upd51

script5_1.py

@@ -49,6 +49,14 @@ y_train_updated = pd.Series(y_train_updated[:len(X_train)])
 # Update the 'y_train' array with the modified values
 y_train.loc[X_train.index] = y_train_updated
 
+# Fill NaN values with the mean of non-missing values
+y_train.fillna(y_train.mean(), inplace=True)
+
+# Convert the 'y_train' series to a NumPy array
+y_train = y_train.values
+
+
+
 # Create the neural network model
 model = Sequential()
 model.add(Dense(32, activation='relu', input_dim=X.shape[1]))