german-credit-risk.ipynb

{"cells":[{"cell_type":"markdown","metadata":{"id":"UR7pKGMLfcau"},"source":["# German Credit Risk"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"KC6URMHbxLGq"},"outputs":[],"source":["import pandas as pd\n","import numpy as np\n","from sklearn.linear_model import LogisticRegression\n","from sklearn.model_selection import GridSearchCV\n","import seaborn as sns\n","import matplotlib.pyplot as plt\n","\n","df = pd.read_csv('/content/german_credit_data.csv')\n","df_copy = pd.read_csv('/content/german_credit_data.csv')"]},{"cell_type":"markdown","metadata":{"id":"39bvZV2KIcWA"},"source":["## Performing EDA"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"elapsed":75,"status":"ok","timestamp":1649219842242,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"pPO0NYwdz368","outputId":"c237a5c7-6785-4e22-a638-e361c5911bcf"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-272b087b-19d0-4ee3-a74a-ad050c79bef3\">\n","    <div 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","    .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>Age</th>\n","      <th>Sex</th>\n","      <th>Job</th>\n","      <th>Housing</th>\n","      <th>Saving accounts</th>\n","      <th>Checking account</th>\n","      <th>Credit amount</th>\n","      <th>Duration</th>\n","      <th>Purpose</th>\n","      <th>Risk</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>67</td>\n","      <td>male</td>\n","      <td>2</td>\n","      <td>own</td>\n","      <td>NaN</td>\n","      <td>little</td>\n","      <td>1169</td>\n","      <td>6</td>\n","      <td>radio/TV</td>\n","      <td>good</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>22</td>\n","      <td>female</td>\n","      <td>2</td>\n","      <td>own</td>\n","      <td>little</td>\n","      <td>moderate</td>\n","      <td>5951</td>\n","      <td>48</td>\n","      <td>radio/TV</td>\n","      <td>bad</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>49</td>\n","      <td>male</td>\n","      <td>1</td>\n","      <td>own</td>\n","      <td>little</td>\n","      <td>NaN</td>\n","      <td>2096</td>\n","      <td>12</td>\n","      <td>education</td>\n","      <td>good</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>45</td>\n","      <td>male</td>\n","      <td>2</td>\n","      <td>free</td>\n","      <td>little</td>\n","      <td>little</td>\n","      <td>7882</td>\n","      <td>42</td>\n","      <td>furniture/equipment</td>\n","      <td>good</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>53</td>\n","      <td>male</td>\n","      <td>2</td>\n","      <td>free</td>\n","      <td>little</td>\n","      <td>little</td>\n","      <td>4870</td>\n","      <td>24</td>\n","      <td>car</td>\n","      <td>bad</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-272b087b-19d0-4ee3-a74a-ad050c79bef3')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 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little           7882   \n","4   53    male    2    free          little           little           4870   \n","\n","   Duration              Purpose  Risk  \n","0         6             radio/TV  good  \n","1        48             radio/TV   bad  \n","2        12            education  good  \n","3        42  furniture/equipment  good  \n","4        24                  car   bad  "]},"execution_count":2,"metadata":{},"output_type":"execute_result"}],"source":["df.head(5)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":67,"status":"ok","timestamp":1649219842247,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"uw_QzHq46GpV","outputId":"da0c8de1-3276-417c-99dc-ad3fe3268e53"},"outputs":[{"data":{"text/plain":["(1000, 10)"]},"execution_count":3,"metadata":{},"output_type":"execute_result"}],"source":["df.shape"]},{"cell_type":"markdown","metadata":{"id":"b3zFRKJ-WDer"},"source":["There are 1000 instances and 10 attributes in german credit dataset."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":129,"status":"ok","timestamp":1649219843813,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"t9ZMY7DjLetq","outputId":"064fa780-71dd-4902-ca2a-165895e141df"},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 1000 entries, 0 to 999\n","Data columns (total 10 columns):\n"," #   Column            Non-Null Count  Dtype \n","---  ------            --------------  ----- \n"," 0   Age               1000 non-null   int64 \n"," 1   Sex               1000 non-null   object\n"," 2   Job               1000 non-null   int64 \n"," 3   Housing           1000 non-null   object\n"," 4   Saving accounts   817 non-null    object\n"," 5   Checking account  606 non-null    object\n"," 6   Credit amount     1000 non-null   int64 \n"," 7   Duration          1000 non-null   int64 \n"," 8   Purpose           1000 non-null   object\n"," 9   Risk              1000 non-null   object\n","dtypes: int64(4), object(6)\n","memory usage: 78.2+ KB\n"]}],"source":["df.info()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":145,"status":"ok","timestamp":1649219845618,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"AYVjkTeD0etl","outputId":"7022469b-46bb-4cc5-ae35-3a2832123745"},"outputs":[{"data":{"text/plain":["0"]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["#Checking for duplicates\n","\n","df.duplicated().sum()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":4,"status":"ok","timestamp":1649219845775,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"JFJG1bbaDiHF","outputId":"42490619-47be-438c-a3cd-f0e5968fdfd7"},"outputs":[{"data":{"text/plain":["Age                   0\n","Sex                   0\n","Job                   0\n","Housing               0\n","Saving accounts     183\n","Checking account    394\n","Credit amount         0\n","Duration              0\n","Purpose               0\n","Risk                  0\n","dtype: int64"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["df.isnull().sum()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":295},"executionInfo":{"elapsed":666,"status":"ok","timestamp":1649219848607,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"m0MkfPo_TwnO","outputId":"af25b8c5-c327-4079-a6d2-bad251548c9b"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["# countplot to count categorical variable Risk\n","\n","sns.countplot(x=df[\"Risk\"]).set_title('Risk Count');"]},{"cell_type":"markdown","metadata":{"id":"ETlmb3hAy-73"},"source":["## Data Cleaning"]},{"cell_type":"markdown","metadata":{"id":"zOg5Y6MoWbP8"},"source":["There are missing values in 'Saving accounts' and 'Checking account' column in the german credit dataset.\n","We will do mode imputer since this is a dicrete data."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"p9KawgjBZ-dH"},"outputs":[],"source":["from sklearn.impute import SimpleImputer"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6,"status":"ok","timestamp":1649219854235,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"SmEovyoCUT8w","outputId":"ebf260fa-82ae-45fb-83f1-b964377bd1ad"},"outputs":[{"data":{"text/plain":["little        603\n","moderate      103\n","quite rich     63\n","rich           48\n","Name: Saving accounts, dtype: int64"]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["df['Saving accounts'].value_counts()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"y9CEnPqsaABk"},"outputs":[],"source":["# mode imputer\n","\n","mode_imputer = SimpleImputer(missing_values = np.nan, strategy = 'most_frequent')\n","df['Saving accounts'] = mode_imputer.fit_transform(df[['Saving accounts']])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":170,"status":"ok","timestamp":1649219856313,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"ztXCLTEeY1P-","outputId":"d6c1ca32-ebda-4bfa-cd1e-c3efd2a86693"},"outputs":[{"data":{"text/plain":["little      274\n","moderate    269\n","rich         63\n","Name: Checking account, dtype: int64"]},"execution_count":11,"metadata":{},"output_type":"execute_result"}],"source":["df['Checking account'].value_counts()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"q-zf2iovZBiC"},"outputs":[],"source":["# mode imputer\n","mode_imputer = SimpleImputer(missing_values = np.nan, strategy = 'most_frequent')\n","df['Checking account'] = mode_imputer.fit_transform(df[['Checking account']])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":295},"executionInfo":{"elapsed":1078,"status":"ok","timestamp":1649219862120,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"_QhGeDuIaUEz","outputId":"4bacc47c-76cf-4d37-f9ac-661844a665ce"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["# lets plot histogram, boxplot and Q-Q plot to understand about age column\n","\n","sns.histplot(df.Age).set_title('Age Distribution');"]},{"cell_type":"markdown","metadata":{"id":"JOGX7-GR1BWI"},"source":["From histogram we can see the data to be slightly skewed towards right."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":279},"executionInfo":{"elapsed":507,"status":"ok","timestamp":1649219864634,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"Z9Ecc00YDgKP","outputId":"cc7d54b1-23c0-43cd-84bb-d292bfd8ad79"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["# boxplot\n","\n","sns.boxplot(x=df.Age);"]},{"cell_type":"markdown","metadata":{"id":"3Xd_UcL_Djtj"},"source":["There are also outliers in this column."]},{"cell_type":"markdown","metadata":{"id":"PHodIi_Ud_A4"},"source":["## Applying the log transformation:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"3Nh-kUBjcjHM"},"outputs":[],"source":["df['Age'] = np.log(df['Age'])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":295},"executionInfo":{"elapsed":856,"status":"ok","timestamp":1649219866087,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"raNntPlbcZeh","outputId":"c4b47095-930a-43fd-9f43-61ed977c3083"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["sns.histplot(df.Age).set_title('Age Distribution');"]},{"cell_type":"markdown","metadata":{"id":"HGkdZXy9Zzru"},"source":["After applying the log transformation data has been normalized."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":279},"executionInfo":{"elapsed":359,"status":"ok","timestamp":1649219867709,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"AO1xYjcU1BiI","outputId":"7c8d0f24-68cb-4810-f1ea-469a7de10510"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["# boxplot\n","\n","sns.boxplot(x=df.Age);"]},{"cell_type":"markdown","metadata":{"id":"EBUp2sAQEMjx"},"source":["Log transformation of this column also took care of the outliers."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":351,"status":"ok","timestamp":1649219870878,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"oUw2Kyoc1WTC","outputId":"e57b6aa9-b858-4ed7-fff7-d0193ddef5bb"},"outputs":[{"data":{"text/plain":["male      690\n","female    310\n","Name: Sex, dtype: int64"]},"execution_count":18,"metadata":{},"output_type":"execute_result"}],"source":["#We will analyse sex column now.\n","\n","df.Sex.value_counts()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":301},"executionInfo":{"elapsed":9,"status":"ok","timestamp":1649219871122,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"Qq59JSYX1WWE","outputId":"4b469983-c1e4-4823-f781-8124195979de"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["#plotting bar graph\n","\n","sns.set_theme(style=\"darkgrid\")\n","ax = sns.countplot(x=df.Sex, palette=\"Set3\")\n","ax.set_title('Gender count');"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":15,"status":"ok","timestamp":1649219871447,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"Ye1CmdRL1cKw","outputId":"205aae36-196b-4bb3-b27b-4918524bf104"},"outputs":[{"data":{"text/plain":["2    630\n","1    200\n","3    148\n","0     22\n","Name: Job, dtype: int64"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["#We will analyse job column now.\n","\n","df.Job.value_counts()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":301},"executionInfo":{"elapsed":226,"status":"ok","timestamp":1649219873245,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"UO0UBtLn1cM4","outputId":"dd98855f-aa4c-4e46-dac4-46245d3bece6"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["#plotting bar graph\n","\n","sns.set_theme(style=\"darkgrid\")\n","ax = sns.countplot(x=df.Job, palette=\"Set3\")\n","ax.set_title('Job count');"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":237,"status":"ok","timestamp":1649219875079,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"xSA7DXWO1cPI","outputId":"5db04557-0bab-4cfe-dc44-0cc50dad8250"},"outputs":[{"data":{"text/plain":["own     713\n","rent    179\n","free    108\n","Name: Housing, dtype: int64"]},"execution_count":22,"metadata":{},"output_type":"execute_result"}],"source":["# We will analyse Housing column now.\n","\n","df.Housing.value_counts()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":301},"executionInfo":{"elapsed":208,"status":"ok","timestamp":1649219876844,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"frNmxbG41cTe","outputId":"0cdff0bc-4f4e-4a5e-bdae-cf98b1884407"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# plotting bar graph\n","\n","sns.set_theme(style=\"darkgrid\")\n","ax = sns.countplot(x=df.Housing, palette=\"Set3\")\n","ax.set_title('Housing count');"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":142,"status":"ok","timestamp":1649219879711,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"2Npx9QM01tqx","outputId":"baf5d805-2a6a-47aa-e55a-ef4e3c1ce083"},"outputs":[{"data":{"text/plain":["little        786\n","moderate      103\n","quite rich     63\n","rich           48\n","Name: Saving accounts, dtype: int64"]},"execution_count":24,"metadata":{},"output_type":"execute_result"}],"source":["# We will analyse Saving accounts column now.\n","\n","df['Saving accounts'].value_counts()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":301},"executionInfo":{"elapsed":389,"status":"ok","timestamp":1649219881995,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"OZH_Fpen1tts","outputId":"047a4608-6a71-452c-d321-2dbed3d884c8"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# plotting bar graph\n","\n","sns.set_theme(style=\"darkgrid\")\n","ax = sns.countplot(x=df['Saving accounts'], palette=\"Set3\")\n","ax.set_title('Saving accounts count');"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":301},"executionInfo":{"elapsed":272,"status":"ok","timestamp":1649219883617,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"UKdIzPIO14hG","outputId":"2122a3ef-5591-47fc-d1c3-8c773b2d9e06"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# plotting bar graph\n","\n","sns.set_theme(style=\"darkgrid\")\n","ax = sns.countplot(x=df['Checking account'], palette=\"Set3\")\n","ax.set_title('Checking account count');"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":301},"executionInfo":{"elapsed":751,"status":"ok","timestamp":1649219886449,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"5PA2y_5519Rp","outputId":"63a190af-9904-4e5c-8528-927e450956fe"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# lets plot histogram, boxplot and Q-Q plot to understand more about this column\n","\n","sns.histplot(df['Credit amount']).set_title('Credit amount histogram');"]},{"cell_type":"markdown","metadata":{"id":"3Y2Zs07v2AHT"},"source":["From histogram we can see the data to be slightly skewed towards right."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":285},"executionInfo":{"elapsed":329,"status":"ok","timestamp":1649219888635,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"CcuAzcl-Du20","outputId":"6349f057-533e-4327-f9fc-c0c870cbdb6c"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# boxplot\n","\n","sns.boxplot(x=df['Credit amount']);"]},{"cell_type":"markdown","metadata":{"id":"UdDjZmLfDu23"},"source":["There are also outliers in this column."]},{"cell_type":"markdown","metadata":{"id":"YYOPPTTDe2VV"},"source":["## Applying the log transformation:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"0pbbpSY2eUxC"},"outputs":[],"source":["df['Credit amount'] = np.log(df['Credit amount'])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":301},"executionInfo":{"elapsed":564,"status":"ok","timestamp":1649219892906,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"hZgi7DoTeaUu","outputId":"670f44e7-c694-461d-a412-687dc2fb19f2"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["sns.histplot(df['Credit amount']).set_title('Credit amount histogram');"]},{"cell_type":"markdown","metadata":{"id":"LVBCz7gGaEu7"},"source":["After applying the log transformation data has been normalized."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":285},"executionInfo":{"elapsed":482,"status":"ok","timestamp":1649219895495,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"nYVBzExo19Tj","outputId":"8ed7561b-9ad8-4226-8596-203ac2e0226e"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# boxplot\n","\n","sns.boxplot(x=df['Credit amount']);"]},{"cell_type":"markdown","metadata":{"id":"bdhzJskfD4gO"},"source":["Log transformation of this column also took care of the outliers."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":301},"executionInfo":{"elapsed":599,"status":"ok","timestamp":1649219901819,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"I5m1slW119Vm","outputId":"0cf88572-119b-4ec2-a2ec-ed910f4b77f5"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# lets plot histogram, boxplot and Q-Q plot to understand more about this column\n","\n","sns.histplot(df.Duration).set_title('Duration histogram');"]},{"cell_type":"markdown","metadata":{"id":"ahbP6wDm2I8k"},"source":["From histogram we can see the data to be slightly skewed towards right."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":285},"executionInfo":{"elapsed":334,"status":"ok","timestamp":1649219903528,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"sZ22hhPrElhX","outputId":"a4fbc4d9-2871-425f-b845-6beee0e28249"},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAV0AAAEMCAYAAABnWmXlAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAQ20lEQVR4nO3de1BU9f/H8Re7iKg/v1w0FNF0yq9IdrH4g/FKYl8vE6jlTBdGv5Y61miO5ThmmjV5K6opG6W00eZn87WaUnHQzNKoHMkU0zLmN5Y5fhGFUAhQFEnY8/vD2AS8MbHv3dXnY6bJs7ud8+bs6dnHE6whjuM4AgCYcPl7AAC4kRBdADBEdAHAENEFAENEFwAMEV0AMER0AcBQ6NVeUF5+Rh5PYH8rb4cO/6Oysip/j9EszGwj2GYOtnklZm7M5QpRVFS7yz5/1eh6PE7AR1dSUMzYGDPbCLaZg21eiZmbg9sLAGCI6AKAIaILAIaILgAYIroAYIjoAoAhogsAhoguABgiugBgiOgCgCGiCwCGiC4AGCK6AGCI6AKAIaILAIaILgAYIroAYIjoAoChq/5xPdeDDz54X4WFBSbHqqyskCRFRERe8XWtWrl1/nzd3z5et27dlZ7+77+9HwA2bojoFhYW6OdDv8odfuUQtoS6cxeie/JUrdmxAASPGyK6kuQOj1Tb7kN9fpyzBV9KkumxAAQP7ukCgCGiCwCGiC4AGCK6AGCI6AKAIaILAIaILgAYIroAYIjoAoAhogsAhoguABgiugBgiOgCgCGiCwCGiC4AGCK6AGCI6AKAIaILAIaILgAYIroAYIjoAoAhogsAhoguABgiugBgiOgCgCGiCwCGiC4AGCK6AGCI6AKAIaILAIaILgAYIroAYIjoAoAhogsAhoguABgiugBgiOgCgCGiCwCGiC4AGCK6AGDIJ9HNzd2h3Nwdvtg10KK4VmEt1Bc73bnzG0nSgAGDfbF7oMVwrcIatxcAwBDRBQBDRBcADBFdADBEdAHAENEFAENEFwAMEV0AMER0AcAQ0QUAQ0QXAAwRXQAwRHQBwBDRBQBDRBcADBFdADBEdAHAENEFAENEFwAMEV0AMER0AcAQ0QUAQ0QXAAwRXQAwRHQBwBDRBQBDRBcADBFdADBEdAHAENEFAENEFwAMEV0AMER0AcAQ0QUAQ0QXAAwRXQAwRHQBwBDRBQBDRBcADBFdoJlycrZp4sR0ffPNl5d9TUVFuV55ZYEqKyskSRMnpnv/8rWjR/+radMmqbCwwOfHWrJkgdLS0vTqq4t8fixLjd+/lkR0gWb6z3/+V5K0Zs17l33Npk1ZOnToZ2VnbzCa6i/vvpup6upqrVy53OfH+vXXg5Kkgwf/z+fHsuTL94/oAs2Qk7NNkvPnlnPJ1W5FRbl27vxGjuNo584dTVa3vlztHj36XxUVHZckFRUd9+lqd8mSBQ22r5fVbuP3r6VXu6Eturc/VVZWqLKyUhkZC32x+yZatXLr/Pm6yz5/9GiBPHVuk1kseWrP6ejRgoA5z4HoWq6NiIiIa95f/Sq33po17yk5eWiDxzZtypLHcyHMHo/n2odtAe++m9lge+XK5Vq06DWfHKt+lVvvelntNn7/srM3aPz4iS22f1a6QLM4V9mWdu3KVV1drSR5/26lfpV7uW1cXeP3b9eu3Bbdv09WuhERkYqIiNSzz873xe6buOmm9jp58vRln8/IWKhfC0tNZrHkCg3Xzd06Bsx5DkTXcm00T4gahjakySv69RugHTu+Vl1drdzuUNPwdukS1yC0XbrEmR37etH4/evXb0CL7p+VLtAM48Y91mB7woSmv+1MS3tALteFGLtctv+KTZkyrcH2E0885bNj9ezZu8F27963+exYlhq/f6NGPdii+ye6QDOkpPxLf61uQ5rcz5WkyMgoDRyYrJCQEA0cOFjvvfdBg+cbb7ekm2/u4V3ddukSp27duvvsWHPnvtBge/bs5312LEuN37+IiMgW3T/RBZqpfrV7qVVuvbS0B/TPf8a3+CrpWkyZMk1t2rTx6Sq3Xv1q93pZ5dbz5fvnk3u6wPUsJeVff654Ly8yMkpz5vy1EvTl6raxm2/uoczM1SbHmjv3haC81381jd+/lsRKFwAMEV0AMER0AcAQ0QUAQ0QXAAwRXQAwRHQBwBDRBQBDRBcADBFdADBEdAHAENEFAENEFwAMEV0AMER0AcAQ0QUAQ0QXAAwRXQAwRHQBwBDRBQBDRBcADBFdADBEdAHAENEFAENEFwAMEV0AMER0AcAQ0QUAQ0QXAAwRXQAwRHQBwBDRBQBDRBcADBFdADBEdAHAENEFAENEFwAMhfpipwMHJvtit0CL41qFNZ9Ed8CAwb7YLdDiuFZhjdsLAGCI6AKAIaILAIaILgAYIroAYIjoAoAhogsAhoguABgiugBgiOgCgCGiCwCGiC4AGCK6AGCI6AKAIaILAIaILgAYIroAYIjoAoAhogsAhoguABgiugBgiOgCgCGiCwCGiC4AGCK6AGCI6AKAIaILAIaILgAYIroAYIjoAoAhogsAhoguABgiugBgiOgCgCGiCwCGiC4AGCK6AGCI6AKAIaILAIaILgAYIroAYCjU3wNYqTtXobMFX5ocR5LhsTr6/DgAWs4NEd1u3bqbHauy8sIpjYiIvOLrWrVy6/z5ur95tI6mXxuAv++GiG56+r/9PUITN93UXidPnvb3GACMcU8XAAwRXQAwRHQBwBDRBQBDRBcADBFdADBEdAHAENEFAENEFwAMEV0AMER0AcAQ0QUAQ0QXAAwRXQAwRHQBwBDRBQBDRBcADBFdADB01T+ux+UKsZjjbwuWOS/GzDaCbeZgm1di5ubsN8RxHMcnRwYANMHtBQAwRHQBwBDRBQBDRBcADBFdADBEdAHAENEFAENEFwAMEV0AMHTVHwMOJBkZGfr88891/Phxbdq0Sb169ZIkHTlyRHPmzFFFRYUiIyOVkZGhHj16+HfYP5WXl2v27Nk6evSowsLC1L17dy1YsEDR0dH64Ycf9MILL6impkZxcXF67bXX1KFDB3+PLEmaOnWqjh07JpfLpbZt22r+/PlKSEgI6HMtScuXL9eyZcu810cgn+OUlBSFhYWpdevWkqRZs2Zp0KBBAT1zTU2NlixZol27dql169bq27evFi5cGLDXxbFjxzRt2jTv9unTp1VVVaU9e/b4b2YniOTl5TlFRUXOkCFDnJ9//tn7+Pjx452NGzc6juM4GzdudMaPH++vEZsoLy93vvvuO+/2K6+84jz33HNOXV2dc9999zl5eXmO4zhOZmamM2fOHH+N2cSpU6e8v962bZszZswYx3EC+1zn5+c7kyZN8l4fgX6OG1/HjuME/MwLFy50Fi9e7Hg8HsdxHOfkyZOO4wT2dXGxRYsWOS+99JLjOP6bOaiiW+/ii7W0tNRJTEx0amtrHcdxnNraWicxMdEpKyvz54iXtXXrVmfChAnOjz/+6Nx///3ex8vKypy+ffv6cbLLy8rKch544IGAPtc1NTXOQw895BQWFnqvj0A/x5eKbiDPXFVV5SQmJjpVVVUNHg/k6+JiNTU1TlJSkpOfn+/XmYPq9sKlFBcXq1OnTnK73ZIkt9utmJgYFRcXKzo62s/TNeTxePThhx8qJSVFxcXF6tKli/e56OhoeTwe7291AsG8efOUm5srx3G0atWqgD7Xb731lkaNGqWuXbt6HwuGczxr1iw5jqPExETNnDkzoGcuLCxUZGSkli9frt27d6tdu3aaMWOGwsPDA/a6uFhOTo46deqkPn36KD8/328z8z/SDC1cuFBt27bVuHHj/D3KNVm8eLG+/vprPfPMM3r11Vf9Pc5l7d+/X/n5+UpPT/f3KM2ydu1aZWdna/369XIcRwsWLPD3SFdUV1enwsJC3XbbbdqwYYNmzZql6dOn6+zZs/4e7ZqsX79eY8eO9fcYwR/d2NhYlZSUqK6uTtKFC+PEiROKjY3182QNZWRkqKCgQEuXLpXL5VJsbKyKioq8z//+++9yuVx+X81cypgxY7R792517tw5IM91Xl6eDh8+rKFDhyolJUW//fabJk2apIKCgoA+x/XnLSwsTOnp6dq3b19AXxexsbEKDQ1VamqqJOmuu+5SVFSUwsPDA/K6uFhJSYny8vKUlpYmyb/dCProdujQQQkJCdq8ebMkafPmzUpISAio39a88cYbys/PV2ZmpsLCwiRJt99+u86dO6e9e/dKkj766CONGDHCn2N6nTlzRsXFxd7tnJwcRUREBOy5njJlinbu3KmcnBzl5OSoc+fOWr16tSZPnhyw5/js2bM6ffq0JMlxHG3ZskUJCQkBfV1ER0crKSlJubm5ki5811BZWZl69OgRkNfFxbKyspScnKyoqChJ/u1GUH2I+aJFi/TFF1+otLRUUVFRioyM1KeffqrDhw9rzpw5OnXqlP7xj38oIyNDt9xyi7/HlSQdOnRIqamp6tGjh8LDwyVJXbt2VWZmpvbt26cXX3yxwbcGdezY0c8TS6WlpZo6daqqq6vlcrkUERGhZ599Vn369Anoc10vJSVFK1asUK9evQL2HBcWFmr69Omqq6uTx+PRrbfequeff14xMTEBO7N0Ye65c+eqoqJCoaGhevrpp5WcnBzw18Xw4cM1b948DR482PuYv2YOqugCQLAL+tsLABBMiC4AGCK6AGCI6AKAIaILAIaILq5bkydPVlZWlr/HABrgW8bgEykpKSotLZXb7Zbb7VbPnj01evRoPfzww3K5Wv6/9cuWLVNBQYFef/31Ft830JKC/gNvELhWrFih/v376/Tp09qzZ48WL16sAwcO6OWXX27WfmpraxUayqWK6wO3F+Bz7du319ChQ7V06VJlZWXpl19+0fjx4/XJJ594X7NhwwY9+uij3u34+HitXbtWw4YN07BhwyRd+InE5ORk3XPPPXrwwQe9Pyq7Y8cOrVy5Up999pnuvvtujRo1SpIaHMPj8ejtt9/WkCFD1K9fP82ePdv7Y7jHjh1TfHy8srKydO+99yopKUnvvPOOybnBjYfowsydd96pzp07e2N5Ndu3b9fHH3+sLVu2SJLuuOMObdy4UXv27FFqaqpmzJihmpoaDR48WE888YRGjhyp/fv3Kzs7u8m+NmzYoKysLL3//vvavn27zp492+RTvb7//ntt3bpVa9asUWZmpg4fPvz3v2igEaILUzExMaqsrLym106ZMkWRkZHez6wYPXq0oqKiFBoaqokTJ+qPP/7QkSNHrmlfmzZt0mOPPaZu3bqpXbt2mjlzprZs2aLa2lrva5566imFh4erd+/e6t27tw4ePNj8LxC4Cm6UwVRJSYkiIiKu6bWNP2Zv9erVWrdunU6cOKGQkBBVVVWpvLz8mvZ14sQJxcXFebfj4uJUW1ursrIy72MXf6hMmzZtguZzYhFcWOnCzIEDB1RSUqLExES1adNG1dXV3udKS0ubvD4kJMT7671792rVqlVaunSp8vLytHfvXrVv317133xz8WsvJSYmRsePH/duFxUVKTQ0NGD+wEfcOIgufK6qqkpfffWVZs6cqVGjRik+Pl4JCQnatm2bqqurVVBQoHXr1l1xH2fOnJHb7VZ0dLRqa2u1fPlyVVVVeZ/v0KGDjh8/Lo/Hc8l/PjU1VWvWrFFhYaHOnDmjN998UyNHjuS7ImCOKw4+8+STT8rtdsvlcqlnz556/PHH9cgjj0iSJkyYoJ9++kn9+/dXfHy80tLS9O233152XwMHDtSgQYM0fPhwtW3bVhMmTGhw+2HEiBHKzs5WUlKSunbt2uSHIsaOHauSkhKNGzdONTU1GjhwoObPn++bLxy4An44AgAMcXsBAAwRXQAwRHQBwBDRBQBDRBcADBFdADBEdAHAENEFAENEFwAM/T/YkGymo8BNaQAAAABJRU5ErkJggg==","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# boxplot\n","\n","sns.boxplot(x=df.Duration);"]},{"cell_type":"markdown","metadata":{"id":"jOsU6NVlElh5"},"source":["There are also outliers in this column."]},{"cell_type":"markdown","metadata":{"id":"W0mUM3lPe4PG"},"source":["## Applying the log transformation:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Cc9sh_3HevRl"},"outputs":[],"source":["df['Duration'] = np.log(df['Duration'])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":301},"executionInfo":{"elapsed":702,"status":"ok","timestamp":1649219906193,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"or65yJImevRm","outputId":"d9847b20-08b2-483f-acdf-1bd3897339fe"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["sns.histplot(df['Duration']).set_title('Duration');"]},{"cell_type":"markdown","metadata":{"id":"teXXfxzlaGhG"},"source":["After applying the log transformation data has been normalized."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":285},"executionInfo":{"elapsed":390,"status":"ok","timestamp":1649219907677,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"1JirMWfp19YQ","outputId":"177093f0-2f6c-4f3b-d177-5ee04895916c"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# boxplot\n","\n","sns.boxplot(x=df.Duration);"]},{"cell_type":"markdown","metadata":{"id":"H0kJF3-7EG6l"},"source":["Log transformation of this column also took care of the outliers."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":149,"status":"ok","timestamp":1649219909637,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"7XGOKNt119ah","outputId":"d602d341-2656-4132-8483-83eda81f8c4f"},"outputs":[{"data":{"text/plain":["car                    337\n","radio/TV               280\n","furniture/equipment    181\n","business                97\n","education               59\n","repairs                 22\n","domestic appliances     12\n","vacation/others         12\n","Name: Purpose, dtype: int64"]},"execution_count":37,"metadata":{},"output_type":"execute_result"}],"source":["# We will analyse Purpose column now.\n","\n","df['Purpose'].value_counts()"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":705},"executionInfo":{"elapsed":465,"status":"ok","timestamp":1649219912380,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"6KDZuPed2Ssx","outputId":"efba3bc0-fd7b-4761-9cf1-60c00f8efddd"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1008x720 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# plotting bar graph for Purpose feature\n","\n","fig, ax = plt.subplots(figsize=(14, 10))\n","sns.set_theme(style=\"darkgrid\")\n","ax = sns.countplot(x=df['Purpose'], palette=\"Set3\")\n","plt.title('Purpose feature breakdown')\n","plt.xticks(rotation=45);"]},{"cell_type":"markdown","metadata":{"id":"hDIgOSDGLgk1"},"source":["The histogram chart shows that most of credit purpose is related to car prurchase followed by radio/TV one."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":501},"executionInfo":{"elapsed":1620,"status":"ok","timestamp":1649219958181,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"AfEtxZ6-KAXW","outputId":"62dcac5d-af16-4d87-eae1-e7884cec5434"},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAosAAAHkCAYAAABWoGUFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzdd3xUVf7/8fdkUghpFBMIIKABMSiYIE0QRIoIhFCERYOI7C5FJSgrSFyls/qlLChN7MAiC0qVyGJBRQQ3yloAQ5ciEEgkhPQ2ub8/+DkaJ5MEx0kmk9dzH/fxyJw5c+ZzkvtwP3zOPfeaDMMwBAAAAJTAo7IDAAAAgOsiWQQAAIBdJIsAAACwi2QRAAAAdpEsAgAAwC6SRQAAANhFsgig0sTFxWnRokW/+/ORkZH68ccf/8CIAAC/RbIIXIPu3burdevWioyMVKdOnRQXF6esrKzKDut3y8/P15IlS3TPPfcoIiJC3bt319NPP62zZ89Wdmg2RowYoXfeeadY2zfffKPrr7++wmJYsmSJJk2aZNPeokULnT592uHxHU2eAcAZSBaBa7RixQp988032rx5sw4ePKiXXnrpDx2/sLDwDx2vNBMmTNDHH3+sBQsWaN++fdq6datuvfVWffHFF9c81m/jNgxDRUVFf1SoAIBKQrII/E716tVTly5ddOzYMUnSt99+q/vvv19t27ZVdHS0EhISrH03btyoPn36KDIyUj169NC6deus7yUkJKhr16565ZVX1LlzZz399NNKTU3V2LFj1bZtW7Vv314xMTHWxOvEiRMaMWKE2rZtq379+mnnzp3WseLi4jRz5kyNGTNGkZGRGjp0qM6cOVNi/Hv37tXevXu1fPlytW7dWp6engoICNDw4cM1dOhQSdLFixc1btw4tW/fXr169dLbb79t/fySJUs0YcIETZo0SW3atNHmzZs1YsQILVq0SPfff79uu+02/fjjjzpx4oRGjRql9u3bq3fv3tq+fXuJ8Vy5ckVjx45Vx44d1a5dO40dO1YXLlyQJC1atEj79u3TrFmzFBkZqVmzZkkqXtHLyMjQU089pY4dO+ruu+/W8uXLrb+zTZs26YEHHtDcuXPVrl07de/eXbt27bJ+96ZNm9SjRw9FRkaqe/fuevfdd8tzCpSoqKhIr7zyinr27KkOHTro8ccfV1pamvX9CRMmqHPnzrr99ts1fPhw6/mzfv16bdu2Ta+//roiIyM1btw4SVer2a+99pr69++viIgI/f3vf9dPP/2kv/71r4qMjNTDDz+sK1eulDm+dPX8mDZtmkaNGqXIyEg9+OCDOnfu3O+eK4BqwgBQbnfffbexZ88ewzAM4/z580bfvn2NRYsWGRcuXDDat29vfPrpp4bFYjE+//xzo3379salS5cMwzCMTz75xDh9+rRRVFRkJCQkGK1btzYOHjxoGIZh/Pe//zXCw8ONefPmGXl5eUZOTo6xYMECY+rUqUZ+fr6Rn59vfPXVV0ZRUZGRn59v9OzZ03jppZeMvLw8Y+/evUZERIRx4sQJwzAMY8qUKUb79u2N7777zigoKDD+9re/GU888USJc5k/f74xfPjwUucbExNjTJ8+3cjNzTUSExONDh06GHv37jUMwzAWL15stGzZ0vjwww8Ni8Vi5OTkGA8++KBx1113GUePHjUKCgqM9PR0o2vXrsaGDRuMgoIC4/vvvzfat29vHDt2zBrvwoULDcMwjNTUVGPHjh1Gdna2kZGRYcTGxhqPPPKINZYHH3zQePvtt4vFd9NNNxmnTp0yDMMwJk+ebIwbN87IyMgwfvzxR+Oee+6x9t+4caPRsmVLY/369UZhYaHx1ltvGZ07dzaKioqMrKwsIzIy0vo7vHjxonH06NESfx+LFy82nnzySZv2X8excuVKY+jQoUZSUpKRl5dnTJ061Zg4caK17zvvvGNkZGQYeXl5xpw5c4zo6Gjre7/+ffzs7rvvNoYOHWqkpKQYFy5cMDp27GgMHDjQ+P77743c3FxjxIgRxpIlS8o9fkREhPHll18aeXl5xuzZs43777+/xLkCwM+oLALX6LHHHlPbtm0VExOjdu3aady4cdq6dau6du2qu+66Sx4eHurcubNuvfVWa/WqW7duaty4sUwmk9q3b6/OnTtr37591jE9PDw0YcIEeXt7q0aNGvL09FRKSorOnz8vLy8vtW3bViaTSd99952ys7M1ZswYeXt764477tDdd9+t9957zzpWz549rZXC6OhoHTp0qMR5pKWlKTg42O48k5KS9PXXX2vSpEny8fFReHi4hg4dqq1bt1r7REREqGfPnvLw8FCNGjUkSYMGDVLz5s3l6emp3bt3q2HDhrrvvvvk6empli1bqnfv3tqxY4fN99WuXVu9e/eWr6+v/P399cgjj+irr74q19/EYrFo+/btevLJJ+Xv769GjRpp1KhRxSqEDRo00J/+9CeZzWYNGjRIKSkp+umnn6y//2PHjik3N1chISFq3ry53e/asWOH2rZtW+z4tXXr1mnixImqX7++vL29NX78eL3//vvWZfohQ4bI399f3t7eio2N1eHDh5WRkVHq/B588EFdd911qlevntq2bavWrVurZcuW8vHxUa9evZSYmGjtW9b43bp1U7t27eTt7a2JEyfq22+/VVJSUrl+zwCqJ8/KDgCoapYtW6ZOnToVazt//rx27NihTz75xNpWWFioDh06SJJ27dqlZcuW6dSpUyoqKlJubq5uuukma9/atWvLx8fH+vovf/mLli5dqj//+c+SpGHDhmnMmDFKTk5W/fr15eHxy7/zGjRooIsXL1pfX3fdddafa9Sooezs7BLnUatWLZ06dcruPJOTkxUUFCR/f/9i33Xw4EHr6/r169t8LjQ01PrzuXPntH///mIJlcViUXR0tM3ncnJy9Pzzz2v37t3WZdWsrCxZLBaZzWa7cUrS5cuXVVBQoAYNGhSL1d7vxdfXV5KUnZ2t4OBgLVq0SG+88YaeeeYZtWnTRlOmTFFYWFiJ33XvvfdqwYIFxdpatGhh/fn8+fN67LHHiv2NPDw8dOnSJV133XVatGiRduzYodTUVGufy5cvKyAgwO78fh27j4+P3b+xxWIpc/xf/838/PwUFBSk5OTkYn83APg1kkXgDxAaGqoBAwZozpw5Nu/l5+drwoQJmjt3rnr06CEvLy89+uijMgzD2sdkMhX7jL+/v+Li4hQXF6ejR49q5MiRatWqlUJCQnThwgUVFRVZE4GkpCQ1bdr0mmPu1KmTVq9erQsXLpSY9IWEhOjKlSvKzMy0JoxJSUmqV6+e3bh/2xYaGqp27drpzTffLDOeN954QydPntTbb7+t4OBgHTp0SAMHDiz2e7Kndu3a8vLy0vnz59WsWbMSYy1Nly5d1KVLF+Xm5uqFF17Q1KlTtXbt2nJ99rfq16+v5557TrfffrvNe1u2bNHOnTv15ptvqlGjRsrIyFC7du2scyzp93kttm3bVur4kqzXgUpXk/ErV64oJCTEoe8F4N5Yhgb+ANHR0frkk0+0e/duWSwW5eXlKSEhQRcuXFB+fr7y8/NVp04deXp6ateuXdqzZ0+p433yySc6ffq0DMNQQECAzGazTCaTWrdurRo1aui1115TQUGBEhIS9PHHH6tv377XHHOnTp3UqVMnPfbYYzp48KAKCwuVmZmpf//739qwYYNCQ0MVGRmphQsXKi8vT4cPH9aGDRtKrAra061bN506dUpbtmxRQUGBCgoKtH//fp04ccKmb1ZWlnx8fBQYGKi0tDQtXbq02PvXXXed3Xsqms1m3XvvvVq0aJEyMzN17tw5vfnmm+WK9aefftJHH32k7OxseXt7q2bNmsWqgtfqgQce0AsvvGDdOJKamqqPPvrIOkdvb2/Vrl1bOTk5WrhwYbHP1q1b16HbFpU1vnS1yr1v3z7l5+frxRdf1G233UZVEUCpSBaBP0BoaKiWL1+ul19+WXfccYfuuusuvf766yoqKpK/v7+effZZPfHEE2rXrp3i4+PVvXv3Usc7ffq0dcfqsGHD9MADD6hjx47y9vbWihUr9Nlnn6ljx46aOXOm5s2bZ3fJtCyLFy/WXXfdpYkTJ6pt27bq37+/Dh48aF1mX7hwoc6dO6cuXbpo/Pjxio2NtVmCL42/v79ef/11bd++XV26dNGdd96pBQsWKD8/36bvyJEjlZeXp44dO2rYsGHq0qVLsfcfeughvf/++2rXrl2JFdypU6fK19dXPXv2VExMjKKionTfffeVGWNRUZFWrlypLl26qH379vrqq680Y8aMcs/xtx566CF1795df/7znxUZGak//elP2r9/vyRp4MCBatCggbp06aJ+/fopIiKi2GeHDBmi48ePq23btnr00Uev+bvLGl+SoqKitGzZMnXo0EHff/+95s+f//smCqDaMBnlWeMBAFR5cXFxqlevniZOnFjZoQCoQqgsAgAAwC6SRQAAANjFMjQAAADsorIIAAAAu7jPIgAAgIN8Gz/glHFzzvzbKeNeiwpNFlNSSn+kFaqf4OAAzgvY4LxASTgvUJLgYPtPP8Ifg2VoAAAA2MUyNAAAgINMJvetv5EsAgAAOMjkxou17jszAAAAOIzKIgAAgIPceRnafWcGAAAAh1FZBAAAcJA7VxZJFgEAABxkMpkqOwSncd80GAAAAA6jsggAAOAw962/ue/MAAAAqpGTJ09q2LBh6t27t4YNG6ZTp06V2G/79u3q37+/oqKi1L9/f/3000+ljktlEQAAwEGusMFl+vTpiomJ0YABA7R161ZNmzZNq1evLtbnwIEDWrp0qVatWqXg4GBlZGTI29u71HErf2YAAAAoUXp6us6ePWtzpKenF+t36dIlJSYmKioqSpIUFRWlxMREpaamFuu3cuVK/fnPf1ZwcLAkKSAgQD4+PqXGQGURAADAQc6qLK5atUpLly61aR8/frxiY2Otr5OSklSvXj2ZzWZJktlsVkhIiJKSklSnTh1rvxMnTqhRo0YaPny4srOz1atXLz3yyCOl7uYmWQQAAHCQs54NPXLkSA0aNMimPTAw8HeNZ7FYdOTIEb355pvKz8/XX//6VzVo0EADBw60+xmSRQAAABcVGBhYrsQwNDRUFy9elMVikdlslsViUXJyskJDQ4v1a9Cgge699155e3vL29tbPXr00P79+0tNFrlmEQAAwEEmk4dTjvKqW7euwsPDFR8fL0mKj49XeHh4sSVo6eq1jJ9//rkMw1BBQYH++9//6uabby51bJJFAAAANzBjxgytWbNGvXv31po1azRz5kxJ0ujRo3XgwAFJUr9+/VS3bl317dtXAwcOVLNmzTRkyJBSxzUZhmE4Pfr/LyUlo6K+ClVEcHAA5wVscF6gJJwXKElwcEBlhyBJqnvTBKeMe+noYqeMey24ZhEAAMBBrnCfRWdx35kBAADAYVQWAQAAHGSS/fsUVnVUFgEAAGAXlUUAAAAHufM1iySLAAAADnLnZNF9ZwYAAACHUVkEAABwEJVFAAAAVEtUFgEAABzmvvU3kkUAAAAHsQwNAACAaonKIgAAgIOoLAIAAKBaorIIAADgIJMb19/cd2YAAABwGJVFAAAAB7nzNYskiwAAAA4ymUyVHYLTuG8aDAAAAIdRWQQAAHCQOy9Du+/MAAAA4DAqiwAAAA5y51vnkCwCAAA4iGVoAAAAVEtUFgEAABxEZREAAADVUpnJYk5OjhYtWqQnn3xSknTixAl99NFHTg8MAACgqjDJwymHKygzihkzZshisejw4cOSpPr162vp0qVODwwAAKDKMHk453ABZUZx5MgRTZo0SV5eXpIkPz8/FRUVOT0wAAAAVL4yN7h4e3sXe52XlyfDMJwWEAAAQFXjzhtcykwW27ZtqxUrVig/P18JCQl688031b1794qIDQAAAJWszDR44sSJMgxDfn5+mj9/vlq3bq3Y2NiKiA0AAKBKMJlMTjlcQZmVRS8vLz3yyCN65JFHKiIeAAAAuJAyk8V58+bZtAUEBCgiIkJ33HGHU4ICAACoSlzlNjfOUObMLl26pPfff18Wi0UWi0UffPCBjh49queff14vvfRSRcQIAADg0kwmD6ccrqDMKJKTk7Vp0yY9/fTTevrpp7Vp0yalpqZq7dq12rZtW0XECAAAgEpS5jL0xYsXFRQUZH0dGBiolJQU+fv729xWBwAAoFpykc0ozlBmstisWTNNnTpVgwcPliRt3rxZYWFhys/Pl4eHa5RHAQAA4BxlJovPPfecli5dqtmzZ0uSOnTooOjoaJnNZr322mtODxAAAMDluXH9rMxk0d/fX3Fxcbp48aI2b96szZs3a+fOnfrggw9Up06diogRAADAtVXXZejCwkLt3LlTGzdu1HfffafCwkK9/vrrioiIqKj4AAAAUInsFk2fe+453XXXXVq/fr369++vXbt2KSgoiEQRAADgt0wm5xwuwG5lcf369YqIiNCYMWPUsWNHSXKZx84AAACgYthNFnfv3q1t27Zp3rx5unLligYOHCiLxVKRsQEAAFQNbrzBxe7UAgMDNXz4cG3atEnLli1Tenq68vLyNHz4cK1bt64iYwQAAHBphsnklMMVlCsPvvnmm/XMM8/os88+04MPPqidO3c6Oy4AAAC4gDJvnfNrXl5e6tOnj/r06eOseAAAAKoe1ygCOoUbr7ADAADAUddUWQQAAEAJPNy3tEhlEQAAAHZRWQQAAHCUi+xcdgaSRQAAAEe5b67IMjQAAADso7IIAADgKDa4AAAAoDqisggAAOAoNrgAAADALhfIFU+ePKm4uDilpaWpVq1amjt3rpo2bVqsz5IlS7R27VqFhIRIktq0aaPp06eXOi7JIgAAgBuYPn26YmJiNGDAAG3dulXTpk3T6tWrbfoNHDhQU6ZMKfe4JIsAAACOctIGl/T0dKWnp9u0BwYGKjAw0Pr60qVLSkxM1JtvvilJioqK0uzZs5Wamqo6deo4FAPJIgAAgItatWqVli5datM+fvx4xcbGWl8nJSWpXr16MpvNkiSz2ayQkBAlJSXZJIvvvfeePv/8cwUHBys2NlaRkZGlxkCyCAAA4CgnXbM4cuRIDRo0yKb911XFa3H//fdr3Lhx8vLy0p49e/Too49q+/btql27tt3PkCwCAAA4yHDSbujfLjfbExoaqosXL8pischsNstisSg5OVmhoaHF+gUHB1t/7ty5s0JDQ3Xs2DG1b9/e7tjcZxEAAKCKq1u3rsLDwxUfHy9Jio+PV3h4uM0S9MWLF60/Hzp0SOfOndMNN9xQ6thUFgEAABzlAk9wmTFjhuLi4rR8+XIFBgZq7ty5kqTRo0drwoQJatWqlRYuXKjvv/9eHh4e8vLy0rx584pVG0tiMgzDqIgJSFJKSkZFfRWqiODgAM4L2OC8QEk4L1CS4OCAyg5BktQsaqVTxj0e/7BTxr0WVBYBAAAcVfmFRafhmkUAAADYRWURAADAUTwbGgAAAHa5wAYXZ2EZGgAAAHZRWQQAAHCU+xYWqSwCAADAPiqLAAAAjmKDCwAAAOxy42SRZWgAAADYRWURAADAUW5cfnPjqQEAAMBRVBYBAAAc5cbXLJIsAgAAOMp9c0WWoQEAAGAflUUAAAAHGTwbGgAAANURlUUAAABHufEGFyqLAAAAsIvKIgAAgKPct7BIsggAAOAwNrgAAACgOqrQymJwcEBFfh2qCM4LlITzAiXhvIDLYoMLAAAAqqMKrSym5W+vyK9DFVDLu69SUjIqOwy4mODgAM4L2OC8QElcptrsvoVFNrgAAAA4jA0uAAAAqI6oLAIAADiKyiIAAACqIyqLAAAADjLct7BIsggAAOAwlqEBAABQHVFZBAAAcBRPcAEAAEB1RGURAADAUVyzCAAAgOqIyiIAAICj3Lj8RrIIAADgKDa4AAAAoDqisggAAOAoNrgAAACgOqKyCAAA4CDDja9ZJFkEAABwlBuv1brx1AAAAOAoKosAAACOYoMLAAAAqiMqiwAAAI5igwsAAADsYhkaAAAA1RGVRQAAAEe5b2GRyiIAAADso7IIAADgIINrFgEAAFAdUVkEAABwlBtXFkkWAQAAHOXG91lkGRoAAMANnDx5UsOGDVPv3r01bNgwnTp1ym7fH374Qbfddpvmzp1b5rgkiwAAAI7ycNJxDaZPn66YmBi9//77iomJ0bRp00rsZ7FYNH36dPXs2bPcUwMAAEAVdunSJSUmJioqKkqSFBUVpcTERKWmptr0feWVV9StWzc1bdq0XGNzzSIAAICjnHTNYnp6utLT023aAwMDFRgYaH2dlJSkevXqyWw2S5LMZrNCQkKUlJSkOnXqWPsdPnxYn3/+uVavXq3ly5eXKwaSRQAAAEc5aTf0qlWrtHTpUpv28ePHKzY29prGKigo0NSpU/X8889bk8ryIFkEAABwUSNHjtSgQYNs2n9dVZSk0NBQXbx4URaLRWazWRaLRcnJyQoNDbX2SUlJ0ZkzZzRmzBhJV6uWhmEoMzNTs2fPthsDySIAAICjnFRZ/O1ysz1169ZVeHi44uPjNWDAAMXHxys8PLzYEnSDBg2UkJBgfb1kyRJlZ2drypQppY7NBhcAAAA3MGPGDK1Zs0a9e/fWmjVrNHPmTEnS6NGjdeDAgd89rskwDOOPCrIsafnbK+qrUEXU8u6rlJSMyg4DLiY4OIDzAjY4L1CS4OCAyg5BktRkzodOGff0s72cMu61YBkaAADAUW68VuvGUwMAAICjqCwCAAA4imdDAwAAoDqisggAAOAoJ906xxVQWQQAAIBdVBYBAAAc5caVxXIli6mpqfruu+8kSbfddluxu4EDAABUe+6bK5a9DP3BBx+oT58+WrNmjf71r3+pX79++uijjyoiNgAAAFSyMiuLixYt0rp163TDDTdIkk6dOqVHHnlEPXv2dHpwruzKlSz9Y9p6JXxxRLVq+enRx/upd7/bbfoZhqFli+K1ddN/JUkDBnfUYxOjZDKZdOZUshb/c5sOfHdSRRZD4bderyfjBqvJDSGSpPz8Qi1btE0fvf+t8nILdE/fNvrblEHy9DJX6FwBAEDpDDdehi6zsujj42NNFCWpadOmqlGjhlODqgrm/2OjvLzM+s+nszTz/x7U3Dkb9MPxJJt+m9/5Qrs+OaA1GybrrY2TtXvX99r8zl5JUkZGjrrefYve3va0/vPpLLW8tbEmT3jd+tnVr3+kQ4k/au3mp/RO/N91+NBZvfHKBxU2RwAAALvJYk5OjnJyctSjRw+99NJLSklJUXJyslasWKEePXpUZIwuJyc7T598uF9jx/dRzZo+imhzo7p0u0X/2bbPpu/2d79SzEPdVK9+LYXUq6XhI7spfutXkqRbWjVR9OCOCgryk6eXWQ88dJdOn0rWlbQsSdLuT7/XsJiuCgryU+06/hoW00XbNn9ZoXMFAADlYDI553ABdpehIyMjZTKZZBiGJOnFF1+0vmcymTR+/HjnR+eizpxOkdnTQ42bhljbmrdoqG/2Hbfp+8OJC2reouGv+jXQyeMXShz3230/qO51AQqq5Wdt+/n3f/VnKflimjIzcuQf4PtHTAUAAPwR3HgZ2m6yePjw4YqMo0rJzs6Tn1/xpXh//xrKzsqz6ZuTnSd//1/6+vn7Kjs7T4ZhyPSrfzFcvJCm+c9t1OOTB1rb7ugcrvVvfabb2zdXUVGR3l77mSQpNzefZBEAAFSIct065/Lly9Zb50RERKhWrVpODcrV1azpo6ys3GJtWVm5qunnY9PX9zd9szJzVbOmT7FE8XJqpiaMXaH7hnVW775trO0Pj+mpjIwcjRi6QF5eZg0YcoeOHDqnOnUDnDArAADwu7lvYbHsDS67d+9Wnz59tGrVKq1atUp9+/bVnj17KiI2l9W4SbAshUU6czrF2nbsyHndGFbfpu+NYfV17Mj5X/odPa8bmv3SL/1KtiaMXaGu3W7RqDG9in22Rg1vTX7mPsXvnKHNO6YqKKimbm7ZSB4ePHgHAABUjHLdOuett95SWFiYJOnEiROaPHmyOnfu7PTgXJVvTR9169laryz7j56ZMUxHj5zTZ58c1Gv/mmDTt290W/179afq1CVcJpNJa1d9oj/FdJEkZWbm6vFxL6t1xA16bGJ/m88mX0yTyWTSdcGBOrj/tN54+UM9M2uY0+cHAACujTvXccpMFgsLC62JoiSFhYWpsLDQqUFVBU89e5/mTF2ne7tNU1BQTU15dohubBaqb/53QhMfeUWffjlXkjRoaCedO3tJwwfPlyRF39dBg4Z2kiTt2rlfiQfP6IcTF/Te1l92Oa/bGqf6obV17sdLmvnMW0pNzVS9+rX02BNR6tjp5oqfLAAAKJWLbFx2CpPx6+22JXj44YcVHR2twYMHS5I2bdqkd999VytXrrzmL0vL3/67goT7quXdVykpGZUdBlxMcHAA5wVscF6gJMHBrnEd/w3Ldjll3JOP3eWUca9FmZXFWbNmadKkSZo+fbpMJpPCw8M1f/78iogNAACgSnDnyqLdZPH48V/uGfjcc8+pqKhIkuTh4SGTyaT8/Hx5e3s7P0IAAABUGrvJ4pgxY6w/m36TLhcWFio7O1tTpkzRkCFDnBcdAABAFfDbXMmd2E0WP/7441I/mJycrIcffphkEQAAVHtunCuWfZ9Fe0JCQvTAAw/8kbEAAADAxZTrCS72jBgx4o+KAwAAoMqisggAAIBqyaHKIgAAACSTG5ff3HhqAAAAcBSVRQAAAAe58zWLJIsAAAAO8nDjZJFlaAAAANhFZREAAMBB7rwMTWURAAAAdlFZBAAAcJA7VxZJFgEAABxkcuNskWVoAAAA2EVlEQAAwEE8wQUAAADVEpVFAAAAB7nxJYskiwAAAI5y52SRZWgAAADYRWURAADAQVQWAQAAUC1RWQQAAHCQB5VFAAAAVEdUFgEAABzkztcskiwCAAA4yJ2TRZahAQAAYBeVRQAAAAeZ3HiHC5VFAAAA2EVlEQAAwEHufM0iySIAAICD3DlZZBkaAAAAdlFZBAAAcBCVRQAAAFRLVBYBAAAc5MZ3ziFZBAAAcJQrLEOfPHlScXFxSkHCI7cAACAASURBVEtLU61atTR37lw1bdq0WJ+NGzdq5cqV8vDwUFFRkYYOHaqHHnqo1HFJFgEAANzA9OnTFRMTowEDBmjr1q2aNm2aVq9eXaxP7969NXjwYJlMJmVmZqp///5q3769br75Zrvjcs0iAACAg0wezjnK69KlS0pMTFRUVJQkKSoqSomJiUpNTS3Wz9/fX6b/XwbNzc1VQUGB9bU9VBYBAABcVHp6utLT023aAwMDFRgYaH2dlJSkevXqyWw2S5LMZrNCQkKUlJSkOnXqFPvszp07tXDhQp05c0ZPPvmkWrRoUWoMJIsAAAAOctY1i6tWrdLSpUtt2sePH6/Y2NjfNWaPHj3Uo0cPnT9/Xo899pi6du2qG2+80W5/kkUAAAAXNXLkSA0aNMim/ddVRUkKDQ3VxYsXZbFYZDabZbFYlJycrNDQULtjN2jQQK1atdKnn35KsggAAOBMZV3393v9drnZnrp16yo8PFzx8fEaMGCA4uPjFR4ebrMEfeLECYWFhUmSUlNTlZCQoHvuuafUsUkWAQAAHOQKt86ZMWOG4uLitHz5cgUGBmru3LmSpNGjR2vChAlq1aqV1q9frz179sjT01OGYejBBx/UnXfeWeq4JsMwjIqYgCSl5W+vqK9CFVHLu69SUjIqOwy4mODgAM4L2OC8QEmCgwMqOwRJ0l3xe5wy7q6ozk4Z91pQWQQAAHCQK1QWnYX7LAIAAMCuCq0s1vLuW5FfhyrCVZYQ4Fo4L1ASzgu4KneuLLIMDQAA4CAPksU/xpX8HRX5dagCgrzvVefNn1d2GHAxewbdyUYG2GCDC0pCtdn5qCwCAAA4yJ0ri2xwAQAAgF1UFgEAABzkYaqw21ZXOJJFAAAAB7EMDQAAgGqJyiIAAICD3Ln65s5zAwAAgIOoLAIAADjInTe4UFkEAACAXVQWAQAAHOTOu6FJFgEAABzkzku17jw3AAAAOIjKIgAAgIPceRmayiIAAADsKjNZzMzMLFcbAABAdWUyGU45XEGZyeKIESPK1QYAAFBdeZicc7gCu9csFhYWqqCgQEVFRcrNzZVhXM1uMzIylJOTU2EBAgAAoPLYTRZXrFihpUuXymQyKSIiwtru7++vUaNGVUhwAAAAVYE7bwKxmyyOHz9e48eP16xZszRt2rSKjAkAAAAuosxb5/ycKObn58tisVjbfX19nRcVAABAFeLOz4YuM1n88MMPNXv2bCUnJ8tkMskwDJlMJh06dKgi4gMAAHB5rrIZxRnKTBbnzZunF154QREREfLwcOcVeQAAAPxWmcliUFCQ2rRpUxGxAAAAVEnuXE4rc269evXS2rVrlZaWppycHOsBAAAA91dmZXHRokWSpFmzZnHNIgAAQAmq9TWLhw8frog4AAAA4ILKTBbtLTlz6xwAAICrqvWtcyIjI4stP/+MZWgAAICrWIb+//Ly8rRt2zZdvnzZqUEBAADANVzTTm8fHx8NGTJEO3bscFY8AAAAVY6Hkw5XcE3XLBYVFenAgQPKyMhwalAAAABwDdd0zaLZbFaTJk30zDPPVERsAAAAVUK13uDCrXMAAABKV603uEjS8ePHlZCQIEnq2LGjwsLCnBoUAAAAXEOZ105u2bJFo0aN0qFDh3To0CGNGjVK7777bkXEBgAAUCV4mJxzuIIyK4tvvPGGNm3apODgYElSSkqK/vKXvyg6OtrpwQEAAKBylWsZ+udE8bc/AwAAwHVuc+MMZSaLjRs31uLFizVs2DBJ0jvvvKPrr7/e6YEBAABUFe68G7rMRHjmzJk6efKkoqOjFR0drR9++EGzZs2qiNgAAABQycqsLNatW1eLFi2qiFgAAACqJFfZjOIM5bpm8YsvvtCZM2dUWFhobRs+fLjTggIAAIBrKDNZnDx5so4cOaKbb75ZZrO5ImICAACoUqr1BpcDBw7ovffeI1EEAACohsq1GzonJ0f+/v4VEQ8AAECVU62vWZwyZYpGjBih22+/Xd7e3tb2p556yqmBAQAAVBUmN751TpnJ4pw5c1SvXj0FBASwFA0AAFDNlJksXrhwQf/5z38qIhYAAIAqqVovQ7do0ULJyckKCQmpiHiqjCtXsjRn2r+V8MUR1arlp0cfj9K9/dra9DMMQ0sXbdPWTV9IkgYMvkPjJ/aXyWTS6VPJWvLPrdr/3UkVWQyF39pYk+IGq8kN9WzGefSvS7Uv4Zj2frNQnp5UeKuqAC9PPd2mudqH1NKV/AKt+P60PjybYtNvWFgD3RfWQLW8PZVTaNHOcz9p2cGTsrjvKgcAwEWVmSxmZGSof//+ioyMlI+Pj7X9xRdfdGpgrm7+PzbIy8tTOz6do6OHz2riY6+oeYuGCmsWWqzf5nf2atcnB/TWhikymaTYMcvVoFEd3fenO5WZkaMud9+qqXNi5Fezhl5bsUOTJrymd7Y9U2yMHfH7VFhQVJHTg5M8eVuYCouK1H97gprX8tf8O1rq+JUsnczILtbv8wupeu/MRWUWWBTg5al/dLhZQ8IaaP3x85UUOQCgNO5865wy5xYVFaW4uDj17t1b3bp1sx7VWU52nj7+8DuNHd9XNWv6KKJNmLp2u1X/2faVTd/33v1Swx+6W/Xq11JIvVqKGXm33tv6pSTpllZNNGDwHQoK8pOnl1kPPNRNp08lKy0ty/r5zIwcvbpih2L/Fl1h84Nz1DB7qFvDunr10GnlWIq0/1K6Pk9KVe/GwTZ9z2XlKrPAIkkymaQiQ2rk51vRIQMAysnDZDjlcAVlVhYHDRpUEXFUKWdOp8js6aEmTX9Zmm/eoqG+3nfcpu8PJy6oeYsGxfr9cPxCieN+s++E6l4XqFq1/Kxty1+M131/6qy61wX8gTNAZbje31eWIkM/ZuZa245fyVLEdUEl9u/VKFiTI8Lk5+Wpy3kFWnrgZEWFCgCAVZnJYmFhoTZu3KhDhw4pLy/P2v788887NTBXlp2dJz+/GsXa/P1rKDsrz6ZvTnae/P19i/fLzpNhGDKZfrka9uKFNM1/boOemDzQ2pb4/Rl99+1J/S1usJIvpjlhJqhINT3Nyiq0FGvLLCxUTTvXoH54NkUfnk1RI78a6tM4RKl5+RURJgDgd3CFDS4nT55UXFyc0tLSVKtWLc2dO1dNmzYt1mfZsmXavn27PDw85OXlpYkTJ6pLly6ljlvmMvS0adP09ddf69NPP1XTpk118OBB1ahRo6yPubWaNX2UlZVbrC0rK1c1/Xxs+vr+pm9WZp5q1vQpliheTs3UhLHLdd+wO9W77+2SpKKiIs2b846enDKYDS1uIrvQIr/f/C39PD2V/ZsE8rfOZuXqh/RsTYoIc2Z4AIAqbvr06YqJidH777+vmJgYTZs2zaZP69attWHDBm3btk3PPfecJk6cqNzc3BJG+0WZyeKBAwc0d+5cBQQEaOzYsVq7dq2OH7ddbq1OGjcJlqWwSGdOJ1vbjh45rxvD6tv0vTGsvo4dOWd9fezoOd3Y7Jd+6VeyFTt2ubp0u1V/HnOPtT0rM1eHvv9Rf5+8Uvd2e1YPP/BPSVJUz+n65n8nnDEtONmPmTkye5jU6FdV6WZBfjqZkVXKp64ye5jUgGsWAcBleZicc6Snp+vs2bM2R3p6erHvv3TpkhITExUVFSXp6p6TxMREpaamFuvXpUsX+fpe/f+TFi1ayDAMpaWVvnpZ5jL0zzugzWazcnJyFBAQoEuXLpX/t+eGfGv66O6erfXKsv/omRn36+iRc/rskwN67V9P2PTtG91Oa1d/qk5dWspkMumtVZ/oTzFXy72ZmbmaMO4l3RZxo8ZPLL6BxT/AV+99PMv6OvnCZT38wEKtXj9Jtevw6MWqKNdSpF3nL+mv4U30f98cU/MgP3UJraNxu/bb9O3fpJ52J6UqLb9ATQN89dBNjZSQzKUIAOCqnLUGuGrVKi1dutSmffz48YqNjbW+TkpKUr169awPUDGbzQoJCVFSUpLq1KlT4thbtmxR48aNVb++bbHr18pMFoOCgnTlyhV16dJFo0ePVu3atVWvnu19AKubp54dqtlT/63e3Z5VUFBNTXl2qMKaheqb/53QE4+s0K4v50uSBg/trHNnLylm8FxJUvR9HTV4aGdJ0qc79yvx4Bn9cOKC4rcmWMdev/Vp1Q+to+uuC7S25ecVSJLq1A1gWboKW/DtCf29TXPF9+2gK/kFWvDtCZ3MyNZtdQO1oNMt6rXt6v04W9UN1JiWTeTraVZaXoE+Of+TXk08XcnRAwAq2siRI0vcbBwYGFhC7/L78ssv9eKLL+qNN94os6/JMIxS92VbLBaZzWYVFRVp27ZtysjI0MCBA+Xvf+3VrSv5O675M3BvQd73qvPmzys7DLiYPYPuVEpKRmWHARcTHBzAeQEbwcGucbeQ57790Cnj/j2iV7n6Xbp0Sb1791ZCQoLMZrMsFos6dOigDz74wKay+M033+iJJ57Q8uXLdcstt5Q5dpmVxZ/LmR4eHhowYEC5AgYAAEDFqVu3rsLDwxUfH68BAwYoPj5e4eHhNoni/v37NXHiRC1evLhciaLk3jccBwAAqBDO2uByLWbMmKE1a9aod+/eWrNmjWbOnClJGj16tA4cOCBJmjlzpnJzczVt2jQNGDBAAwYM0JEjR0odt8zKIgAAAFxfWFiY3nnnHZv2V1991frzxo0br3ncMiuLmZmZ5WoDAACorlyhsugsZSaLI0aMKFcbAABAdWU2OedwBXaXoQsLC1VQUKCioiLl5ubq503TGRkZysnJqbAAAQAAUHnsJosrVqzQ0qVLZTKZFBERYW339/fXqFGjKiQ4AACAqsBVloydwW6yOH78eI0fP16zZs0q8dmCAAAAcH9l7oYmUQQAACidh6nUZ5xUaXaTxZEjR2rVqlXq2LGjTKZfaquGYchkMumLL76okAABAABcXbVchp4//+qzjX/P/XgAAADgHuwmiyEhIZKkhg0bVlgwAAAAVZG5sgNwIrvJ4m+Xn3+LZWgAAAD3ZzdZ/Hn5ecOGDUpLS9OwYcNkGIY2bNigoKCgCgsQAADA1VXLaxZ/Xn7etWuXNm3aZG2fOnWq7rvvPk2YMMH50QEAAFQB7rwbulzPhk5NTbW+Tk1N5dnQAAAA1USZ91kcOXKkBgwYoLvvvlvS1Urj2LFjnR4YAABAVeEqz3F2hjKTxeHDh+v222/XV199ZX3dokULpwcGAACAyldmsihJjRo1ksVi0S233OLseAAAAKocd97gUuY1i7t27VK/fv0UGxsrSTpw4IDGjRvn9MAAAABQ+cpMFhcvXqwNGzYoMDBQktSqVSudOXPG6YEBAABUFR4m5xyuoFzL0MHBwcVee3t7OyUYAACAqshVEjtnKLOy6Ofnp59++sn6NJeEhAQFBAQ4PTAAAABUvjIri5MmTdLo0aN19uxZjRgxQqdOndJLL71UEbEBAABUCWY3vil3qcliUVGRvL29tXr1an399deSpMjISOv1iwAAAHBvpSaLHh4emjx5srZt26a77rqromICAACoUsq8rq8KK3NuTZo00dmzZysiFgAAgCqpWu+GzsrKUnR0tG6//XbVrFnT2v7iiy86NTAAAABUvjKTxejoaEVHR1dELAAAAFWSq1QBncFusmixWJSfn69BgwYVa8/JyeE+iwAAANWE3WsWFyxYoPj4eJv2+Ph4/fOf/3RqUAAAAFWJ2WQ45XAFdpPFhIQE3XfffTbtgwcP1meffebUoAAAAKoSd97gYjdZtFgs8vCwfdtsNluf5gIAAAD3ZveaxdzcXOXk5MjX17dYe1ZWlvLz850eGAAAQFXhKlVAZ7BbWezbt6+mTJmizMxMa1tGRoaeffZZ3XvvvRUSHAAAACqX3criY489pri4OHXp0kVNmzaVJJ06dUrdu3dXbGxsRcUHAADg8ty5smg3WfT09NSCBQt0+vRpJSYmSpJatmypJk2aVFhwAAAAVYG5OiaLP2vSpAkJIgAAQDVVZrIIAACA0nm4yD0RncHuBhcAAACAyiIAAICD3Ln65s5zAwAAgIOoLAIAADioWt46BwAAAOXjzrfOYRkaAAAAdlFZBAAAcBC3zgEAAEC1RGURAADAQWxwAQAAgF3unCyaDMNw30V2AACACvBF8ntOGfeOkH5OGfdaVHBl8WjFfh2qgJs0KeHjyg4CLmZBh+7ybfxAZYcBF5Nz5t9KScmo7DDgYoKDAyo7BEnuvQnEnecGAAAAB3HNIgAAgINMbnzNIskiAACAg9w4V2QZGgAAAPZRWQQAAHCQOy9DU1kEAACAXVQWAQAAHOTO1Td3nhsAAAAcRLIIAADgIJPJcMpxLU6ePKlhw4apd+/eGjZsmE6dOmXT5/PPP9fgwYN16623au7cueUal2QRAADAQSYnHddi+vTpiomJ0fvvv6+YmBhNmzbNps/111+vf/zjH/rLX/5S7nFJFgEAAFxUenq6zp49a3Okp6cX63fp0iUlJiYqKipKkhQVFaXExESlpqYW69ekSROFh4fL07P821bY4AIAAOAgZ906Z9WqVVq6dKlN+/jx4xUbG2t9nZSUpHr16slsNkuSzGazQkJClJSUpDp16jgUA8kiAACAixo5cqQGDRpk0x4YGFhhMZAsAgAAOMhZ9+QODAwsV2IYGhqqixcvymKxyGw2y2KxKDk5WaGhoQ7HwDWLAAAADvIwOecor7p16yo8PFzx8fGSpPj4eIWHhzu8BC2RLAIAALiFGTNmaM2aNerdu7fWrFmjmTNnSpJGjx6tAwcOSJL27dunrl276s0339S6devUtWtX7d69u9RxWYYGAABwkCs8GjosLEzvvPOOTfurr75q/blt27b67LPPrmlcKosAAACwi8oiAACAg5x16xxXQLIIAADgIDfOFVmGBgAAgH1UFgEAABxEZREAAADVEpVFAAAAB13LDbSrGiqLAAAAsIvKIgAAgIPcuLBIsggAAOAok8mo7BCchmVoAAAA2EVlEQAAwEHuvAxNZREAAAB2UVkEAABwEM+GBgAAgF3uvFTrznMDAACAg66pspifny+LxWJ97evr+4cHBAAAUNVU+2XoDz/8ULNnz1ZKSookyTAMmUwmHTp0yKnBAQAAoHKVK1mcN2+eXnjhBUVERMjDg5VrAACAX3PjwmL5ksWgoCC1adPG2bEAAABUSe68DF2uMmGvXr20du1apaWlKScnx3oAAADAvZWrsrho0SJJ0qxZs6xtXLMIAABwlRsXFsuXLB4+fNjZcQAAAMAFlfvWOZcvX9Z3330nSYqIiFCtWrWcFhQAAEBV4uHGpcVyXbO4e/du9enTR6tWrdKqVavUt29f7dmzx9mxAQAAoJKV+5rFt956S2FhYZKkEydOaPLkyercubNTgwMAAKgK3LiwWL5ksbCw0JooSlJYWJgKCwudFhQAAEBVYjIZlR2C05RrGbpOnTratGmT9fXmzZtVp04dpwUFAAAA11CuZHHWrFlat26dWrVqpdatW2vdunXFbqMDAABQnZmcdLiCci1DN27cWG+//baysrIkSX5+fk4NCgAAAK6h1GTxxx9/1PXXX6/jx4+X+H6zZs2cEhQAAEBV4s6P+ys1WZwzZ45efvlljRkzxuY9k8mknTt3Oi2wqmLlyi169dWNysnJU+/enTVz5qPy9vYqse8XX3ynmTNfUlJSilq3bqH/+78n1LBhSLE+aWkZuvfecbrhhob697/nWdu3b9+tJUvW6sKFSwoNvU5/+9sI9ex5h1PnBsflZ2bpu9f/pZQDh+Qd4K+bhw5Qo07tbfodf+8Dnf38v8q+lCpvf3817dFVzfrdI0nKS0/XwTXv6NLhY7Lk5SmgUQPdEjNEtcNuqOjp4A9SO8hPK+aPVY+urXQpNUPT5q7T+q17S+wbcWtTzZ/+kCJuvUFZ2Xmav2yLlr2xQ8F1A7Vgxkh16Riumr4+Sjz6o6bM+pe++vZEBc8GgOQ6S8bOUGqy+PLLL0uSPv744woJpqrZvftrvfLKRq1aNUchIXU1fvw/tHjxW5o06WGbvqmpVzR+/HOaMydW3bu31wsvrNHEifP09tsLivVbsGClwsKuV1FRkbXt4sVLeuqphVq27Bl17Xq7du3ap8cf/z99/PHrqluXm6O7sgOr18nD7Kl7ls7VldNn9eXCZQpq3EgBjRrY9I0Y+7ACr2+o7OQU/XfeEvnWra2GHdupMDdPtW5ooltihsgnMEBndu1Rwj+XqefCOfKsUaMSZgVHvTDnz8ovKFSTNuN02y1NtenNp7T/0BkdOnq2WL+6tQO0dXWcpsz6lzZtT5C3l6cahl7dXOjnV0P/++6Epsz+l5J/uqKH779bm1ZO0c2dYpWVnVcZ0wLgpsq1weXxxx8vV1t1s2XLTg0Z0kvNmzdRUJC/Hn30fm3eXHK19cMPv1Dz5o3Vp8+d8vHxVmxsjA4fPqkTJ3609vn660M6duy0Bg/uWeyzFy78pIAAP911V1uZTCZ169ZOvr41dObMBafOD44pzMtT0lffqMV9/eVZo4bqtmimepGtdXZPgk3fZv3uUa2mjeVhNss/tL7qt2mt1KM/SJL8QoIV1qenatQKksnDQ03u7iKj0KLMpIsVPSX8AWr6+mhgn/aaueBtZWXnae9XR/TeR/9TzOA7bfpOGN1XH322X+u27FF+fqEys3J15Ph5SdKpM8la/Np2XUhOU1GRoTfWfixvL7NuCrP9hwgA5/Nw0uEKyhXHmTNnbNp++OGHPzyYqubYsTO6+eZflgJbtGiqn35K0+XL6SX2bdHil741a9ZQ48b1dfz41d+txWLR7NkrNHXqOJvrHm69tZnCwhpp584EWSwWffTRF/L29lKLFk2dMi/8MbKSkmUye8g/tJ61LahxI2WcSyr1c4Zh6NKR4wpoFFri+1dO/6giS6H86oWU+D5cW/MbQ1Vosej4yV/+sXcg8bTCb2pk07d9ZHNdTsvUJ5tm6vTXK7ThjUm6vkHdEsdt3bKJvL08deIU/4gE8McqdRn67bff1vr163Xq1CkNGTLE2p6RkaEbbuB6qezsXPn717S+Dgi4uks8KytHtWsH2vStU6d4m7+/n7KyciRJ//rXNrVu3UK33tpMR4+eKtbPbDZrwIDumjRpgfLy8uXl5akXX4xTzZosQbqywrxcefn6Fmvz9PVVYW5uqZ87ujleMgxd38X2mtSCnBx98/JK3TSwn7xq+pbwabg6fz8fpWfkFGu7kpGjAD/bv2fD0DqKuLWpooY/p4NHftRzf4/RqqWx6j54RrF+Af6+ev2FR/WPFzfZjA2gYlTbDS6dO3dWkyZNNHv2bD311FPWdn9/f7Vo0cLpwbmad9/9VNOnL5Mk3X57S9WsWUOZmdnW93/+2a+E/+j/tq8kZWVly8/PVxcvXtLq1du0adMLJX7v3r3fasGClVq9+jndckuYDh48rkcfnaNXX52h8PAb/6jp4Q/m6VNDBTnF/4+7MDe31OsMT374qX78PEGdn31SZq/iG6Us+fn6cuFLqh12g5r3v9cpMcP5MrPyFBhQ/L8Rgf6+ysiyTfJycvP17vtf6X/7r67k/GPRRp3b/6oCA3ytSWENHy9tfGOyvvzmuBYs2+r8CQCww32zxVKTxYYNG6phw4aKj4+vqHhcWnR0N0VHd7O+fvLJ+Tpy5KT69u0iSTp8+KSuu66WTVVRkpo3b6zNm3/ZKJSdnaszZ5LUrFljHThwVCkpl9Wv36OSpNzcfOXl5atz5xH67LOVOnToB7Vte4tatWouSWrd+ia1bn2T9u79lmTRhfmFhsiwFCnzQrL8619dMk4/c1YBDUteXj6za6+Ox7+vTs/8Tb51ahd7z1JQoK9eWCHfOrXUelSM02OH8xz7IUmeZrPCmta3Lhm3atnYZnOLJB08fEbGr54gZhjFHyfm7e2pt197UueSLml83GtOjRtA9VWuaxYzMjK0cOFCjR49Wg899JD1qO4GDOiuDRs+1PHjZ5SenqmXXnpbgwb1KLFvr1536Nix03r//T3Ky8vXsmXr1KLFDQoLu15du7bVxx+/ri1bFmvLlsWaMGG4wsNv1JYti2U2m9WqVXPt2/e9Dh26Wl1ITDyh//0vkWsWXZynj49C20boyKZtKszLU+rRE7rw9Xdq1LmDTd+ze7/U4Q1b1fGpCfILCS72XlGhRf9b8qo8vL0VMWakTB6ucskzfo/snDxt3fGlpj05VDV9fXRH25sU1aut1m763Kbv6rd3Kfretmrdsok8Pc16+vHB2vPlYaVn5MjT06y1K55Qbm6+/vq3l2wSSQAVy+Sk/7mCcj3B5e9//7vCwsJ06tQpPf7449q4caNuueUWZ8fm8rp2vV1//et9euihZ5Sbm6fevTtpwoTh1vf79XtUY8f+SdHR3VSnTpCWLHlas2at0OTJC3XbbTdp4cLJkiRvby8FB/9SSQoIqClPT7O1rX37VoqNjdGECf+nn35KU506gRo7dqjuvLNNxU4Y16zVyAf07Wv/0gePPSUvfz+1GvmAAho10KUjx5SwYJn6vnr10oPDG95Vfmamds+Ya/1so07t1XpUjFKPn9DFbw/Iw9tLO8Y9aX2/w6THVLdF8wqfExz3+DNv6OUFY3XmmxVKvZypx595XYeOnlXn9i20ZVWcgsNHSZJ27f1e0+eu1+aVT8nX11t7vzqih2OXSJI6/r/27j2mqfP/A/i7FpEvFkWYMjdF0AliHOo0KDqnVKDoj2vUMefmMh1uy5ybmw41DsQYZUo0UzC6TeMNdSoaLu6iQqKJmfzmRGXRoTItY2OAIjcVWtvn+wfxfK3QUi2lUN6vhKTn9pzP4YTDp5/nPOeM8cH/BY/B/QeN+Pf3HVLb0e8k4+z/F9nkuIjIPsmEGV9HIyMjkZWVhYiICGRnZ0Oj0WDu3Lk4ePDgU+7u2jOGSfbLB0vy+RxPMpQyTon/eM62dRjUwTwoOYDKyjpbaR8vCAAADpVJREFUh0EdTN++LrYOAQBQrfnBKu26Ok63SrtPw6z+LEdHRwBA9+7dUV1dje7du6OqqsqqgRERERGR7ZnVDe3l5YXq6mpEREQgNjYWLi4u7IYmIiIiknSM+wutwaxkMSWl6ZV07777Ll5++WXU1dVh0qRJVg2MiIiIqLPoKINRrKHVbmidToeYmBhpeuzYsQgKCoKDg1l5JhERERF1Yq0mi3K5HM7Ozmhs5IvpiYiIiFoms9KP7ZlVHvT29sacOXOgUqng7Py/19vNmTPHxFZERERE1NmZlSzqdDoMHToUf/75p7XjISIiIup0ZDL7fWGCWcniunXrrB0HERERUSfWMbqMrcGsZDE9Pb3F+eyGJiIiIrJvZiWLv//+u/S5sbER+fn5GDlyJJNFIiIiItj3o3OeqRu6oqICq1evtkpARERERNRxPNPDEvv164dbt261cShEREREnVOXryw+fs+iEAKFhYVwc3OzWlBEREREnUsXHw39+D2LDg4OGDJkCJYvX261oIiIiIioY2g1Wbx8+TLu37+PGzduAAB8fHwwfvx4uLq6Wj04IiIios5AJrPfbmiTNdOCggLMnz8fgwYNwuLFi/Hpp59i4MCBeO+993Dp0qX2ipGIiIiIWnHz5k3ExsZCpVIhNja2xfElOp0OSUlJCA4ORkhICA4fPtxquyYri9999x3Wrl2LkJAQaV5ISAj8/f2xfft2bN269emPhIiIiMju2L6ymJiYiDfffBNRUVHIzMxEQkIC9uzZY7BOdnY2SkpKcOLECVRXVyM6OhqBgYEYMGCA0XZNVhZv3LhhkCg+EhwcjOLi4mc8FCIiIiIyR21tLUpLS5v91NbWGqx3584dXLlyBeHh4QCA8PBwXLlyBVVVVQbr/fDDD5g1axa6desGNzc3BAcH46effjIZg8nKopOT0zMtIyIiIupKrPXonN27dyM1NbXZ/IULF+Ljjz+WpsvKyuDh4QG5XA4AkMvl6NevH8rKygyeYFNWVoYXXnhBmu7fvz/+/fdfkzGYTBa1Wi2Ki4shhGhxGREREREB1np0zjvvvIOYmJhm83v16mWV/bXEZLLY0NCAuLi4FpfZ86gfIiIioo6gV69eZiWG/fv3R3l5OXQ6HeRyOXQ6HSoqKtC/f/9m6/3zzz/w9/cH0LzS2BKTyWJeXl6rwRERERF1dbZ+g4u7uzv8/PyQk5ODqKgo5OTkwM/Pr9lLVMLCwnD48GGEhoaiuroap06dMnj5Skvs93HjRERERF3IqlWrsG/fPqhUKuzbtw9JSUkAgLi4OBQWFgIAoqKiMGDAAISGhuL111/HRx99hIEDB5psVyZauiHRaq61366ok/DBknxWsMlQyjgl/uM529ZhUAfzoOQAKivrbB0GdTB9+7rYOgQAQIPuF6u06yQPtEq7T8Os1/0RERERkSn2O5aD3dBEREREZBQri0REREQWktlx/c1+j4yIiIiILMbKIhEREZHF7PeeRSaLRERERBay55eVsBuaiIiIiIxiZZGIiIjIYqwsEhEREVEXxMoiERERkYX46BwiIiIi6pJYWSQiIiKymP3es8hkkYiIiMhCMjtOFtkNTURERERGsbJIREREZCE+lJuIiIiIuiRWFomIiIgsZr/1NyaLRERERBbiABciIiIi6pJYWSQiIiKyGCuLRERERNQFsbJIREREZCF7fnQOk0UiIiIii9lvZ639HhkRERERWYyVRSIiIiIL2fOjc2RCCGHrIIiIiIioY2I3NBEREREZxWSRiIiIiIxiskhERERERjFZJCIiIiKjmCwSERERkVFMFomIiIjIKCaLRERERGQUk0UiIiIiMorJIhEREREZxWSRiIiIiIxismgFNTU18Pf3x5o1a2wdCnVASqUS165dM7mOr68v7t27104REQBotVp8/fXXUKlUiIiIQHR0NJKTk6HVai1qt7S0FOPGjQMAlJeX4+2335aWbdmyBRqNxqL2baGzxm0LSqUSYWFhiIyMREhICD788ENcuHChTfdRWlqK77//3mBeXFwcSkpK2nQ/1HUxWbSCnJwcjBw5EsePH+cFlaiTWL58OW7cuIGMjAxkZ2fjyJEj8Pb2bvFvWKfTPdM+PDw8sHfvXmk6NTXV4mTUFjpr3LayefNmZGVl4eTJk4iJicGCBQtw6dIls7d/+PChyeV///13s2Tx22+/haen5zPFS/QkB1sHYI8yMjKwdOlSbN++Hbm5uZg2bRrq6uqwYsUKXL9+HR4eHvDw8IC7uzvi4+Oh0WiwadMm/Prrr9BoNPD19cWqVavQs2dPWx8KWZFarUZCQgKqqqrg4OCAxYsX47XXXpOW79ixA7m5uWhoaMBnn30GlUplw2jt261bt3Dq1CmcPn0aCoUCAODg4IDY2FgAwNGjR5GVlYWePXtCrVZjw4YN0Gg0SElJkSrAixYtwpQpUwAA6enp2LVrFxQKBSZPniztp7S0FDNmzEB+fj6SkpIAAG+88Qa6deuGvXv3olevXtK6Dx8+xPvvv4+7d++isbER/v7+SEpKgqOjI44ePYqcnBy4uLigqKgIHh4e+PLLL/HVV1+hpKQEI0aMQEpKCmQyGW7fvo3ExESpyjR//nxER0cDaKpgX7hwQbrWPD7t6+uLxYsX4+TJk6iursYXX3wBlUrVatxkWmhoKC5fvowdO3bA2dkZI0aMwFtvvQUAWLZsmTS9bNkyyOVy3Lx5E/fu3UNmZiY+//xz3Lx5E1qtFp6enli7di169+6N1atXo7S0FFFRURg0a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size 864x576 with 2 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["corr = df[['Age', 'Job', 'Housing', 'Saving accounts', 'Checking account', 'Credit amount', 'Duration']].corr()\n","sns.set(rc={'figure.figsize':(12, 8)})\n","sns.heatmap(corr,linewidths=.5, annot=True, cmap=\"YlGnBu\",mask=np.triu(np.ones_like(corr, dtype=np.bool_)))\\\n","    .set_title(\"Pearson Correlations Heatmap\");"]},{"cell_type":"markdown","metadata":{"id":"qdvG28kvK4tR"},"source":["The Credit amount feature is 'POSITIVELY' correlated to the Duration feature."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":300},"executionInfo":{"elapsed":210,"status":"ok","timestamp":1649219919902,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"4K-Rr2t6_Gtu","outputId":"31224a71-966e-439c-ae8d-1898b68d664a"},"outputs":[{"data":{"text/html":["\n","  <div 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We have also dealt with the null values. Now we will do one-hot encoding for categorical variables."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"elapsed":231,"status":"ok","timestamp":1649219926037,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"jctoEQERQVjy","outputId":"42d97589-88f9-4d32-aee4-6071196f681d"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-39012241-4354-4f31-9021-67fbc93c2e63\">\n","    <div 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","    .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>Age</th>\n","      <th>Sex</th>\n","      <th>Job</th>\n","      <th>Housing</th>\n","      <th>Saving accounts</th>\n","      <th>Checking account</th>\n","      <th>Credit amount</th>\n","      <th>Duration</th>\n","      <th>Purpose</th>\n","      <th>Risk</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>4.204693</td>\n","      <td>male</td>\n","      <td>2</td>\n","      <td>own</td>\n","      <td>little</td>\n","      <td>little</td>\n","      <td>7.063904</td>\n","      <td>1.791759</td>\n","      <td>radio/TV</td>\n","      <td>good</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>3.091042</td>\n","      <td>female</td>\n","      <td>2</td>\n","      <td>own</td>\n","      <td>little</td>\n","      <td>moderate</td>\n","      <td>8.691315</td>\n","      <td>3.871201</td>\n","      <td>radio/TV</td>\n","      <td>bad</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3.891820</td>\n","      <td>male</td>\n","      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2    free          little           little   \n","\n","   Credit amount  Duration              Purpose  Risk  \n","0       7.063904  1.791759             radio/TV  good  \n","1       8.691315  3.871201             radio/TV   bad  \n","2       7.647786  2.484907            education  good  \n","3       8.972337  3.737670  furniture/equipment  good  \n","4       8.490849  3.178054                  car   bad  "]},"execution_count":41,"metadata":{},"output_type":"execute_result"}],"source":["df.head(5)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"z6DqT9vc_Nce"},"outputs":[],"source":["df['Risk'] = df['Risk'].map({'bad':1, 'good':0})"]},{"cell_type":"markdown","metadata":{"id":"wpVeI5lDTVBm"},"source":["## One-hot encoding:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"eGE2CbU1Riep"},"outputs":[],"source":["df_credit = pd.get_dummies(data=df, columns=['Sex', 'Housing', 'Saving accounts', 'Checking account', 'Purpose'])"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":317},"executionInfo":{"elapsed":25,"status":"ok","timestamp":1649219929136,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"QO5rz22SRzgg","outputId":"f157eae9-8cd8-4ab9-882f-f86ffaf5d339"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-cd9b1a6a-272d-45e8-9582-2bec33eb481a\">\n","    <div 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","    .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>Age</th>\n","      <th>Job</th>\n","      <th>Credit amount</th>\n","      <th>Duration</th>\n","      <th>Risk</th>\n","      <th>Sex_female</th>\n","      <th>Sex_male</th>\n","      <th>Housing_free</th>\n","      <th>Housing_own</th>\n","      <th>Housing_rent</th>\n","      <th>...</th>\n","      <th>Checking account_moderate</th>\n","      <th>Checking account_rich</th>\n","      <th>Purpose_business</th>\n","      <th>Purpose_car</th>\n","      <th>Purpose_domestic appliances</th>\n","      <th>Purpose_education</th>\n","      <th>Purpose_furniture/equipment</th>\n","      <th>Purpose_radio/TV</th>\n","      <th>Purpose_repairs</th>\n","      <th>Purpose_vacation/others</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>4.204693</td>\n","      <td>2</td>\n","      <td>7.063904</td>\n","      <td>1.791759</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      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  <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3.806662</td>\n","      <td>2</td>\n","      <td>8.972337</td>\n","      <td>3.737670</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>3.970292</td>\n","      <td>2</td>\n","      <td>8.490849</td>\n","      <td>3.178054</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>...</td>\n","  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Visit the ' +\n","            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n","            + ' to learn more about interactive tables.';\n","          element.innerHTML = '';\n","          dataTable['output_type'] = 'display_data';\n","          await google.colab.output.renderOutput(dataTable, element);\n","          const docLink = document.createElement('div');\n","          docLink.innerHTML = docLinkHtml;\n","          element.appendChild(docLink);\n","        }\n","      </script>\n","    </div>\n","  </div>\n","  "],"text/plain":["        Age  Job  Credit amount  Duration  Risk  Sex_female  Sex_male  \\\n","0  4.204693    2       7.063904  1.791759     0           0         1   \n","1  3.091042    2       8.691315  3.871201     1           1         0   \n","2  3.891820    1       7.647786  2.484907     0           0         1   \n","3  3.806662    2       8.972337  3.737670     0           0         1   \n","4  3.970292    2       8.490849  3.178054     1           0         1   \n","\n","   Housing_free  Housing_own  Housing_rent  ...  Checking account_moderate  \\\n","0             0            1             0  ...                          0   \n","1             0            1             0  ...                          1   \n","2             0            1             0  ...                          0   \n","3             1            0             0  ...                          0   \n","4             1            0             0  ...                          0   \n","\n","   Checking account_rich  Purpose_business  Purpose_car  \\\n","0                      0                 0            0   \n","1                      0                 0            0   \n","2                      0                 0            0   \n","3                      0                 0            0   \n","4                      0                 0            1   \n","\n","   Purpose_domestic appliances  Purpose_education  \\\n","0                            0                  0   \n","1                            0                  0   \n","2                            0                  1   \n","3                            0                  0   \n","4                            0                  0   \n","\n","   Purpose_furniture/equipment  Purpose_radio/TV  Purpose_repairs  \\\n","0                            0                 1                0   \n","1                            0                 1                0   \n","2                            0                 0                0   \n","3                            1                 0                0   \n","4                            0                 0                0   \n","\n","   Purpose_vacation/others  \n","0                        0  \n","1                        0  \n","2                        0  \n","3                        0  \n","4                        0  \n","\n","[5 rows x 25 columns]"]},"execution_count":44,"metadata":{},"output_type":"execute_result"}],"source":["df_credit.head(5)"]},{"cell_type":"markdown","metadata":{"id":"oildJcBENJMX"},"source":["## Standard Scaling"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"6ihbsY7AMpBO"},"outputs":[],"source":["num_df = df_credit[['Age', 'Duration', 'Credit amount']]"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"eYMA8PtvNEH_"},"outputs":[],"source":["from sklearn.preprocessing import StandardScaler\n","\n","scaler = StandardScaler()\n","num_df_scaled = scaler.fit_transform(num_df)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":20,"status":"ok","timestamp":1648962217300,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"KUgo_4wwOke7","outputId":"16478a39-ca43-40d2-8a51-ba8622e2554b"},"outputs":[{"data":{"text/plain":["array([[ 2.27100592, -1.86486906, -0.933901  ],\n","       [-1.44615223,  1.7083687 ,  1.16304581],\n","       [ 1.22669602, -0.67378981, -0.1815588 ],\n","       ...,\n","       [ 0.37810951, -0.67378981, -1.4161991 ],\n","       [-1.29778048,  1.59746802, -0.34591111],\n","       [-0.76258638,  1.59746802,  0.82450846]])"]},"execution_count":44,"metadata":{},"output_type":"execute_result"}],"source":["num_df_scaled"]},{"cell_type":"markdown","metadata":{"id":"5GyeAE6UPBkE"},"source":["## Applying elbow method to find best number of clusters. Plotting the graph. And choosing only the numerical features for clustering."]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":355},"executionInfo":{"elapsed":8207,"status":"ok","timestamp":1648962225494,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"phBFxQ4-Oml1","outputId":"4e95e941-a395-481c-98dc-1bc214fa9881"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 720x360 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["from sklearn.cluster import KMeans\n","\n","inertias = []\n","\n","for i in range(2, 16):\n","    kmeans = KMeans(n_clusters=i, random_state=0).fit(num_df_scaled)\n","    inertias.append(kmeans.inertia_)\n","\n","plt.figure(figsize=(10, 5))\n","plt.title('The Elbow Method')\n","plt.xlabel('Number of clusters')\n","plt.ylabel('WCSS')\n","plt.plot(np.arange(2, 16),inertias, marker='o', lw=2, color='steelblue');"]},{"cell_type":"markdown","metadata":{"id":"ajhjvTKaanqF"},"source":["## Chose optimum number of clusters=3 and visualizing it using PCA."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"p04pZ3dLeo3-"},"outputs":[],"source":["kmeans = KMeans(n_clusters=3, init='k-means++', max_iter=400, n_init=100, random_state=0)\n","y_means = kmeans.fit(num_df_scaled)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"3_9ENYFIkW4a"},"outputs":[],"source":["from sklearn.decomposition import PCA\n","\n","pca_2comp = PCA(n_components=2).fit(num_df_scaled)\n","pca2 = pca_2comp.transform(num_df_scaled)"]},{"cell_type":"markdown","metadata":{"id":"N_pEPoxFmVNO"},"source":["Variance explained by 2 components"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":20,"status":"ok","timestamp":1648962231897,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"XPehwt0dVrjn","outputId":"e7e04559-a239-4157-e9ec-6a37b4e76bda"},"outputs":[{"name":"stdout","output_type":"stream","text":["Explained variance =  [1.62431022 1.00471706]\n","Explained variance ratio =  [0.5408953  0.33457078]\n"]}],"source":["print(\"Explained variance = \", pca_2comp.explained_variance_)\n","print(\"Explained variance ratio = \", pca_2comp.explained_variance_ratio_)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":520},"executionInfo":{"elapsed":732,"status":"ok","timestamp":1648962232913,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"aH3nI63PVfU4","outputId":"e91be401-4dc0-4f29-c60b-bfed45e4bb4a"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 576x576 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.figure(figsize = (8, 8))\n","sns.scatterplot(x=pca2[:, 0], y=pca2[:, 1], \n","                hue=y_means.labels_, \n","                palette='Set1',\n","                s=100, alpha=0.2).set_title('KMeans Clusters Derived from Elbow Method', fontsize=15)\n","plt.legend()\n","plt.ylabel('PC2')\n","plt.xlabel('PC1')\n","plt.show();"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"39UG3wqJOqbu"},"outputs":[],"source":["km = KMeans(n_clusters=3, random_state=0)\n","clusters = km.fit_predict(num_df_scaled)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"eMI1UcgXOmro"},"outputs":[],"source":["df_clustered = df_copy[['Age', 'Duration', 'Credit amount']]\n","df_clustered['cluster'] = clusters"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":175},"executionInfo":{"elapsed":23,"status":"ok","timestamp":1648962233871,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"_rHlUtJ4Omue","outputId":"1aa0a294-c15b-4eac-8ece-ef9de64588ec"},"outputs":[{"data":{"text/html":["\n","  <div id=\"df-eaccece7-b784-4f03-9851-f2954d10561a\">\n","    <div 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","    .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>Age</th>\n","      <th>Duration</th>\n","      <th>Credit amount</th>\n","    </tr>\n","    <tr>\n","      <th>cluster</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>34.042667</td>\n","      <td>32.224000</td>\n","      <td>5665.384000</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>48.593870</td>\n","      <td>13.862069</td>\n","      <td>1970.498084</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>27.739011</td>\n","      <td>14.288462</td>\n","      <td>1737.469780</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-eaccece7-b784-4f03-9851-f2954d10561a')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" 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Cluster 1 are the older customers.\n","2. Cluster 0 are the middle-Aged customers.\n","3. Cluster 2 are the younger customers."]},{"cell_type":"markdown","metadata":{"id":"SsgzbBe0a6jD"},"source":["## Implementing KFOLD CV, using XGBClassifier and reporting the evaluation metrics."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"JMMnqSjySdlS"},"outputs":[],"source":["df_credit=df_credit.drop(['Age', 'Duration', 'Credit amount'], axis=1)\n","num_df_scaled = pd.DataFrame(num_df_scaled, columns=['Age', 'Duration', 'Credit amount'])\n","cat_df = df_credit\n","\n","X = pd.concat([num_df_scaled, cat_df], axis=1)\n","y = df_credit['Risk']"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":317},"executionInfo":{"elapsed":203,"status":"ok","timestamp":1648962234054,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"o_amZLBLXtlf","outputId":"6899d727-36af-4d79-c413-4cc13082ca3b"},"outputs":[{"data":{"text/html":["\n","  <div 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appliances</th>\n","      <th>Purpose_education</th>\n","      <th>Purpose_furniture/equipment</th>\n","      <th>Purpose_radio/TV</th>\n","      <th>Purpose_repairs</th>\n","      <th>Purpose_vacation/others</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2.271006</td>\n","      <td>-1.864869</td>\n","      <td>-0.933901</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>-1.446152</td>\n","      <td>1.708369</td>\n","      <td>1.163046</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","  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Checking account_moderate  \\\n","0             0            1             0  ...                          0   \n","1             0            1             0  ...                          1   \n","2             0            1             0  ...                          0   \n","3             1            0             0  ...                          0   \n","4             1            0             0  ...                          0   \n","\n","   Checking account_rich  Purpose_business  Purpose_car  \\\n","0                      0                 0            0   \n","1                      0                 0            0   \n","2                      0                 0            0   \n","3                      0                 0            0   \n","4                      0                 0            1   \n","\n","   Purpose_domestic appliances  Purpose_education  \\\n","0                            0                  0   \n","1                            0                  0   \n","2                            0                  1   \n","3                            0                  0   \n","4                            0                  0   \n","\n","   Purpose_furniture/equipment  Purpose_radio/TV  Purpose_repairs  \\\n","0                            0                 1                0   \n","1                            0                 1                0   \n","2                            0                 0                0   \n","3                            1                 0                0   \n","4                            0                 0                0   \n","\n","   Purpose_vacation/others  \n","0                        0  \n","1                        0  \n","2                        0  \n","3                        0  \n","4                        0  \n","\n","[5 rows x 25 columns]"]},"execution_count":54,"metadata":{},"output_type":"execute_result"}],"source":["X.head(5)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"3b_uHfq6RAQw"},"outputs":[],"source":["from xgboost import XGBClassifier\n","from sklearn.metrics import accuracy_score\n","from sklearn.model_selection import KFold\n","from sklearn.model_selection import cross_val_score"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"rQSyEDDmwBEN"},"outputs":[],"source":["model = XGBClassifier(eval_metric='mlogloss')\n","kfold = KFold(n_splits=5)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"TMd39jQTwNBu"},"outputs":[],"source":["res = cross_val_score(model, X, y, cv=kfold)\n","prec = cross_val_score(model, X, y, cv=kfold, scoring='precision_weighted')\n","re = cross_val_score(model, X, y, cv=kfold, scoring='recall_weighted')"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"OsbO-xHnwNt9"},"outputs":[],"source":["accuracy = round(res.mean()*100, 3)\n","precision = (round((prec.mean()*100), 3))\n","recall = (round((re.mean()*100), 3))\n","f1score = round(2 * ((recall * precision) / (recall + precision)), 3)"]},{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":27,"status":"ok","timestamp":1648962236020,"user":{"displayName":"Khawaja Talha","userId":"07965808630020159143"},"user_tz":240},"id":"yi73wR7vzGsm","outputId":"e3b9f9b1-1839-4b87-bd19-dc2c118cb6fb"},"outputs":[{"name":"stdout","output_type":"stream","text":["Accuracy =  100.0\n","Recall =  100.0\n","Precision =  100.0\n","F1score =  100.0\n"]}],"source":["print(\"Accuracy = \", accuracy)\n","print(\"Recall = \", recall)\n","print(\"Precision = \", precision)\n","print(\"F1score = \", f1score)"]},{"cell_type":"markdown","metadata":{"id":"9bRZHYa1TLGv"},"source":["# Conclusion:\n","\n","The model performed great. With Accuracy = \"100.0\", Recall = \"100.0\", Precision = \"100.0\" and F1score = \"100.0\".\n","## **But it is \"overfitting\".**"]}],"metadata":{"colab":{"authorship_tag":"ABX9TyNSZKrTQ0yQoY3FcMwQnx+b","collapsed_sections":[],"name":"Project3-200503803_Khawaja Talha_Haseeb.ipynb","provenance":[]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"}},"nbformat":4,"nbformat_minor":0}