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fix:memperbaiki MAPE

This commit is contained in:
muhamad fais aizat 2025-05-05 17:54:47 +07:00
parent d736821548
commit 6408166ced
5 changed files with 4 additions and 4 deletions
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backend/routes/__pycache__/predictTomat.cpython-310.pyc
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backend/routes/__pycache__/testingModel.cpython-310.pyc
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backend/routes/testingModel.py
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@ -5,7 +5,7 @@ from sqlalchemy.orm import Session
from sklearn.svm import SVR from sklearn.svm import SVR
from sklearn.preprocessing import MinMaxScaler, StandardScaler from sklearn.preprocessing import MinMaxScaler, StandardScaler
from sklearn.model_selection import train_test_split 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 import matplotlib.pyplot as plt
from config.db import get_db from config.db import get_db
from models.index import priceTomat from models.index import priceTomat
@ -121,7 +121,7 @@ def predict_price(
# Evaluasi Model # Evaluasi Model
mae = mean_absolute_error(y_test, y_pred) mae = mean_absolute_error(y_test, y_pred)
rmse = np.sqrt(mean_squared_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 # Kembalikan skala data
df_prediksi = df.iloc[len(X_train):].copy() df_prediksi = df.iloc[len(X_train):].copy()

2
frontend/src/pages/Panel/TestingSVR/Evaluasi.jsx
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@ -78,7 +78,7 @@ const Evaluasi = ({ result }) => {
<p>: {hyperparameters}</p> <p>: {hyperparameters}</p>
<p>: {result.Evaluasi_Model?.MAE}</p> <p>: {result.Evaluasi_Model?.MAE}</p>
<p>: {result.Evaluasi_Model?.RMSE}</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> </div>
</div> </div>

2
frontend/src/pages/Panel/TestingSVR/InputKernel.jsx
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@ -76,7 +76,7 @@ const InputKernel = ({ setShowProses, dataHarga, result, setResult }) => {
infoHyperparameter, infoHyperparameter,
MAE: response.data.Evaluasi_Model?.MAE.toString(), MAE: response.data.Evaluasi_Model?.MAE.toString(),
RMSE: response.data.Evaluasi_Model?.RMSE.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 { try {