Grid3.py

#Split data into attributes and class
X = data.drop(['Class'],axis=1)
y = data['Class']

#perform training and test split
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=42)

#Dummy Classifier
from sklearn.dummy import DummyClassifier
clf = DummyClassifier(strategy= 'most_frequent').fit(X_train,y_train)
y_pred = clf.predict(X_test)

#Distribution of y test
print('y actual : \n' +  str(y_test.value_counts()))

#Distribution of y predicted
print('y predicted : \n' + str(pd.Series(y_pred).value_counts()))