fix:memperbaiki MAPE

backend/routes/testingModel.py

@@ -5,7 +5,7 @@ from sqlalchemy.orm import Session
 from sklearn.svm import SVR
 from sklearn.preprocessing import MinMaxScaler, StandardScaler
 from sklearn.model_selection import train_test_split
-from sklearn.metrics import mean_absolute_error, mean_squared_error
+from sklearn.metrics import mean_absolute_error, mean_squared_error, mean_absolute_percentage_error
 import matplotlib.pyplot as plt
 from config.db import get_db
 from models.index import priceTomat
@@ -121,7 +121,7 @@ def predict_price(
     # Evaluasi Model
     mae = mean_absolute_error(y_test, y_pred)
     rmse = np.sqrt(mean_squared_error(y_test, y_pred))
-    mape = np.mean(np.abs((y_test - y_pred) / y_test)) * 100
+    mape = mean_absolute_percentage_error(y_test, y_pred)  
 
     # Kembalikan skala data
     df_prediksi = df.iloc[len(X_train):].copy()

frontend/src/pages/Panel/TestingSVR/Evaluasi.jsx

@@ -78,7 +78,7 @@ const Evaluasi = ({ result }) => {
             <p>: {hyperparameters}</p>
             <p>: {result.Evaluasi_Model?.MAE}</p>
             <p>: {result.Evaluasi_Model?.RMSE}</p>
-            <p>: {result.Evaluasi_Model?.MAPE.toFixed(2)}%</p>
+            <p>: {(result.Evaluasi_Model?.MAPE * 100).toFixed(2)}%</p>
           </div>
         </div>
       </div>

frontend/src/pages/Panel/TestingSVR/InputKernel.jsx

@@ -76,7 +76,7 @@ const InputKernel = ({ setShowProses, dataHarga, result, setResult }) => {
                     infoHyperparameter,
                     MAE: response.data.Evaluasi_Model?.MAE.toString(),
                     RMSE: response.data.Evaluasi_Model?.RMSE.toString(),
-                    MAPE: response.data.Evaluasi_Model?.MAPE.toFixed(2).toString()
+                    MAPE: (response.data.Evaluasi_Model?.MAPE * 100).toFixed(2).toString()
                 };
 
                 try {