From 6408166ced2ee02d615fcea24d5ef23005617d7f Mon Sep 17 00:00:00 2001
From: muhamad fais aizat <muhfaisaizat@gmail.com>
Date: Mon, 5 May 2025 17:54:47 +0700
Subject: [PATCH] fix:memperbaiki MAPE

---
 .../__pycache__/predictTomat.cpython-310.pyc  | Bin 8155 -> 8155 bytes
 .../__pycache__/testingModel.cpython-310.pyc  | Bin 4277 -> 4289 bytes
 backend/routes/testingModel.py                |   4 ++--
 .../src/pages/Panel/TestingSVR/Evaluasi.jsx   |   2 +-
 .../pages/Panel/TestingSVR/InputKernel.jsx    |   2 +-
 5 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/backend/routes/__pycache__/predictTomat.cpython-310.pyc b/backend/routes/__pycache__/predictTomat.cpython-310.pyc
index 01c90e66304275d71b852ca1b4852ef0479ef310..326c47ffa0b9dbd1c30fea12d770f6df0c3bdd63 100644
GIT binary patch
delta 20
acmca@f7_lrpO=@50SHp-BsOwikOu%gO$B)X

delta 20
acmca@f7_lrpO=@50SI>P5#GpsK^_1=^ach1

diff --git a/backend/routes/__pycache__/testingModel.cpython-310.pyc b/backend/routes/__pycache__/testingModel.cpython-310.pyc
index 36cf9cfee0e9a231225c67055ef25e832c5ecdc5..bbd0e70d4fbf4ace7f26bf27a472559b1d58aac3 100644
GIT binary patch
delta 1016
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JO;`QXKLH}u<l6uM

delta 991
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M7XldwuzP{&pO%;8^Z)<=

diff --git a/backend/routes/testingModel.py b/backend/routes/testingModel.py
index e445d4c8..db20b4f2 100644
--- a/backend/routes/testingModel.py
+++ b/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()
diff --git a/frontend/src/pages/Panel/TestingSVR/Evaluasi.jsx b/frontend/src/pages/Panel/TestingSVR/Evaluasi.jsx
index 9d4876e2..686d426d 100644
--- a/frontend/src/pages/Panel/TestingSVR/Evaluasi.jsx
+++ b/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>
diff --git a/frontend/src/pages/Panel/TestingSVR/InputKernel.jsx b/frontend/src/pages/Panel/TestingSVR/InputKernel.jsx
index f890f990..9a2985c7 100644
--- a/frontend/src/pages/Panel/TestingSVR/InputKernel.jsx
+++ b/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 {