def METHOD_NAME(self):
    """Checks that standardization execution passes"""
    self.assertModule(
        "r.learn.train",
        group=self.group,
        training_map=self.labelled_pixels,
        model_name="RandomForestClassifier",
        n_estimators=100,
        save_model=self.model_file,
        flags="s",
    )
    self.assertFileExists(filename=self.model_file)
    self.assertModule(
        "r.learn.predict",
        group=self.group,
        load_model=self.model_file,
        output=self.output,
    )
    self.assertRasterExists(self.output, msg="Output was not created")
    estimator, y, class_labels = joblib.load(self.model_file)
    trans = estimator.named_steps["preprocessing"].transformers[0]
    self.assertIsInstance(trans[1], StandardScaler)
    estimator = None