`import tensorflow
import keras
import pandas as pd
import numpy as np
import sklearn
from sklearn import linear_model
from sklearn.utils import shuffle
data = pd.read_csv("student-mat.csv", sep=";")
data = data[["G1", "G2", "G2", "studytime", "failures", "absences"]]
predict = "G3"
x = np.array(data.drop([predict], axis = 1))
y = np.array(data[predict])
x_train, x_test, y_train, y_test = sklearn.model_selection.train_test_split(x, y, test_size = 0.1)
linear = linear_model.linearRegression()
linear.fit(x_train, y_train)
acc = linear.score(x_test, y_test)
print(acc)`