def train_model(training_file_name):
data = common.read_file(training_file_name)
x_train = data[:, features]
y_train = data[:, 1]
xgb = XGBClassifier()
xgb.classes_ = [0, 1]
xgb = xgb.fit(x_train, y_train)
scores = cross_val_score(xgb, x_train, y_train, cv=10, scoring='accuracy')
print("Scores gotten using AdaBoost classifier (# of estimators=" +
str(25) + ")")
print(scores)
print(np.mean(scores))
return xgb
