Why am I getting very different results between SVC, LinearSVC and Naive Bayes?
$begingroup$
I am doing classification by using bag-of-words model. The goal is to locate users based on their tweets. Splitted the data as 80% training and 20% test.
I did experiments with sklearn's SVC and Naives Bayes. The results 35% and 42% accuracy respectively. However, when I try the sklearn's LinearSVC algorithm, it gives me 80% which is shocking.
This is the part of the code:
text_clf = Pipeline([
('vect', CountVectorizer(stop_words='english')),
('tfidf', TfidfTransformer()),
('clf', LinearSVC()),
])
text_clf.fit(train_data, train_target)
What might be the reason for that? Why LinearSVC performs really good?
scikit-learn svm
asked 7 mins ago
Mert MetinMert Metin
1
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Mert Metin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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add a comment |
$begingroup$
I am doing classification by using bag-of-words model. The goal is to locate users based on their tweets. Splitted the data as 80% training and 20% test.
I did experiments with sklearn's SVC and Naives Bayes. The results 35% and 42% accuracy respectively. However, when I try the sklearn's LinearSVC algorithm, it gives me 80% which is shocking.
This is the part of the code:
text_clf = Pipeline([
('vect', CountVectorizer(stop_words='english')),
('tfidf', TfidfTransformer()),
('clf', LinearSVC()),
])
text_clf.fit(train_data, train_target)
What might be the reason for that? Why LinearSVC performs really good?
scikit-learn svm
asked 7 mins ago
Mert MetinMert Metin
1
New contributor
Mert Metin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I am doing classification by using bag-of-words model. The goal is to locate users based on their tweets. Splitted the data as 80% training and 20% test.
I did experiments with sklearn's SVC and Naives Bayes. The results 35% and 42% accuracy respectively. However, when I try the sklearn's LinearSVC algorithm, it gives me 80% which is shocking.
This is the part of the code:
text_clf = Pipeline([
('vect', CountVectorizer(stop_words='english')),
('tfidf', TfidfTransformer()),
('clf', LinearSVC()),
])
text_clf.fit(train_data, train_target)
What might be the reason for that? Why LinearSVC performs really good?
scikit-learn svm
asked 7 mins ago
Mert MetinMert Metin
1
New contributor
Mert Metin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I am doing classification by using bag-of-words model. The goal is to locate users based on their tweets. Splitted the data as 80% training and 20% test.
I did experiments with sklearn's SVC and Naives Bayes. The results 35% and 42% accuracy respectively. However, when I try the sklearn's LinearSVC algorithm, it gives me 80% which is shocking.
This is the part of the code:
text_clf = Pipeline([
('vect', CountVectorizer(stop_words='english')),
('tfidf', TfidfTransformer()),
('clf', LinearSVC()),
])
text_clf.fit(train_data, train_target)
What might be the reason for that? Why LinearSVC performs really good?
scikit-learn svm
scikit-learn svm
asked 7 mins ago
Mert MetinMert Metin
1
New contributor
Mert Metin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 7 mins ago
Mert MetinMert Metin
1
New contributor
Mert Metin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 7 mins ago
Mert MetinMert Metin
1
New contributor
Mert Metin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 7 mins ago
Mert MetinMert Metin
1
asked 7 mins ago
Mert MetinMert Metin
1
1
New contributor
Mert Metin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Mert Metin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Mert Metin is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
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