"""Train an Iris flower classifier and save it as model.joblib."""
import joblib
from sklearn.datasets import load_iris
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split

data = load_iris()
X_train, X_test, y_train, y_test = train_test_split(
    data.data, data.target, test_size=0.2, random_state=42, stratify=data.target
)

model = RandomForestClassifier(n_estimators=100, random_state=42)
model.fit(X_train, y_train)

acc = accuracy_score(y_test, model.predict(X_test))
print(f"Test accuracy: {acc:.2%}")

joblib.dump({"model": model, "classes": list(data.target_names)}, "model.joblib")
print("Saved model.joblib")