import numpy as np
import random
import math
from xgboost import XGBClassifier
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from sklearn.svm import SVC, LinearSVC
from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import RandomForestClassifier
def my_train_test(method,X,y,pi,k):
errors = []
Implement your code to calculate the errors here.
return np.array(errors)
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