### Multinomial Naive Bayes Classifier
from sklearn.naive_bayes import MultinomialNB
clf = MultinomialNB(alpha=0.01)
clf.fit(train_x, train_y)
### KNN Classifier
from sklearn.neighbors import KNeighborsClassifier
clf = KNeighborsClassifier()
clf.fit(train_x, train_y)
### Logistic Regression Classifier
from sklearn.linear_model import LogisticRegression
clf = LogisticRegression(penalty='l2')
clf.fit(train_x, train_y)
### Random Forest Classifier
from sklearn.ensemble import RandomForestClassifier
clf = RandomForestClassifier(n_estimators=8)
clf.fit(train_x, train_y)
### Decision Tree Classifier
from sklearn import tree
clf = tree.DecisionTreeClassifier()
clf.fit(train_x, train_y)
### GBDT(Gradient Boosting Decision Tree) Classifier
from sklearn.ensemble import GradientBoostingClassifier
clf = GradientBoostingClassifier(n_estimators=200)
clf.fit(train_x, train_y)
### SVM Classifier
from sklearn.svm import SVC
clf = SVC(kernel='rbf', probability=True)
clf.fit(train_x, train_y)