python from loso import Model, Dataset dataset = Dataset.load('data.csv') model = Model('random_forest', params={'n_estimators': 100}) model.fit(dataset) prediction = model.predict(new_sample) accuracy = model.evaluate(dataset) model.save('my_model') loaded_model = Model.load('my_model')