Update app.py

app.py

@@ -309,29 +309,7 @@ def read_csv_file(uploaded_file):
     return None
 
 
-#-----------------------------------------------------------------calculate topsis score--------------------------------------------------------
 
-def calculate_topsis_score(df):
-    # Normalize the data
-    norm_df = (df.iloc[:, 1:] - df.iloc[:, 1:].min()) / (df.iloc[:, 1:].max() - df.iloc[:, 1:].min())
-
-    # Calculate the positive and negative ideal solutions
-    ideal_positive = norm_df.max(axis=0)
-    ideal_negative = norm_df.min(axis=0)
-
-    # Calculate the Euclidean distances
-    dist_positive = np.sqrt(((norm_df - ideal_positive) ** 2).sum(axis=1))
-    dist_negative = np.sqrt(((norm_df - ideal_negative) ** 2).sum(axis=1))
-
-    # Calculate the TOPSIS score
-    topsis_score = dist_negative / (dist_positive + dist_negative)
-
-    # Add the TOPSIS score to the dataframe
-    df['TOPSIS_Score'] = topsis_score
-
-    return df
-    # Calculate the TOPSIS score for the average metrics
-   
 
 #--------------------------------------------------- Nested Cross validation---------------------------------------------------------------------------
 
@@ -501,7 +479,7 @@ def run_cross_validation(training_file, training_additive_file, testing_file, te
     # Default parameters
     epochs = 1000
     batch_size = 64
-    outer_n_splits = 2
+    outer_n_splits = 10
     #inner_n_splits = 2
     min_child_weight=5
     learning_rate=0.001