def clear(key_params=[]):
X, y = ReadingFile.read_csv('TRAIN_CORPUS.csv')
X = PreprocessData.prepare_data(X, mode='save', key_features=key_params)
return X, y
return metrics.accuracy_score(y, predicted)
# In[2]:
X, y = clear()
svm_clf = SVC(kernel='linear')
svm_clf.fit(X, y)
# In[3]:
# test feature transformation
scores = []
X, y = ReadingFile.read_csv('TRAIN_CORPUS.csv')
scores.append(check_score(X, y, svm_clf))
X, y = ReadingFile.read_csv('TRAIN_CORPUS.csv')
scores.append(check_score(PreprocessData.prepare_features(X), y, svm_clf))
X, y = ReadingFile.read_csv('TRAIN_CORPUS.csv')
scores.append(
check_score(PreprocessData.prepare_data(X, mode='save'), y, svm_clf))
scores
# In[6]:
# test feature importances
