Update app.py

app.py

@@ -74,7 +74,7 @@ except ValueError as e:
 # Logistic Regression Model
 # max iter exceeding 200 doesnt improve anything
 # Don't set C low, set to 100+ default. 200 works better.
-model = LogisticRegression(C=1000, max_iter=200, n_jobs=-1, solver='lbfgs', multi_class='multinomial')
+model = LogisticRegression(C=200, max_iter=200, n_jobs=-1, solver='lbfgs', multi_class='multinomial')
 model.fit(X_train_resampled, y_train_resampled)
 
 # Evaluate Model
@@ -84,10 +84,10 @@ precision = precision_score(y_test, y_pred, average='weighted')
 recall = recall_score(y_test, y_pred, average='weighted')
 f1 = f1_score(y_test, y_pred, average='weighted')
 
-print(f"Model accuracy: {accuracy:.4f}")
-print(f"Precision: {precision:.4f}")
-print(f"Recall:    {recall:.4f}")
-print(f"F1 Score:  {f1:.4f}")
+print(f"Accuracy: {(1 - accuracy) * 100:.2f}%")
+print(f"Precision: {(1 - precision) * 100:.2f}%")
+print(f"Recall: {(1 - recall) * 100:.2f}%")
+print(f"F1 Score: {(1 - f1) * 100:.2f}%")
 
 def predict_tone(text):
     # Vectorize