train = pd.read_csv("data/train.csv")
test  = pd.read_csv("data/test.csv")
X_y_train = xgb.DMatrix(data=train[['Pclass', 'Age', 'Fare', 'SibSp', 'Parch']],
                        label=train['Survived'])
X_test    = xgb.DMatrix(data=test[['Pclass', 'Age', 'Fare', 'SibSp', 'Parch']])

params = {
          'base_score': np.mean(train['Survived']),
          'eta':  0.1,
          'max_depth': 3,
          'gamma' :3,
          'objective'   :'reg:linear',
          'eval_metric' :'mae'
         }
model = xgb.train(params=params,
                  dtrain=X_y_train,
                  num_boost_round=3)