n","    /* Redefinition of color scheme for dark theme */\n","    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n","    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n","    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n","    --sklearn-color-icon: #878787;\n","  }\n","}\n","\n","#sk-container-id-1 {\n","  color: var(--sklearn-color-text);\n","}\n","\n","#sk-container-id-1 pre {\n","  padding: 0;\n","}\n","\n","#sk-container-id-1 input.sk-hidden--visually {\n","  border: 0;\n","  clip: rect(1px 1px 1px 1px);\n","  clip: rect(1px, 1px, 1px, 1px);\n","  height: 1px;\n","  margin: -1px;\n","  overflow: hidden;\n","  padding: 0;\n","  position: absolute;\n","  width: 1px;\n","}\n","\n","#sk-container-id-1 div.sk-dashed-wrapped {\n","  border: 1px dashed var(--sklearn-color-line);\n","  margin: 0 0.4em 0.5em 0.4em;\n","  box-sizing: border-box;\n","  padding-bottom: 0.4em;\n","  background-color: var(--sklearn-color-background);\n","}\n","\n","#sk-container-id-1 div.sk-container {\n","  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n","     but bootstrap.min.css set `[hidden] { display: none !important; }`\n","     so we also need the `!important` here to be able to override the\n","     default hidden behavior on the sphinx rendered scikit-learn.org.\n","     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n","  display: inline-block !important;\n","  position: relative;\n","}\n","\n","#sk-container-id-1 div.sk-text-repr-fallback {\n","  display: none;\n","}\n","\n","div.sk-parallel-item,\n","div.sk-serial,\n","div.sk-item {\n","  /* draw centered vertical line to link estimators */\n","  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n","  background-size: 2px 100%;\n","  background-repeat: no-repeat;\n","  background-position: center center;\n","}\n","\n","/* Parallel-specific style estimator block */\n","\n","#sk-container-id-1 div.sk-parallel-item::after {\n","  content: \"\";\n","  width: 100%;\n","  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n","  flex-grow: 1;\n","}\n","\n","#sk-container-id-1 div.sk-parallel {\n","  display: flex;\n","  align-items: stretch;\n","  justify-content: center;\n","  background-color: var(--sklearn-color-background);\n","  position: relative;\n","}\n","\n","#sk-container-id-1 div.sk-parallel-item {\n","  display: flex;\n","  flex-direction: column;\n","}\n","\n","#sk-container-id-1 div.sk-parallel-item:first-child::after {\n","  align-self: flex-end;\n","  width: 50%;\n","}\n","\n","#sk-container-id-1 div.sk-parallel-item:last-child::after {\n","  align-self: flex-start;\n","  width: 50%;\n","}\n","\n","#sk-container-id-1 div.sk-parallel-item:only-child::after {\n","  width: 0;\n","}\n","\n","/* Serial-specific style estimator block */\n","\n","#sk-container-id-1 div.sk-serial {\n","  display: flex;\n","  flex-direction: column;\n","  align-items: center;\n","  background-color: var(--sklearn-color-background);\n","  padding-right: 1em;\n","  padding-left: 1em;\n","}\n","\n","\n","/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n","clickable and can be expanded/collapsed.\n","- Pipeline and ColumnTransformer use this feature and define the default style\n","- Estimators will overwrite some part of the style using the `sk-estimator` class\n","*/\n","\n","/* Pipeline and ColumnTransformer style (default) */\n","\n","#sk-container-id-1 div.sk-toggleable {\n","  /* Default theme specific background. It is overwritten whether we have a\n","  specific estimator or a Pipeline/ColumnTransformer */\n","  background-color: var(--sklearn-color-background);\n","}\n","\n","/* Toggleable label */\n","#sk-container-id-1 label.sk-toggleable__label {\n","  cursor: pointer;\n","  display: flex;\n","  width: 100%;\n","  margin-bottom: 0;\n","  padding: 0.5em;\n","  box-sizing: border-box;\n","  text-align: center;\n","  align-items: start;\n","  justify-content: space-between;\n","  gap: 0.5em;\n","}\n","\n","#sk-container-id-1 label.sk-toggleable__label .caption {\n","  font-size: 0.6rem;\n","  font-weight: lighter;\n","  color: var(--sklearn-color-text-muted);\n","}\n","\n","#sk-container-id-1 label.sk-toggleable__label-arrow:before {\n","  /* Arrow on the left of the label */\n","  content: \"▸\";\n","  float: left;\n","  margin-right: 0.25em;\n","  color: var(--sklearn-color-icon);\n","}\n","\n","#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {\n","  color: var(--sklearn-color-text);\n","}\n","\n","/* Toggleable content - dropdown */\n","\n","#sk-container-id-1 div.sk-toggleable__content {\n","  max-height: 0;\n","  max-width: 0;\n","  overflow: hidden;\n","  text-align: left;\n","  /* unfitted */\n","  background-color: var(--sklearn-color-unfitted-level-0);\n","}\n","\n","#sk-container-id-1 div.sk-toggleable__content.fitted {\n","  /* fitted */\n","  background-color: var(--sklearn-color-fitted-level-0);\n","}\n","\n","#sk-container-id-1 div.sk-toggleable__content pre {\n","  margin: 0.2em;\n","  border-radius: 0.25em;\n","  color: var(--sklearn-color-text);\n","  /* unfitted */\n","  background-color: var(--sklearn-color-unfitted-level-0);\n","}\n","\n","#sk-container-id-1 div.sk-toggleable__content.fitted pre {\n","  /* unfitted */\n","  background-color: var(--sklearn-color-fitted-level-0);\n","}\n","\n","#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n","  /* Expand drop-down */\n","  max-height: 200px;\n","  max-width: 100%;\n","  overflow: auto;\n","}\n","\n","#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n","  content: \"▾\";\n","}\n","\n","/* Pipeline/ColumnTransformer-specific style */\n","\n","#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n","  color: var(--sklearn-color-text);\n","  background-color: var(--sklearn-color-unfitted-level-2);\n","}\n","\n","#sk-container-id-1 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n","  background-color: var(--sklearn-color-fitted-level-2);\n","}\n","\n","/* Estimator-specific style */\n","\n","/* Colorize estimator box */\n","#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n","  /* unfitted */\n","  background-color: var(--sklearn-color-unfitted-level-2);\n","}\n","\n","#sk-container-id-1 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n","  /* fitted */\n","  background-color: var(--sklearn-color-fitted-level-2);\n","}\n","\n","#sk-container-id-1 div.sk-label label.sk-toggleable__label,\n","#sk-container-id-1 div.sk-label label {\n","  /* The background is the default theme color */\n","  color: var(--sklearn-color-text-on-default-background);\n","}\n","\n","/* On hover, darken the color of the background */\n","#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {\n","  color: var(--sklearn-color-text);\n","  background-color: var(--sklearn-color-unfitted-level-2);\n","}\n","\n","/* Label box, darken color on hover, fitted */\n","#sk-container-id-1 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n","  color: var(--sklearn-color-text);\n","  background-color: var(--sklearn-color-fitted-level-2);\n","}\n","\n","/* Estimator label */\n","\n","#sk-container-id-1 div.sk-label label {\n","  font-family: monospace;\n","  font-weight: bold;\n","  display: inline-block;\n","  line-height: 1.2em;\n","}\n","\n","#sk-container-id-1 div.sk-label-container {\n","  text-align: center;\n","}\n","\n","/* Estimator-specific */\n","#sk-container-id-1 div.sk-estimator {\n","  font-family: monospace;\n","  border: 1px dotted var(--sklearn-color-border-box);\n","  border-radius: 0.25em;\n","  box-sizing: border-box;\n","  margin-bottom: 0.5em;\n","  /* unfitted */\n","  background-color: var(--sklearn-color-unfitted-level-0);\n","}\n","\n","#sk-container-id-1 div.sk-estimator.fitted {\n","  /* fitted */\n","  background-color: var(--sklearn-color-fitted-level-0);\n","}\n","\n","/* on hover */\n","#sk-container-id-1 div.sk-estimator:hover {\n","  /* unfitted */\n","  background-color: var(--sklearn-color-unfitted-level-2);\n","}\n","\n","#sk-container-id-1 div.sk-estimator.fitted:hover {\n","  /* fitted */\n","  background-color: var(--sklearn-color-fitted-level-2);\n","}\n","\n","/* Specification for estimator info (e.g. \"i\" and \"?\") */\n","\n","/* Common style for \"i\" and \"?\" */\n","\n",".sk-estimator-doc-link,\n","a:link.sk-estimator-doc-link,\n","a:visited.sk-estimator-doc-link {\n","  float: right;\n","  font-size: smaller;\n","  line-height: 1em;\n","  font-family: monospace;\n","  background-color: var(--sklearn-color-background);\n","  border-radius: 1em;\n","  height: 1em;\n","  width: 1em;\n","  text-decoration: none !important;\n","  margin-left: 0.5em;\n","  text-align: center;\n","  /* unfitted */\n","  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n","  color: var(--sklearn-color-unfitted-level-1);\n","}\n","\n",".sk-estimator-doc-link.fitted,\n","a:link.sk-estimator-doc-link.fitted,\n","a:visited.sk-estimator-doc-link.fitted {\n","  /* fitted */\n","  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n","  color: var(--sklearn-color-fitted-level-1);\n","}\n","\n","/* On hover */\n","div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",".sk-estimator-doc-link:hover,\n","div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",".sk-estimator-doc-link:hover {\n","  /* unfitted */\n","  background-color: var(--sklearn-color-unfitted-level-3);\n","  color: var(--sklearn-color-background);\n","  text-decoration: none;\n","}\n","\n","div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",".sk-estimator-doc-link.fitted:hover,\n","div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",".sk-estimator-doc-link.fitted:hover {\n","  /* fitted */\n","  background-color: var(--sklearn-color-fitted-level-3);\n","  color: var(--sklearn-color-background);\n","  text-decoration: none;\n","}\n","\n","/* Span, style for the box shown on hovering the info icon */\n",".sk-estimator-doc-link span {\n","  display: none;\n","  z-index: 9999;\n","  position: relative;\n","  font-weight: normal;\n","  right: .2ex;\n","  padding: .5ex;\n","  margin: .5ex;\n","  width: min-content;\n","  min-width: 20ex;\n","  max-width: 50ex;\n","  color: var(--sklearn-color-text);\n","  box-shadow: 2pt 2pt 4pt #999;\n","  /* unfitted */\n","  background: var(--sklearn-color-unfitted-level-0);\n","  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n","}\n","\n",".sk-estimator-doc-link.fitted span {\n","  /* fitted */\n","  background: var(--sklearn-color-fitted-level-0);\n","  border: var(--sklearn-color-fitted-level-3);\n","}\n","\n",".sk-estimator-doc-link:hover span {\n","  display: block;\n","}\n","\n","/* \"?\"-specific style due to the `<a>` HTML tag */\n","\n","#sk-container-id-1 a.estimator_doc_link {\n","  float: right;\n","  font-size: 1rem;\n","  line-height: 1em;\n","  font-family: monospace;\n","  background-color: var(--sklearn-color-background);\n","  border-radius: 1rem;\n","  height: 1rem;\n","  width: 1rem;\n","  text-decoration: none;\n","  /* unfitted */\n","  color: var(--sklearn-color-unfitted-level-1);\n","  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n","}\n","\n","#sk-container-id-1 a.estimator_doc_link.fitted {\n","  /* fitted */\n","  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n","  color: var(--sklearn-color-fitted-level-1);\n","}\n","\n","/* On hover */\n","#sk-container-id-1 a.estimator_doc_link:hover {\n","  /* unfitted */\n","  background-color: var(--sklearn-color-unfitted-level-3);\n","  color: var(--sklearn-color-background);\n","  text-decoration: none;\n","}\n","\n","#sk-container-id-1 a.estimator_doc_link.fitted:hover {\n","  /* fitted */\n","  background-color: var(--sklearn-color-fitted-level-3);\n","}\n","</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestClassifier(n_estimators=200, n_jobs=-1, random_state=42)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow\"><div><div>RandomForestClassifier</div></div><div><a class=\"sk-estimator-doc-link fitted\" rel=\"noreferrer\" target=\"_blank\" href=\"https://scikit-learn.org/1.6/modules/generated/sklearn.ensemble.RandomForestClassifier.html\">?<span>Documentation for RandomForestClassifier</span></a><span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></div></label><div class=\"sk-toggleable__content fitted\"><pre>RandomForestClassifier(n_estimators=200, n_jobs=-1, random_state=42)</pre></div> </div></div></div></div>"]},"metadata":{},"execution_count":14}]},{"cell_type":"code","source":["y_pred = model.predict(\n","    X_test\n",")"],"metadata":{"id":"QElwFkz0-dtQ","executionInfo":{"status":"ok","timestamp":1783651551269,"user_tz":-330,"elapsed":647,"user":{"displayName":"Jigar","userId":"06260520967747452584"}}},"execution_count":15,"outputs":[]},{"cell_type":"code","source":["accuracy = accuracy_score(\n","    y_test,\n","    y_pred\n",")\n","\n","\n","print(\n","    \"Model Accuracy:\",\n","    accuracy*100,\n","    \"%\"\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"DP2Cbu52-fgA","executionInfo":{"status":"ok","timestamp":1783651551285,"user_tz":-330,"elapsed":6,"user":{"displayName":"Jigar","userId":"06260520967747452584"}},"outputId":"acd7eecd-7368-443b-8e91-8dbd7b22070e"},"execution_count":16,"outputs":[{"output_type":"stream","name":"stdout","text":["Model Accuracy: 85.705 %\n"]}]},{"cell_type":"code","source":["print(\n","    classification_report(\n","        y_test,\n","        y_pred\n","    )\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"HRdDk-U1-h5Y","executionInfo":{"status":"ok","timestamp":1783651551312,"user_tz":-330,"elapsed":17,"user":{"displayName":"Jigar","userId":"06260520967747452584"}},"outputId":"af922325-7944-419d-8dec-d27533574fa4"},"execution_count":17,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.77      0.67      0.72      5404\n","           1       0.88      0.93      0.90     14596\n","\n","    accuracy                           0.86     20000\n","   macro avg       0.83      0.80      0.81     20000\n","weighted avg       0.85      0.86      0.85     20000\n","\n"]}]},{"cell_type":"code","source":["cm = confusion_matrix(\n","    y_test,\n","    y_pred\n",")\n","\n","\n","plt.figure(figsize=(5,4))\n","\n","sns.heatmap(\n","    cm,\n","    annot=True,\n","    fmt=\"d\"\n",")\n","\n","plt.xlabel(\"Predicted\")\n","\n","plt.ylabel(\"Actual\")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":388},"id":"P2OkJGAJ-nOA","executionInfo":{"status":"ok","timestamp":1783651551469,"user_tz":-330,"elapsed":156,"user":{"displayName":"Jigar","userId":"06260520967747452584"}},"outputId":"86b8e0fa-3e68-415a-fdc8-a55f6ef86795"},"execution_count":18,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 500x400 with 2 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAAc0AAAFzCAYAAABchVIYAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAO2xJREFUeJzt3X18T/Xj//HHe2wzY5vRNisXK2Iil8USpfZpIhHVR61aX8onNtfXCVMxTVeULF1NoaTiI4oWsTDDWC5iqY9cpPfQbLPFNtv794efd94h751dsfO8f27ndvM+r9c553X2Gc9er/N6nbfFZrPZEBERkctyqegGiIiIXC0UmiIiIk5SaIqIiDhJoSkiIuIkhaaIiIiTFJoiIiJOUmiKiIg4SaEpIiLiJIWmiIiIk6pWdAPKQs/691V0E8QkkrN/qegmiElYM/eU6vkKjv/P8LGuda4vxZZcXSplaIqIyGUUFVZ0C65KCk0RETOyFVV0C65KCk0RETMqUmgaoYlAIiIiTlJPU0TEhGwanjVEoSkiYkYanjVEoSkiYkbqaRqi0BQRMSMtOTFEoSkiYkbqaRqi2bMiIiJOUk9TRMSMNBHIEIWmiIgJacmJMQpNEREzUk/TEIWmiIgZqadpiEJTRMSMtOTEEM2eFRERcZJ6miIiZqThWUMUmiIiZqSJQIYoNEVEzEg9TUMUmiIiZqSepiEKTRERE7LZNHvWCM2eFRERcZJ6miIiZqRnmoYoNEVEzEjPNA1RaIqImJF6moYoNEVEzEiv0TNEoSkiYkbqaRqi2bMiIiJOUk9TRMSMNBHIEIWmiIgZaXjWEIWmiIgZqadpiEJTRMSMFJqGKDRFRExI7541RrNnRUSkzCQmJtKjRw8CAwOxWCwsXbrUXlZQUMDYsWNp0aIFnp6eBAYG8sQTT3DkyBGHc2RkZBAeHo6Xlxc+Pj7079+fnJwchzo7duygU6dOVKtWjXr16hEbG3tBWxYvXkzTpk2pVq0aLVq04Kuvvir2/Sg0RUTMqKjI+FYMubm5tGzZktmzZ19Q9ueff7Jt2zYmTpzItm3b+OKLL0hLS+P+++93qBceHs7u3btJSEhg+fLlJCYmMmDAAHt5dnY299xzDw0aNCAlJYUZM2YQHR3N3Llz7XU2btzII488Qv/+/dm+fTu9evWiV69e7Nq1q1j3Y7HZbLZiHXEV6Fn/vopugphEcvYvFd0EMQlr5p5SPd+p7941fKxHl6cMHWexWFiyZAm9evW6ZJ0tW7Zw6623cuDAAerXr8+ePXto1qwZW7ZsoV27dgCsXLmSbt26cfjwYQIDA5kzZw4TJkzAarXi5uYGwLhx41i6dCl79+4F4N///je5ubksX77cfq0OHTrQqlUr4uLinL4H9TRFRMyoBD3NvLw8srOzHba8vLxSaVZWVhYWiwUfHx8AkpKS8PHxsQcmQGhoKC4uLiQnJ9vrdO7c2R6YAGFhYaSlpXHixAl7ndDQUIdrhYWFkZSUVKz2KTRFRMzIVmR4i4mJwdvb22GLiYkpcZNOnz7N2LFjeeSRR/Dy8gLAarXi5+fnUK9q1ar4+vpitVrtdfz9/R3qnPt8uTrnyp2l2bMiImZUgiUn48ePZ8SIEQ773N3dS9ScgoICHn74YWw2G3PmzCnRucqSQlNERIrF3d29xCF5vnOBeeDAAdasWWPvZQIEBARw9OhRh/pnzpwhIyODgIAAe5309HSHOuc+X67OuXJnaXhWRMSMSjA8W5rOBea+ffv49ttvqV27tkN5SEgImZmZpKSk2PetWbOGoqIi2rdvb6+TmJhIQUGBvU5CQgJNmjShVq1a9jqrV692OHdCQgIhISHFaq9CU0TEjMppyUlOTg6pqamkpqYCsH//flJTUzl48CAFBQU8+OCDbN26lQULFlBYWIjVasVqtZKfnw9AcHAwXbt25emnn2bz5s1s2LCBqKgo+vbtS2BgIACPPvoobm5u9O/fn927d7No0SJmzpzpMIQ8dOhQVq5cySuvvMLevXuJjo5m69atREVFFet+tOREpAS05ETKS6kvOVnxuuFjPboPc7ru2rVr6dKlywX7IyIiiI6OJigo6KLHfffdd9x5553A2ZcbREVF8eWXX+Li4kKfPn2YNWsWNWrUsNffsWMHkZGRbNmyhTp16jB48GDGjh3rcM7Fixfz3HPP8euvv9K4cWNiY2Pp1q2b0/cCCk2RElFoSnkp9dBc/qrhYz3uG3H5SpWUJgKJiJiRXthuiJ5pioiIOEk9TRERM9KXUBui0BQRMSMNzxqi0BQRMSP1NA1RaIqImJF6moYoNEVEzEihaYhmz4qIiDhJPU0RETOqfO+1KRcKTRERM9LwrCEKTRERM1JoGqLQFBExIy05MUShKSJiRuppGqLZsyIiIk5ST1NExIw0e9YQhaaIiBlpeNYQhaaIiBkpNA1RaIqImJFmzxqi0BQRMSFbkZ5pGqHZsyIiIk5ST1NExIz0TNMQhaaIiBnpmaYhCk0RETPSM01DFJoiImak4VlDNBFIRETESeppioiYkXqahig0K4muj93LvY93w+86fwAO/nSQRTM/ZtvaFABeXBRDi5AWDsesnP81c56dbf98c8eWhI98jAZNG3D6zzzWfL6a+bEfUlT411+ujvfdzoORD3Pt9YFk/ZHNV/OWs+TtL8rhDuVK0uG2dgwa0o+bW95EQF0/ngyPYuWK1fby6p7VeW7yCLp2v5tavj4cOnCYd9+ez4cfLLLXcXd3I/rFsfTs0w13N1e+W7OBcSOf5/ixP+x1rJl7Lrj2f/qN5L9ffFW2N2gGevesIQrNSuIP6x98OH0eR/YfwWKBux68m2fffY7h3YZy6KeDAKxauJKFr8y3H5N3Ks/+54bBQUyKj2bxm4t4bfir1A6ozcBpkbi4uBA/9X0A2tzZlhEzR/HO5LfZnriN6xrVI+qlweSdzuerecvL94alQlWv7sHunWl8PP8LPpj/xgXlU6aO5fbO7Yn6zxgOHfyNO7p0ZPork7Baj/LN198B8Py08dx9T2eefnIYJ7NOMm3GRN7/aBb3dw13ONfQQeNZ8+16++fsrOyyvTmzUE/TEIVmJbHl280On+fP+Iiuj3ejSesm9tDMO5VH5rHMix5/e49O/Lp3P4tmfgKA9cDvzIv5gNFvjWXR6x9zKvcUd/buQvI3m1g5/2sA0g+m89nsxfQZ2EehaTJrvv2eNd9+f8nyW25tzacf/5eN67cAMH/eYh7/v3/Tus3NfPP1d9T0qsEjj/dm0FOj2ZCYDMCwyGdZv+Ur2rRrybatP9jPlZV1kmNHj5ftDZmRZs8aUqETgY4fP05sbCwPPPAAISEhhISE8MADDzBjxgyOHTtWkU27qrm4uNCpR2eqeVQjbdte+/47et3JR6kLmJUwm8fHRuBWzd1e5urmSn5egcN58k/n4V7NnRtaNDqvTv7f6uRTJ/Aa/K7zK8M7kqvNls3bCbu3CwF1z/5edOx0Kzfc0JB1320A4OZWN+Hm5kbiuiT7MT/v28/hQ0dod2srh3PFzJjI7l828vXqRTzyWO9yu4dKz1ZkfDOxCutpbtmyhbCwMKpXr05oaCg33ngjAOnp6cyaNYvp06ezatUq2rVrV1FNvOo0aNKAl5a+jJu7G6dyTxEzYCqH9h0CIPG/azl2+BgZ6X/QMDiIJ8Y/ybXXX8v0/0wDYPu6bfTofz+d7u/MhuXr8bmmFv8e+ggAtfxqna2TuI3+k55mTcfV7Ny4g7oN69Lz6Qf+fx1fjh4+WgF3LVeiCWNe5OWZz5O6Zx0FBQUUFdkYNXQSmzZuBcDPrw55eflkZ510OO7Y0eP4+dWxf35p6izWJ27i1KnT3NmlIzEvT6K6Z3Xee3s+IhWhwkJz8ODBPPTQQ8TFxWGxWBzKbDYbzzzzDIMHDyYpKekSZzgrLy+PvLw8h32FtkKqWKqUepuvdL/97zeGdR2Cp1d1but2O0NfHc6Eh8dxaN8hvlm4yl7vQNoBMo5m8OIn0whoEID1gJXU77cTP/UDBk6LZPjrIynIL+DTWZ9wU/vm2P7/hIFvFq4ioEFdnvtgElWrVuXPnD/58v1lPDoiHJuej8h5+g94jDbtWvJ434EcPnSEkNvaETNjItbfj/L9un/+O32+12bMsf951449VPf0YNDgfgrN0qDhWUMqLDR/+OEH4uPjLwhMAIvFwvDhw2nduvVlzxMTE8OUKVMc9t3o1Zim3jeWWluvFmcKzmA98DsAv+z8hcYtG3Nfv/uZM372BXV/2p4GQN0GgVgPWAFY9u5Slr27FF9/X3Iyc/Cr58cT4560lwN8GBPP/Jc+xOeaWmRnZHFzx5YAWA9aL7iGmFO1au6MnzSMfo8N4dtv1gGwZ/dP3NQimIGD/4/v1yVx9Ohx3N3d8PKu6dDbvMavDkf/4fnltq07GDFmEG5uruTnF1yynlye/kPXmAp7phkQEMDmzZsvWb5582b8/f0ve57x48eTlZXlsDX2uqE0m3rVslgsuLq5XrQs6KbrAcg4mnFBWUZ6Bvl5+XS+/w6O/XaU/+36xaG8qKiIjPQ/OFNwhs4972Dv1j1kZ2hGo5xV1bUqbm5uFP3tH+XCwkJcXM7+k7MjdTf5+fl0uqODvfyGRg25rl4gWzenXvLcN7VoyokTmQrM0lBkM76ZWIX1NEeNGsWAAQNISUnh7rvvtgdkeno6q1ev5p133uHll1++7Hnc3d1xd3d32GfGodnHx0aQ8t1Wjh85hoenB5173UnzkBZEPz6JgAYBdO55JynfbeHkiZM0DG5Iv0lPs2vTTg7s/dV+jgf+05tta1MostkI6XobvQc9yIxBL9n/8atZy4uO3TuyM2knbu6u3P3wv7ite0cmPDS+gu5aKkp1z+oEXV/f/rl+g+u4qUVTMk9k8dvh39m4fjOTnh/N6dOnzw7PdryFh/r2JHrCSwCczM7h44++YMrUcWSeyOJkdg5TY59jS/J2+8zZf3W9k2uuqcO2rT9w+nQed3S5jaEjBjDnzQ8q5J4rHZNP6DHKYrNV3ArXRYsW8dprr5GSkkJhYSEAVapUoW3btowYMYKHH37Y0Hl71r+vNJt5VYiKHcLNHVvi6+dL7slcDuz9lc/nfMYP36dSp24dhs8cSf0mDajmUY3jvx9n06okPp31CadyTtnP8cLHU7m++Q24urvy64/7+eT1v16OAGdD87n3J9GgaQMsFgtp2/YyP/ZDfkr9qSJu+YqQnP3L5StVQrfdfgtfLP/wgv2LFi5h6KBnucavDhMmD+eOLh3xqeXN4UNHmD/vU96ePc9e99zLDXo92A13Nzf7yw3OLS/pcvftPDt5OEFBDbBYYP/+g8x77xPmz1tMBf6zVWEu9qKHksh9PvzylS7Bc9KCUmzJ1aVCQ/OcgoICjh8/+xelTp06uLpefEjRWWYMTakYZg1NKX8KzSvDFfFyA1dXV+rWrVvRzRARMQ9NBDJE33IiImJG5TQRKDExkR49ehAYGIjFYmHp0qUO5TabjUmTJlG3bl08PDwIDQ1l3759DnUyMjIIDw/Hy8sLHx8f+vfvT05OjkOdHTt20KlTJ6pVq0a9evWIjY29oC2LFy+madOmVKtWjRYtWvDVV8V/h7FCU0TEjMrpjUC5ubm0bNmS2bMvXPoGEBsby6xZs4iLiyM5ORlPT0/CwsI4ffq0vU54eDi7d+8mISGB5cuXk5iYyIABA+zl2dnZ3HPPPTRo0ICUlBRmzJhBdHQ0c+fOtdfZuHEjjzzyCP3792f79u306tWLXr16sWvXrmLdzxXxTLO06ZmmlBc905TyUurPNCc8ZPhYz6mLDR1nsVhYsmQJvXr1As72MgMDAxk5ciSjRo0CICsrC39/f+Lj4+nbty979uyhWbNmbNmyxf6GuJUrV9KtWzcOHz5MYGAgc+bMYcKECVitVtzc3AAYN24cS5cuZe/es68S/fe//01ubi7Ll//1nuwOHTrQqlUr4uLinL4H9TRFREzIVlRkeMvLyyM7O9th+/ub2Zyxf/9+rFYroaGh9n3e3t60b9/e/ja4pKQkfHx8HF6pGhoaiouLC8nJyfY6nTt3tgcmQFhYGGlpaZw4ccJe5/zrnKtzubfO/Z1CU0REiiUmJgZvb2+HLSYmptjnsVrPvkns7y+y8ff3t5dZrVb8/By/EKJq1ar4+vo61LnYOc6/xqXqnCt31hUxe1ZERMpZCd7sM378eEaMGOGw7+8vmamsFJoiImZUgtC82JvYjAgICADOvgnu/GWH6enptGrVyl7n6FHHb1A6c+YMGRkZ9uMDAgJIT093qHPu8+XqnCt3loZnRUTM6Ar4Ps2goCACAgJYvXq1fV92djbJycmEhIQAEBISQmZmJikpf72dbM2aNRQVFdG+fXt7ncTERAoK/noncUJCAk2aNKFWrVr2Oudf51ydc9dxlkJTRMSMymmdZk5ODqmpqaSmpgJnJ/+kpqZy8OBBLBYLw4YN48UXX2TZsmXs3LmTJ554gsDAQPsM2+DgYLp27crTTz/N5s2b2bBhA1FRUfTt25fAwEAAHn30Udzc3Ojfvz+7d+9m0aJFzJw502EIeejQoaxcuZJXXnmFvXv3Eh0dzdatW4mKiirW/Wh4VkTEhGzl9G0lW7dupUuXLvbP54IsIiKC+Ph4xowZQ25uLgMGDCAzM5Pbb7+dlStXUq1aNfsxCxYsICoqirvvvhsXFxf69OnDrFmz7OXe3t588803REZG0rZtW+rUqcOkSZMc1nLedtttLFy4kOeee45nn32Wxo0bs3TpUpo3b16s+9E6TZES0DpNKS+lvU7z5LAeho+t+fqXpdiSq4t6miIiZmTy78U0SqEpImJGemG7IQpNEREzUk/TEIWmiIgZKTQNUWiKiJhQJZwDWi60TlNERMRJ6mmKiJiRhmcNUWiKiJiRQtMQhaaIiAmV1xuBKhuFpoiIGSk0DVFoioiYkd5tYIhmz4qIiDhJPU0RERPSM01jFJoiImak0DREoSkiYkZ6pmmIQlNExIQ0PGuMQlNExIzU0zREs2dFREScpJ6miIgJaXjWGIWmiIgZaXjWEIWmiIgJ2RSahig0RUTMSKFpiEJTRMSE1NM0RrNnRUREnKSepoiIGamnaYhCU0TEhDQ8a4xCU0TEhBSaxig0RURMSKFpjEJTRMSMbJaKbsFVSbNnRUREnKSepoiICWl41hiFpoiICdmKNDxrhEJTRMSE1NM0RqEpImJCNk0EMkShKSJiQuppGqPZsyIiIk5ST1NExIQ0EcgYhaaIiAnZbBXdgquThmdFREzIVmQxvBVHYWEhEydOJCgoCA8PD2644QZeeOEFbOelts1mY9KkSdStWxcPDw9CQ0PZt2+fw3kyMjIIDw/Hy8sLHx8f+vfvT05OjkOdHTt20KlTJ6pVq0a9evWIjY01/gO6BIWmiIgJlVdovvTSS8yZM4c333yTPXv28NJLLxEbG8sbb7xhrxMbG8usWbOIi4sjOTkZT09PwsLCOH36tL1OeHg4u3fvJiEhgeXLl5OYmMiAAQPs5dnZ2dxzzz00aNCAlJQUZsyYQXR0NHPnzi35D+s8Fput8nXSe9a/r6KbICaRnP1LRTdBTMKauadUz7e/5b8MHxv0Q4LTde+77z78/f1577337Pv69OmDh4cH8+fPx2azERgYyMiRIxk1ahQAWVlZ+Pv7Ex8fT9++fdmzZw/NmjVjy5YttGvXDoCVK1fSrVs3Dh8+TGBgIHPmzGHChAlYrVbc3NwAGDduHEuXLmXv3r2G7/XvnHqmuWzZMqdPeP/99xtujIiIXPny8vLIy8tz2Ofu7o67u/sFdW+77Tbmzp3LTz/9xI033sgPP/zA+vXrefXVVwHYv38/VquV0NBQ+zHe3t60b9+epKQk+vbtS1JSEj4+PvbABAgNDcXFxYXk5GQeeOABkpKS6Ny5sz0wAcLCwnjppZc4ceIEtWrVKpV7dyo0e/Xq5dTJLBYLhYWFJWmPiIiUg5LMno2JiWHKlCkO+yZPnkx0dPQFdceNG0d2djZNmzalSpUqFBYWMnXqVMLDwwGwWq0A+Pv7Oxzn7+9vL7Narfj5+TmUV61aFV9fX4c6QUFBF5zjXFm5hmZRkVbBiohUJiV5I9D48eMZMWKEw76L9TIBPv30UxYsWMDChQu56aabSE1NZdiwYQQGBhIREWG4DRVFS05EREyoJG8EutRQ7MWMHj2acePG0bdvXwBatGjBgQMHiImJISIigoCAAADS09OpW7eu/bj09HRatWoFQEBAAEePHnU475kzZ8jIyLAfHxAQQHp6ukOdc5/P1SkNhkIzNzeXdevWcfDgQfLz8x3KhgwZUioNExGRslNUTu+e/fPPP3FxcVyoUaVKFfsIZlBQEAEBAaxevdoektnZ2SQnJzNw4EAAQkJCyMzMJCUlhbZt2wKwZs0aioqKaN++vb3OhAkTKCgowNXVFYCEhASaNGlSakOzYCA0t2/fTrdu3fjzzz/Jzc3F19eX48ePU716dfz8/BSaIiJXgfJ6YXuPHj2YOnUq9evX56abbmL79u28+uqr9OvXDzg7F2bYsGG8+OKLNG7cmKCgICZOnEhgYKB9Pk1wcDBdu3bl6aefJi4ujoKCAqKioujbty+BgYEAPProo0yZMoX+/fszduxYdu3axcyZM3nttddK9X6KHZrDhw+nR48exMXF4e3tzaZNm3B1deWxxx5j6NChpdo4ERG5ur3xxhtMnDiRQYMGcfToUQIDA/nPf/7DpEmT7HXGjBlDbm4uAwYMIDMzk9tvv52VK1dSrVo1e50FCxYQFRXF3XffjYuLC3369GHWrFn2cm9vb7755hsiIyNp27YtderUYdKkSQ5rOUtDsddp+vj4kJycTJMmTfDx8SEpKYng4GCSk5OJiIgo1fUwRmmdppQXrdOU8lLa6zT33tjN8LFNf/qqFFtydSn2G4FcXV3t49N+fn4cPHgQOJvyhw4dKt3WiYhImbDZjG9mVuzh2datW7NlyxYaN27MHXfcwaRJkzh+/DgfffQRzZs3L4s2iohIKdO3nBhT7J7mtGnT7NOCp06dSq1atRg4cCDHjh0r9Xf8iYhI2SiyWQxvZlbsnub5rzHy8/Nj5cqVpdogERGRK5VebiAiYkLlteSksil2aAYFBWGxXPqH/b///a9EDRIRkbJn9gk9RhU7NIcNG+bwuaCggO3bt7Ny5UpGjx5dWu0SEZEyZPZnk0YVOzQv9QKD2bNns3Xr1hI3SEREyp6GZ40p9uzZS7n33nv5/PPPS+t0IiJShrRO05hSC83PPvsMX1/f0jqdiIjIFcfQyw3Onwhks9mwWq0cO3aMt956q1QbJyIiZUPPNI0pdmj27NnTITRdXFy45ppruPPOO2natGmpNs6oFdbtFd0EMYlTR76v6CaIGKJnmsYUOzSjo6PLoBkiIlKe1NM0ptjPNKtUqXLBN2gD/PHHH1SpUqVUGiUiImXLVoLNzIrd07zUN4nl5eXh5uZW4gaJiEjZU0/TGKdD89yXfVosFt59911q1KhhLyssLCQxMfGKeaYpIiJSFpwOzddeew0429OMi4tzGIp1c3OjYcOGxMXFlX4LRUSk1GkikDFOh+b+/fsB6NKlC1988QW1atUqs0aJiEjZKqroBlyliv1M87vvviuLdoiISDmyoZ6mEcWePdunTx9eeumlC/bHxsby0EMPlUqjRESkbBXZjG9mVuzQTExMpFu3bhfsv/fee0lMTCyVRomISNkqwmJ4M7Nih2ZOTs5Fl5a4urqSnZ1dKo0SERG5EhU7NFu0aMGiRYsu2P/JJ5/QrFmzUmmUiIiULRsWw5uZFXsi0MSJE+nduze//PILd911FwCrV69m4cKFfPbZZ6XeQBERKX2aPWtMsUOzR48eLF26lGnTpvHZZ5/h4eFBy5YtWbNmjb4aTETkKmH2HqNRxQ5NgO7du9O9e3cAsrOz+fjjjxk1ahQpKSkUFhaWagNFRKT0qadpjOEvoU5MTCQiIoLAwEBeeeUV7rrrLjZt2lSabRMRkTJSVILNzIrV07RarcTHx/Pee++RnZ3Nww8/TF5eHkuXLtUkIBERqfSc7mn26NGDJk2asGPHDl5//XWOHDnCG2+8UZZtExGRMqLZs8Y43dP8+uuvGTJkCAMHDqRx48Zl2SYRESljRebOPsOc7mmuX7+ekydP0rZtW9q3b8+bb77J8ePHy7JtIiJSRvRGIGOcDs0OHTrwzjvv8Pvvv/Of//yHTz75hMDAQIqKikhISODkyZNl2U4RESlFthJsZlbs2bOenp7069eP9evXs3PnTkaOHMn06dPx8/Pj/vvvL4s2iohIKdPsWWMMLzkBaNKkCbGxsRw+fJiPP/64tNokIiJyRTL0coO/q1KlCr169aJXr16lcToRESljRRZzP5s0qlRCU0REri5mfzZplEJTRMSEzP5s0iiFpoiICWmdpjEKTREREzL7ekujSjR7VkRE5HJ+++03HnvsMWrXro2HhwctWrRg69at9nKbzcakSZOoW7cuHh4ehIaGsm/fPodzZGRkEB4ejpeXFz4+PvTv35+cnByHOjt27KBTp05Uq1aNevXqERsbW+r3otAUETGh8nq5wYkTJ+jYsSOurq58/fXX/Pjjj7zyyivUqlXLXic2NpZZs2YRFxdHcnIynp6ehIWFcfr0aXud8PBwdu/eTUJCAsuXLycxMZEBAwbYy7Ozs7nnnnto0KABKSkpzJgxg+joaObOnVv8H84/sNhstko3iaqq27UV3QQxiVNHvq/oJohJuNa5vlTP9+G1jxk+9onf5jtdd9y4cWzYsIHvv7/43xWbzUZgYCAjR45k1KhRAGRlZeHv7098fDx9+/Zlz549NGvWjC1bttCuXTsAVq5cSbdu3Th8+DCBgYHMmTOHCRMmYLVacXNzs1976dKl7N271/C9/p16miIiJlSSNwLl5eWRnZ3tsOXl5V30OsuWLaNdu3Y89NBD+Pn50bp1a9555x17+f79+7FarYSGhtr3eXt70759e5KSkgBISkrCx8fHHpgAoaGhuLi4kJycbK/TuXNne2AChIWFkZaWxokTJ0r2wzqPQlNExIRKMjwbExODt7e3wxYTE3PR6/zvf/9jzpw5NG7cmFWrVjFw4ECGDBnCvHnzgLPf0wzg7+/vcJy/v7+9zGq14ufn51BetWpVfH19Hepc7BznX6M0aPasiIgJlWTJyfjx4xkxYoTDPnd394tfp6iIdu3aMW3aNABat27Nrl27iIuLIyIiwngjKoh6miIiUizu7u54eXk5bJcKzbp169KsWTOHfcHBwRw8eBCAgIAAANLT0x3qpKen28sCAgI4evSoQ/mZM2fIyMhwqHOxc5x/jdKg0BQRMaHy+paTjh07kpaW5rDvp59+okGDBgAEBQUREBDA6tWr7eXZ2dkkJycTEhICQEhICJmZmaSkpNjrrFmzhqKiItq3b2+vk5iYSEFBgb1OQkICTZo0cZipW1IKTREREyqv0Bw+fDibNm1i2rRp/PzzzyxcuJC5c+cSGRkJgMViYdiwYbz44ossW7aMnTt38sQTTxAYGGj/EpDg4GC6du3K008/zebNm9mwYQNRUVH07duXwMBAAB599FHc3Nzo378/u3fvZtGiRcycOfOCYeSS0jNNERETspXTC4FuueUWlixZwvjx43n++ecJCgri9ddfJzw83F5nzJgx5ObmMmDAADIzM7n99ttZuXIl1apVs9dZsGABUVFR3H333bi4uNCnTx9mzZplL/f29uabb74hMjKStm3bUqdOHSZNmuSwlrM0aJ2mSAlonaaUl9Jep/lWPePrNAcdcn6dZmWjnqaIiAnpW06M0TNNERERJ6mnKSJiQpXuuVw5UWiKiJiQvk/TGIWmiIgJ6ZmmMQpNERETUmgao9AUETEhPdM0RrNnRUREnKSepoiICWkikDEKTRERE9IzTWMUmiIiJqRnmsYoNEVETKhIsWmIQlNExIQ0PGuMZs+KiIg4ST1NERET0uCsMQpNERET0vCsMQpNERET0jpNYxSaIiImpNmzxig0RURMSJFpjGbPioiIOEk9TRERE9JEIGMUmiIiJqRnmsYoNEVETEiRaYxCU0TEhDQ8a4xCU0TEhDQ8a4xmz4qIiDhJPU0RERNSP9MYhaaIiAnpmaYxCk0REROyqa9piEJTRMSE1NM0RhOBREREnKSepoiICWnJiTHqaVYinW5vz9Il8Rz8NYUz+b9x//1hF9SJnjyKQwe2cTLrZ1Z9/QmNGgU5lP/80ybO5P/msI0ZHXnR691wQ0NO/JHG8aM/lsn9yJVha+pOIsdMpsv94TTveC+rEzc6lM9+bz49HnmaW+7uxW1dH+KpoePZsXuvQ517+kTQvOO9Dtu7H3160esdPHyEW0N7ExL2oMP+z5Z9zRMDR3Fb14fs19n5Y1rp3qyJ2EqwmZlCsxLx9KzOjh0/MnjohIuWjx41iKjIfgyKGsdtt/cg988/+Wr5Atzd3R3qTY6ewbX1Wtm3N2e/f8G5qlatyvyPZrN+fXKZ3ItcOU6dOk2TRtczYeSgi5Y3rHctz44YxBcfzuHDt14mMMCfAcMnkHEi06Fe1FOPs3bZAvv26IP3X3CugjNnGD15Om1b3nRB2ZZtO+j2rzt5f9Z05r/9KgF+1zBg+ATSjx0vlfs0myJshjcz0/BsJbJy1XesXPXdJcuHDH6KaTEz+fLLbwB48v+GcuRwKj17hvHpp8vs9U6ezCE9/dg/XuuF58eQlvYLa9asJySkXencgFyROoXcQqeQWy5Z3v2eLg6fxwx5mi+Wr+KnX/bToV1r+37P6h7Uqe37j9d6Y+48ghrUo0PbVqTu2uNQ9lL0WIfPU8YNJWHtejZtTaXnvaHO3o78f5oIZIx6miYRFFSfunX9Wb1mvX1fdvZJNm/eTof2bR3qjhkdSfrvu9iyeRUjRzxDlSpVHMq73NmRPr3vY/CQZ8ul7XL1KCgoYPF/v6ZmDU+aNLreoezd+YvpeO/DPPhkJO8v+IwzZwodypNTUvnmu/U8d4ke7d+dPp3HmTOFeHvVLLX2m4mtBP8zsyu6p3no0CEmT57M++9fODwoxRPg7wdwQQ8y/ehxAgL87J/fnP0+27fvJONEJiEd2jH1xXHUDfBn1JgpAPj61uK9d18j4snBnDyZU343IFe0tRuSGT15OqdP53FNbV/mvj6VWj7e9vLwh3oSfGMjvL1qkrrzR2a+Hc/xPzIYM2QAAJlZ2UyY+irTJ42mhqenU9d8dc77XFPHl5DzerMiZe2KDs2MjAzmzZv3j6GZl5dHXl6ewz6bzYbFYinr5lVKr8+ca//zzp17yM/PZ85bL/HsczHk5+fzdlwsnyxawvd6linnubVNSz6Pn82JzCw++3IloybGsPCd16ldyweAiL697XWbNArC1bUqz8e+wbBnnsTNzY3J02fS/V930q5VC6eu9+5Hn/L1t+v44M1Y3N3dyuKWKj0NzxpTocOzy5Yt+8ftu+8u/XzunJiYGLy9vR02W9HJcmj91cWafhQAf/9rHPb7+9XBaj16yeM2b9mOq6srDRvWA84OzY4Y/gyn/zzA6T8P8M7cl/Hx8eb0nwd4MuLfZXcDckWr7lGN+tcF0rJ5MC+MH06VKlX44stVl6x/c7OmnCks5Lffz/7ubd72A/Eff07Lzt1p2bk7k6a/zsmcXFp27s4Xyx3P88HCz3hv/qfMfW0qTf42+1ucVxHDs9OnT8disTBs2DD7vtOnTxMZGUnt2rWpUaMGffr0IT093eG4gwcP0r17d6pXr46fnx+jR4/mzJkzDnXWrl1LmzZtcHd3p1GjRsTHxxtu5z+p0J5mr169sFgs2GyX/j/hcj3G8ePHM2LECId9tWo3LZX2VSb79x/k99/TuavL7fzww24Aataswa23tiZu7oeXPK5ly5soLCzk6NGzMxRv73y/wzPO+3uEMXrUIDrd0ZPffrOW7U3IVaOoqIj8goJLlu/d9wsuLi741jo7hDv/7VcpKvqr77Pm+yTen7+Y+W+/il+d2vb97y9YzNx5n/D2qy/SPPjGsrsBEyjvnuaWLVt4++23ufnmmx32Dx8+nBUrVrB48WK8vb2Jioqid+/ebNiwAYDCwkK6d+9OQEAAGzdu5Pfff+eJJ57A1dWVadOmAbB//366d+/OM888w4IFC1i9ejVPPfUUdevWJSzswqV3JVGhoVm3bl3eeustevbsedHy1NRU2rZte9Gyc9zd3S9YMmHWoVlPz+oO6y6DGtanZcubyMg4waFDR5j1xrs8O34I+37+H7/+eogp0aM5ciSd//737H/Jd2jflltvbc3adRs5eTKHDh3a8sqMaBYs/ILMzCwA9u792eGabdu0pKioiN27tV6usvrzz1McPHzE/vm3I+ns/ekXvL1q4u3txdx5n9Dl9vZcU8eXE5nZfPzFlxw9/gdhXToBkLprDzt37+WWNi3xrO7BD7v2EDtrLvfd08U+ieeGhvUdrrl7zz5cXFxofH1D+7735n/Km+9+ROzksVxb15/jf2QAUN3Dg+rVPcr4p1D5FP1DZ6W05eTkEB4ezjvvvMOLL75o35+VlcV7773HwoULueuuuwD44IMPCA4OZtOmTXTo0IFvvvmGH3/8kW+//RZ/f39atWrFCy+8wNixY4mOjsbNzY24uDiCgoJ45ZVXAAgODmb9+vW89tprlSs027ZtS0pKyiVD83K9UHHUrm1LVn/7mf3zKy9HAzDvw0/p/9RwZrz8Fp6e1Yl7KxYfHy82bNhC9x6P2Z8J5+Xl8e+HezJp4gjc3d3Y/+shZs56h9den3uxy4lJ7Nq7j36D/1ruEfvG2d+HnveGMmn0YPYfOMSyr7/lRFYWPl5eNA++kXlvzaDR9Q0AcHN15etv1/HW+wvIzy/g2kB/Hv/3A0T0faBY7Vi0ZAUFBWcY/txUh/0D+4UT2f+xEt6l+ZTkX9aLzSW5WAfmnMjISLp3705oaKhDaKakpFBQUEBo6F9Lhpo2bUr9+vVJSkqiQ4cOJCUl0aJFC/z9/e11wsLCGDhwILt376Z169YkJSU5nONcnfOHgUtLhYbm6NGjyc3NvWR5o0aNnHquKWetS0yiqtu1/1gnesrLRE95+aJl21N30bFTj2Jd88OPPuXDS7zZRSqHW9vczK4NX1+yfGbMxH88vlmTRix85/ViXbNX93/Rq/u/HPZ98/m8Yp1Dyk5MTAxTpkxx2Dd58mSio6MvqPvJJ5+wbds2tmzZckGZ1WrFzc0NHx8fh/3+/v5YrVZ7nfMD81z5ubJ/qpOdnc2pU6fw8Ci9kYgKDc1OnTr9Y7mnpyd33HFHObVGRMQ8SvJmn4vNJblYL/PQoUMMHTqUhIQEqlWrZvh6VxK93EBExIRKMnvW3d0dLy8vh+1ioZmSksLRo0dp06YNVatWpWrVqqxbt45Zs2ZRtWpV/P39yc/PJzMz0+G49PR0AgICAAgICLhgNu25z5er4+XlVaq9TFBoioiYUlEJNmfdfffd7Ny5k9TUVPvWrl07wsPD7X92dXVl9erV9mPS0tI4ePAgISEhAISEhLBz506OHv1raVxCQgJeXl40a9bMXuf8c5yrc+4cpemKfrmBiIiUjfJ48XrNmjVp3ry5wz5PT09q165t39+/f39GjBiBr68vXl5eDB48mJCQEDp06ADAPffcQ7NmzXj88ceJjY3FarXy3HPPERkZae/dPvPMM7z55puMGTOGfv36sWbNGj799FNWrFhR6vek0BQRMaEr5R2yr732Gi4uLvTp04e8vDzCwsJ466237OVVqlRh+fLlDBw4kJCQEDw9PYmIiOD555+31wkKCmLFihUMHz6cmTNnct111/Huu++W+nITAIutEq7puNwMUpHScurI9xXdBDEJ1zrXX75SMTzY4MKvZnPWZweWXb5SJaWepoiICends8YoNEVETKgSDjKWC4WmiIgJlcdEoMpIoSkiYkIanjVGoSkiYkJXyuzZq41ebiAiIuIk9TRFRExIzzSNUWiKiJiQZs8ao9AUETEhTQQyRqEpImJCmghkjEJTRMSE9EzTGM2eFRERcZJ6miIiJqSJQMYoNEVETEjDs8YoNEVETEgTgYxRaIqImFCRhmcNUWiKiJiQItMYzZ4VERFxknqaIiImpIlAxig0RURMSKFpjEJTRMSEtE7TGIWmiIgJqadpjEJTRMSEtE7TGM2eFRERcZJ6miIiJqRnmsYoNEVETEjPNI1RaIqImJB6msYoNEVETEg9TWMUmiIiJqTZs8Zo9qyIiIiT1NMUETEhfTWYMQpNERET0vCsMQpNERETUk/TGIWmiIgJqadpjEJTRMSE1NM0RrNnRUREnKSepoiICWl41hiFpoiICWl41hgNz4qImJCtBP8rjpiYGG655RZq1qyJn58fvXr1Ii0tzaHO6dOniYyMpHbt2tSoUYM+ffqQnp7uUOfgwYN0796d6tWr4+fnx+jRozlz5oxDnbVr19KmTRvc3d1p1KgR8fHxhn42/0ShKSJiQjZbkeGtONatW0dkZCSbNm0iISGBgoIC7rnnHnJzc+11hg8fzpdffsnixYtZt24dR44coXfv3vbywsJCunfvTn5+Phs3bmTevHnEx8czadIke539+/fTvXt3unTpQmpqKsOGDeOpp55i1apVJf9hncdiq4Svuq/qdm1FN0FM4tSR7yu6CWISrnWuL9XzNah9s+FjD/yxw/Cxx44dw8/Pj3Xr1tG5c2eysrK45pprWLhwIQ8++CAAe/fuJTg4mKSkJDp06MDXX3/Nfffdx5EjR/D39wcgLi6OsWPHcuzYMdzc3Bg7diwrVqxg165d9mv17duXzMxMVq5cabi9f6eepoiIFEteXh7Z2dkOW15enlPHZmVlAeDr6wtASkoKBQUFhIaG2us0bdqU+vXrk5SUBEBSUhItWrSwByZAWFgY2dnZ7N69217n/HOcq3PuHKVFoSkiYkI2m83wFhMTg7e3t8MWExNz2WsWFRUxbNgwOnbsSPPmzQGwWq24ubnh4+PjUNff3x+r1Wqvc35gnis/V/ZPdbKzszl16pShn9HFaPasiIgJleT7NMePH8+IESMc9rm7u1/2uMjISHbt2sX69esNX7uiKTRFREyoJNNZ3N3dnQrJ80VFRbF8+XISExO57rrr7PsDAgLIz88nMzPTobeZnp5OQECAvc7mzZsdzndudu35df4+4zY9PR0vLy88PDyK1dZ/ouFZERETKrLZDG/FYbPZiIqKYsmSJaxZs4agoCCH8rZt2+Lq6srq1avt+9LS0jh48CAhISEAhISEsHPnTo4ePWqvk5CQgJeXF82aNbPXOf8c5+qcO0dp0exZkRLQ7FkpL6U9ezbAJ9jwsdbMPU7XHTRoEAsXLuS///0vTZo0se/39va29wAHDhzIV199RXx8PF5eXgwePBiAjRs3AmeXnLRq1YrAwEBiY2OxWq08/vjjPPXUU0ybNg04u+SkefPmREZG0q9fP9asWcOQIUNYsWIFYWFhhu/17xSaIiWg0JTycrWGpsViuej+Dz74gCeffBI4+3KDkSNH8vHHH5OXl0dYWBhvvfWWfegV4MCBAwwcOJC1a9fi6elJREQE06dPp2rVv54yrl27luHDh/Pjjz9y3XXXMXHiRPs1SotCU6QEFJpSXko7NP29mxo+Nj1rbym25OqiiUAiIiZUktmzZqbQFBExoUo4yFguFJoiIiakbzkxRqEpImJC6mkao3WaIiIiTlJPU0TEhDQRyBiFpoiICWl41hiFpoiICWkikDEKTRERE7JpeNYQTQQSERFxknqaIiImpOFZYxSaIiImpIlAxig0RURMSM80jVFoioiYkHqaxig0RURMSKFpjGbPioiIOEk9TRERE1I/0xiLTX10AfLy8oiJiWH8+PG4u7tXdHOkEtPvmlzNFJoCQHZ2Nt7e3mRlZeHl5VXRzZFKTL9rcjXTM00REREnKTRFREScpNAUERFxkkJTAHB3d2fy5MmamCFlTr9rcjXTRCAREREnqacpIiLiJIWmiIiIkxSaIiIiTlJoioiIOEmhKcyePZuGDRtSrVo12rdvz+bNmyu6SVIJJSYm0qNHDwIDA7FYLCxdurSimyRSbApNk1u0aBEjRoxg8uTJbNu2jZYtWxIWFsbRo0crumlSyeTm5tKyZUtmz55d0U0RMUxLTkyuffv23HLLLbz55psAFBUVUa9ePQYPHsy4ceMquHVSWVksFpYsWUKvXr0quikixaKeponl5+eTkpJCaGiofZ+LiwuhoaEkJSVVYMtERK5MCk0TO378OIWFhfj7+zvs9/f3x2q1VlCrRESuXApNERERJyk0TaxOnTpUqVKF9PR0h/3p6ekEBARUUKtERK5cCk0Tc3Nzo23btqxevdq+r6ioiNWrVxMSElKBLRMRuTJVregGSMUaMWIEERERtGvXjltvvZXXX3+d3Nxc/u///q+imyaVTE5ODj///LP98/79+0lNTcXX15f69etXYMtEnKclJ8Kbb77JjBkzsFqttGrVilmzZtG+ffuKbpZUMmvXrqVLly4X7I+IiCA+Pr78GyRigEJTRETESXqmKSIi4iSFpoiIiJMUmiIiIk5SaIqIiDhJoSkiIuIkhaaIiIiTFJoiIiJOUmiKOOnJJ590+P7HO++8k2HDhpV7O9auXYvFYiEzM7Pcry1idgpNueo9+eSTWCwWLBYLbm5uNGrUiOeff54zZ86U6XW/+OILXnjhBafqKuhEKge9e1Yqha5du/LBBx+Ql5fHV199RWRkJK6urowfP96hXn5+Pm5ubqVyTV9f31I5j4hcPdTTlErB3d2dgIAAGjRowMCBAwkNDWXZsmX2IdWpU6cSGBhIkyZNADh06BAPP/wwPj4++Pr60rNnT3799Vf7+QoLCxkxYgQ+Pj7Url2bMWPG8Pc3Tv59eDYvL4+xY8dSr1493N3dadSoEe+99x6//vqr/Z2rtWrVwmKx8OSTTwJnv1UmJiaGoKAgPDw8aNmyJZ999pnDdb766ituvPFGPDw86NKli0M7RaR8KTSlUvLw8CA/Px+A1atXk5aWRkJCAsuXL6egoICwsDBq1qzJ999/z4YNG6hRowZdu3a1H/PKK68QHx/P+++/z/r168nIyGDJkiX/eM0nnniCjz/+mFmzZrFnzx7efvttatSoQb169fj8888BSEtL4/fff2fmzJkAxMTE8OGHHxIXF8fu3bsZPnw4jz32GOvWrQPOhnvv3r3p0aMHqampPPXUU4wbN66sfmwicjk2katcRESErWfPnjabzWYrKiqyJSQk2Nzd3W2jRo2yRURE2Pz9/W15eXn2+h999JGtSZMmtqKiIvu+vLw8m4eHh23VqlU2m81mq1u3ri02NtZeXlBQYLvuuuvs17HZbLY77rjDNnToUJvNZrOlpaXZAFtCQsJF2/jdd9/ZANuJEyfs+06fPm2rXr26bePGjQ51+/fvb3vkkUdsNpvNNn78eFuzZs0cyseOHXvBuUSkfOiZplQKy5cvp0aNGhQUFFBUVMSjjz5KdHQ0kZGRtGjRwuE55g8//MDPP/9MzZo1Hc5x+vRpfvnlF7Kysvj9998dvh6tatWqtGvX7oIh2nNSU1OpUqUKd9xxh9Nt/vnnn/nzzz/517/+5bA/Pz+f1q1bA7Bnz54LvqZNXxAuUnEUmlIpdOnShTlz5uDm5kZgYCBVq/71q+3p6elQNycnh7Zt27JgwYILznPNNdcYur6Hh0exj8nJyQFgxYoVXHvttQ5l7u7uhtohImVLoSmVgqenJ40aNXKqbps2bVi0aBF+fn54eXldtE7dunVJTk6mc+fOAJw5c4aUlBTatGlz0fotWrSgqKiIdevWERoaekH5uZ5uYWGhfV+zZs1wd3fn4MGDl+yhBgcHs2zZMod9mzZtuvxNikiZ0EQgMZ3w8HDq1KlDz549+f7779m/fz9r165lyJAhHD58GIC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= pd.DataFrame({\n","\n","\"Feature\":X.columns,\n","\n","\"Importance\":model.feature_importances_\n","\n","})\n","\n","\n","importance.sort_values(\n","    by=\"Importance\",\n","    ascending=False\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":300},"id":"lBZYn9bX-pbB","executionInfo":{"status":"ok","timestamp":1783651551581,"user_tz":-330,"elapsed":97,"user":{"displayName":"Jigar","userId":"06260520967747452584"}},"outputId":"6d9cb406-d8a9-4e73-c98e-6fdc76518dd3"},"execution_count":19,"outputs":[{"output_type":"execute_result","data":{"text/plain":["          Feature  Importance\n","0            CGPA    0.260233\n","5        Backlogs    0.129818\n","6      Attendance    0.126720\n","2        Projects    0.118374\n","3    CodingSkills    0.107869\n","4   Communication    0.098745\n","1     Internships    0.086023\n","7  Certifications    0.072219"],"text/html":["\n","  <div id=\"df-112befee-83a7-438a-8028-8faa9027868c\" class=\"colab-df-container\">\n","  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Importance\"\n",")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":487},"id":"QkYZloIz-rLR","executionInfo":{"status":"ok","timestamp":1783651551760,"user_tz":-330,"elapsed":148,"user":{"displayName":"Jigar","userId":"06260520967747452584"}},"outputId":"18d3651d-7f79-4ca9-8bcd-bf3535197b35"},"execution_count":20,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 800x500 with 1 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\n"},"metadata":{}}]},{"cell_type":"code","source":["import os\n","\n","os.makedirs(\n","\"/content/drive/MyDrive/Student_Placement_AI/models\",\n","exist_ok=True\n",")"],"metadata":{"id":"pt8IzXcS-tPx","executionInfo":{"status":"ok","timestamp":1783651551783,"user_tz":-330,"elapsed":18,"user":{"displayName":"Jigar","userId":"06260520967747452584"}}},"execution_count":21,"outputs":[]},{"cell_type":"code","source":["joblib.dump(\n","    model,\n","    \"/content/drive/MyDrive/Student_Placement_AI/models/placement_model.pkl\"\n",")\n","\n","\n","print(\"Model Saved Successfully\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"wqYv4tCL-vYA","executionInfo":{"status":"ok","timestamp":1783651560396,"user_tz":-330,"elapsed":8601,"user":{"displayName":"Jigar","userId":"06260520967747452584"}},"outputId":"8ec88451-3f29-48ec-91c4-73d85ab8e001"},"execution_count":22,"outputs":[{"output_type":"stream","name":"stdout","text":["Model Saved Successfully\n"]}]},{"cell_type":"code","source":["model = joblib.load(\n","\"/content/drive/MyDrive/Student_Placement_AI/models/placement_model.pkl\"\n",")"],"metadata":{"id":"_fS_yDak_3U9","executionInfo":{"status":"ok","timestamp":1783651562447,"user_tz":-330,"elapsed":2048,"user":{"displayName":"Jigar","userId":"06260520967747452584"}}},"execution_count":23,"outputs":[]},{"cell_type":"code","source":["student = pd.DataFrame({\n","\n","\"CGPA\":[6.5],\n","\n","\"Internships\":[0],\n","\n","\"Projects\":[0],\n","\n","\"CodingSkills\":[0],\n","\n","\"Communication\":[8],\n","\n","\"Backlogs\":[0],\n","\n","\"Attendance\":[45],\n","\n","\"Certifications\":[3]\n","\n","})\n","\n","\n","prediction = model.predict(student)\n","\n","\n","if prediction[0]==1:\n","    print(\"Student will get Placement ✅\")\n","\n","else:\n","    print(\"Student may not get Placement ❌\")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Hb7tARcM_5oY","executionInfo":{"status":"ok","timestamp":1783651562528,"user_tz":-330,"elapsed":69,"user":{"displayName":"Jigar","userId":"06260520967747452584"}},"outputId":"2cd387cb-8e95-4a57-f712-e4657ec24331"},"execution_count":24,"outputs":[{"output_type":"stream","name":"stdout","text":["Student may not get Placement ❌\n"]}]},{"cell_type":"code","source":["plt.figure(figsize=(6,4))\n","\n","sns.countplot(\n","    data=df,\n","    x=\"Placement\"\n",")\n","\n","plt.title(\"Student Placement Distribution\")\n","plt.xlabel(\"Placement Status\")\n","plt.ylabel(\"Number of Students\")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":410},"id":"h5RDoH6wFJXN","executionInfo":{"status":"ok","timestamp":1783651563016,"user_tz":-330,"elapsed":486,"user":{"displayName":"Jigar","userId":"06260520967747452584"}},"outputId":"7ef80c8e-d0a2-4438-ee11-84845fbadb0d"},"execution_count":25,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 600x400 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["plt.figure(figsize=(8,5))\n","\n","sns.boxplot(\n","    data=df,\n","    x=\"Placement\",\n","    y=\"CGPA\"\n",")\n","\n","plt.title(\"CGPA Impact on Placement\")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":487},"id":"2pScHdC3FLJF","executionInfo":{"status":"ok","timestamp":1783651563467,"user_tz":-330,"elapsed":448,"user":{"displayName":"Jigar","userId":"06260520967747452584"}},"outputId":"36d7b559-1f9d-4a12-eb75-148c06a255d0"},"execution_count":26,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 800x500 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["plt.figure(figsize=(8,5))\n","\n","sns.countplot(\n","    data=df,\n","    x=\"Internships\",\n","    hue=\"Placement\"\n",")\n","\n","plt.title(\"Internships Impact on Placement\")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":487},"id":"In7AymcfFNA1","executionInfo":{"status":"ok","timestamp":1783651564128,"user_tz":-330,"elapsed":636,"user":{"displayName":"Jigar","userId":"06260520967747452584"}},"outputId":"700194d8-f941-4b61-ffb8-da32db9986a1"},"execution_count":27,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 800x500 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["plt.figure(figsize=(8,5))\n","\n","sns.countplot(\n","    data=df,\n","    x=\"Projects\",\n","    hue=\"Placement\"\n",")\n","\n","plt.title(\"Projects Impact on Placement\")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":487},"id":"5GT9OAO1FPjt","executionInfo":{"status":"ok","timestamp":1783651564497,"user_tz":-330,"elapsed":366,"user":{"displayName":"Jigar","userId":"06260520967747452584"}},"outputId":"a51d0563-568c-4dbf-ef3c-64405597bc15"},"execution_count":28,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 800x500 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["plt.figure(figsize=(10,7))\n","\n","\n","sns.heatmap(\n","    df.select_dtypes(\"number\").corr(),\n","    annot=True,\n","    cmap=\"coolwarm\"\n",")\n","\n","\n","plt.title(\"Feature Correlation Heatmap\")\n","\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":717},"id":"H4_NwK7QFWQO","executionInfo":{"status":"ok","timestamp":1783651565030,"user_tz":-330,"elapsed":530,"user":{"displayName":"Jigar","userId":"06260520967747452584"}},"outputId":"3020aa94-425e-401f-a2b5-1c74bfa9d6e7"},"execution_count":29,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x700 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["importance = pd.DataFrame({\n","\n","\"Feature\":X.columns,\n","\n","\"Importance\":model.feature_importances_\n","\n","})\n","\n","\n","importance = importance.sort_values(\n","    by=\"Importance\",\n","    ascending=False\n",")\n","\n","\n","plt.figure(figsize=(8,5))\n","\n","\n","sns.barplot(\n","    data=importance,\n","    x=\"Importance\",\n","    y=\"Feature\"\n",")\n","\n","\n","plt.title(\"Important Factors for Placement Prediction\")\n","\n","plt.show()"],"metadata":{"id":"nnxRtxeFFZDk","executionInfo":{"status":"ok","timestamp":1783651565194,"user_tz":-330,"elapsed":161,"user":{"displayName":"Jigar","userId":"06260520967747452584"}},"outputId":"d8900b3e-c55a-4a51-b854-2e38c160eba0","colab":{"base_uri":"https://localhost:8080/","height":487}},"execution_count":30,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 800x500 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]}]}