The Evolution of Artificial Intelligence

Example Implementation

# Example: Model training with security considerations
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier

def train_secure_model(X, y, validate_inputs=True):
    """Train model with input validation"""

    if validate_inputs:
        # Validate input data
        assert X.shape[0] == y.shape[0], "Shape mismatch"
        assert not np.isnan(X).any(), "NaN values detected"

    # Split data securely
    X_train, X_test, y_train, y_test = train_test_split(
        X, y, test_size=0.2, random_state=42, stratify=y
    )

    # Train with secure parameters
    model = RandomForestClassifier(
        n_estimators=100,
        max_depth=10,  # Limit to prevent overfitting
        random_state=42
    )

    model.fit(X_train, y_train)
    score = model.score(X_test, y_test)

    return model, score