Data Science Asked by Rajan Lagah on December 5, 2020
I have multilabel problem.
I was using onevsrestclassifier
and now i want to use onevsoneclassifier
.
from sklearn.svm import SVC
classifire = SVC(gamma='auto')
accuracy = []
skf = StratifiedKFold(n_splits=10,random_state=None)
kf = KFold(n_splits=5)
skf.get_n_splits(X_train,y_train)
for train_index,test_index in kf.split(X_train,y_train):
X1_train,X1_test = X_train.iloc[train_index],X_train.iloc[test_index]
y1_train,y1_test = y_train.iloc[train_index],y_train.iloc[test_index]
clf = OneVsOneClassifier(classifire)
# clf = OneVsRestClassifier(classifire)
clf.fit(X1_train,y1_train)
prediction = clf.predict(X1_test)
score = accuracy_score(prediction,y1_test)
print(score)
But i am getting error only in OneVsOneClassifier
<ipython-input-47-91b351c58c24> in <module>
11 clf = OneVsOneClassifier(classifire)
12 # clf = OneVsRestClassifier(classifire)
---> 13 clf.fit(X1_train,y1_train)
14 prediction = clf.predict(X1_test)
15
..
ValueError: bad input shape (19051, 206)
I am new here. Can you help me ?
print(X1_train.shape)
print(y1_train.shape)
print(X1_test.shape)
print(y1_test.shape)
o/p
(19051, 875)
(19051, 206)
(4763, 206)
(4763, 875)
accuracy = []
skf = StratifiedKFold(n_splits=10,random_state=None)
kf = KFold(n_splits=5)
skf.get_n_splits(X_train,y_train)
for train_index,test_index in kf.split(X_train,y_train):
X1_train,X1_test = X_train.iloc[train_index],X_train.iloc[test_index]
y1_train,y1_test = y_train.iloc[train_index],y_train.iloc[test_index]
clf = OneVsOneClassifier(classifire)
# clf = OneVsRestClassifier(classifire)
print("X1_train",X1_train.shape)
print("y1_train",y1_train.shape)
print('X1_test',X1_test.shape)
print('y1_test',y1_test.shape)
clf.fit(X1_train,y1_train)
prediction = clf.predict(X1_test)
score = accuracy_score(prediction,y1_test)
print(score)
And the output is
X1_train (19051, 875)
y1_train (19051, 206)
X1_test (4763, 875)
y1_test (4763, 206)
So X1_train and test have same columns. But the error is same
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