Problem_21: Implement Cross-Validation Manually in Machine Learning #ai#coding #ml #data

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Problem_21: Implement Cross-Validation Manually in Machine Learning #ai#coding #ml #data

#pythoncode :

def cross_validate(model, X, y, k=5):
kf = KFold(n_splits=k, shuffle=True, random_state=42)
accuracies = []
X_train, X_test = X[train_index], X[test_index]
y_train, y_test = y[train_index], y[test_index]

# Example usage:
# accuracy = cross_validate(LogisticRegression(), X, y)

#Sample_input

import numpy as np

# Sample dataset

# Example usage
accuracy = cross_validate(LogisticRegression(), X, y)
print("Cross-validated accuracy:", accuracy)

#Sample_output

Cross-validated accuracy: 0.9



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