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I am trying to do svm model training and it gives this error:

 ValueError: Found input variables with inconsistent numbers of samples: [91, 212]

Code:

target = data.target
target.head()

##splitiing data into training and test data
X_train, X_test, y_train, y_test = train_test_split(train, target, test_size=0.3, random_state=101)
print("X_train size ===>", X_train.shape)
print("y_train size ===>", y_train.shape)
print("X_test size ===>", X_test.shape)
print("y_test size ===>", y_test.shape)

#Create a svm Classifier

clf = svm.SVC(kernel='linear')

#training the model using the training sets

clf.fit(X_train, y_train)

#predict the response for test dataset

y_pred = clf.predict(X_train)
ebrahimi
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Saeed Ur Rahman
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1 Answers1

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This error usually indicates your train and test in the train_test_split() function call are different sizes. You may need to reshape one to get them to match. Look at the shapes of train and test to see what is the problem.

Donald S
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