Perkinson SVM Train accuracy test abed

import pandas as pd

data = pd.read_csv("data.csv")

# print(data)

from sklearn.model_selection import train_test_split

training_set, test_set = train_test_split(data, test_size=0.2, random_state=1)

X_train = training_set.iloc[:, 0:2].values
Y_train = training_set.iloc[:, 2].values
X_test = test_set.iloc[:, 0:2].values
Y_test = test_set.iloc[:, 2].values

from sklearn.svm import SVC

classifier = SVC(kernel='rbf', random_state=1)
classifier.fit(X_train, Y_train)

Y_pred = classifier.predict(X_test)

test_set["Predictions"] = Y_pred

from sklearn.metrics import confusion_matrix

cm = confusion_matrix(Y_test, Y_pred)
accuracy = float(cm.diagonal().sum()) / len(Y_test)
print("Accuracy : ", accuracy)