python from sklearn.datasets import load_iris from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestClassifier from sklearn.metrics import accuracy_score from sklearn.externals import joblib iris = load_iris() X, y = iris.data, iris.target X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) model = RandomForestClassifier(n_estimators=100) model.fit(X_train, y_train) joblib.dump(model, 'model.joblib') loaded_model = joblib.load('model.joblib') y_pred = loaded_model.predict(X_test) accuracy = accuracy_score(y_test, y_pred) print(f"Accuracy: {accuracy}")