Deleted old files

model_selection/fixing_fp_fn/fixing_metrics.py

-import pandas as pd
-
-def swap_fp_fn_rows(excel_path, output_path):
-    # Load the Excel file
-    excel_data = pd.ExcelFile(excel_path)
-
-    # Create a Pandas ExcelWriter using the xlsxwriter engine
-    with pd.ExcelWriter(output_path, engine='xlsxwriter') as writer:
-        # Iterate through each sheet in the Excel file
-        for sheet_name in excel_data.sheet_names:
-            # Read the current sheet into a DataFrame, setting the first column as the index
-            df = excel_data.parse(sheet_name, index_col=0)
-            
-            # Convert index to string if it's not already to handle string operations
-            df.index = df.index.map(str)
-
-            # Identify all rows containing 'FP' and 'FN' for swapping
-            fp_rows = df.filter(like='_FP', axis=0)
-            fn_rows = df.filter(like='_FN', axis=0)
-
-            # Swap values between FP and FN rows for each corresponding pair
-            for fp_index, fn_index in zip(fp_rows.index, fn_rows.index):
-                # Temporary store FN row
-                temp = df.loc[fn_index].copy()
-                # Swap rows
-                df.loc[fn_index] = df.loc[fp_index]
-                df.loc[fp_index] = temp
-
-            # Write the modified DataFrame back to the Excel file without adding an index column
-            df.to_excel(writer, sheet_name=sheet_name, index=True, index_label=None)
-
-    print(f"Swapped FP and FN rows in '{excel_path}' and saved to '{output_path}'.")
-
-# Path to your existing Excel file
-input_excel_path = '../output_cv_metrics/metrics.xlsx'
-# Path where the modified Excel file will be saved
-output_excel_path = '../output_cv_metrics/metrics_fixed.xlsx'
-
-# Call the function
-swap_fp_fn_rows(input_excel_path, output_excel_path)

model_selection/fixing_fp_fn/fixing_test_results.py

-import pandas as pd
-
-def swap_fp_fn(excel_path, output_path):
-    # Load the Excel file
-    excel_data = pd.ExcelFile(excel_path)
-
-    # Create a Pandas ExcelWriter using openpyxl engine
-    with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
-        # Iterate through each sheet in the Excel file
-        for sheet_name in excel_data.sheet_names:
-            # Read the sheet into a DataFrame
-            df = excel_data.parse(sheet_name)
-
-            # Check if the columns 'FP' and 'FN' exist in the DataFrame
-            if 'FP' in df.columns and 'FN' in df.columns:
-                # Swap the 'FP' and 'FN' columns
-                df['FP'], df['FN'] = df['FN'].copy(), df['FP'].copy()
-
-            # Save the modified DataFrame back to the sheet in the new Excel file
-            df.to_excel(writer, sheet_name=sheet_name, index=False)
-
-    print(f"Swapped FP and FN columns in '{excel_path}' and saved to '{output_path}'.")
-
-# Path to your existing Excel file
-input_excel_path = '../output_test/testing_tuned_models.xlsx'
-# Path where the modified Excel file will be saved (can be the same as input_excel_path)
-output_excel_path = '../output_test/testing_tuned_models_fixed.xlsx'
-
-# Call the function with the file paths
-swap_fp_fn(input_excel_path, output_excel_path)
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