#we'll  have to split our data into two, 67% of our data to train and 33% to test
array = data.values
X = array[:,0:8]
Y = array[:,8]
test_size = 0.33
seed = 7
#spliting the dataset
X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=test_size,
random_state=seed)
#giving our algorith LogisticRegression a variable name
model = LogisticRegression()
#Training our model
model.fit(X_train, Y_train)