text: import pandas as pd
  import numpy as np
  from sklearn.ensemble import GradientBoostingClassifier
  from sklearn.metrics import accuracy_score, precision_score, roc_auc_score
  from sklearn.model_selection import cross_val_score, StratifiedKFold
  from CrossValidation import crossValidation
  
  
  def gradientBoost(X, Y, X_test, Y_test, cv=10):
  
      clf = GradientBoostingClassifier(
          learning_rate=0.1, n_estimators=200, max_depth=4)
      return crossValidation(clf, X, Y)
  
  
  def gradientBoostclf():
  
      return GradientBoostingClassifier(learning_rate=0.1, n_estimators=200, max_depth=4)
  