lsvm

from sklearn.pipeline import Pipeline
from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer
from sklearn.svm import LinearSVC
from sklearn.metrics import accuracy_score, classification_report

# Load Data
train = pd.read_csv('path/data.csv')
test = pd.read_csv('path/data.csv')

# Training and Testing Set Assignment
X = train.description
y = train.label
X_train = train.description
X_test = test.description
y_train = train.label
y_test = test.label

# LSVM Modeling
SVC = Pipeline([('vect', CountVectorizer()),
                ('tfidf', TfidfTransformer()),
                ('clf', LinearSVC()),
               ])
SVC.fit(X_train, y_train)

y_pred = SVC.predict(X_test)

print('accuracy %s' % accuracy_score(y_pred, y_test))
print(classification_report(y_test, y_pred))