Update app.py

app.py

@@ -14,6 +14,14 @@ import pandas as pd
 
 df_strength=pd.read_csv("data_strength11.csv")
 
+import random
+
+x_strength=df_strength.iloc[:,:-1]
+y_strength=df_strength.iloc[:,-1]
+from sklearn.model_selection import train_test_split
+x_train, x_test, y_train, y_test=train_test_split(x_strength,y_strength, test_size=0.15, random_state=2)
+
+
 clf = XGBRegressor(learning_rate=0.1788, max_depth=27, subsample=0.5146, n_estimators=100)
 clf.fit(x_train, y_train)