TimothyYe

import numpy as np
from sklearn.datasets import make_classification
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score
from xgboost import XGBClassifier

# Generate a sample dataset
X, y = make_classification(n_samples=1000, n_features=20, n_classes=2, random_state=42)