Turning a Pandas Dataframe to an array and evaluate Multiple Linear Regression Model

Question

I am trying to evaluate a multiple linear regression model. I have a data set like this :

Answer 1

y = broken_df.ground_truth.values
X = broken_df.drop('ground_truth', axis=1).values
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)
linreg = LinearRegression()
linreg.fit(X_train, y_train)
y_pred = linreg.predict(X_test)
print(linreg.score(X_test, y_test)
print(classification_report(y_test, y_pred))