def score(self, X, y):
        y_pred = self.predict(X)
        acc = np.sum(y == y_pred, axis=0) / float(X.shape[0])
        return acc
get_wf_modules(host:str, port:int, db_name:str, vt_id:int,
dataset/ETHPy150Open rasbt/mlxtend/mlxtend/classifier/base.py/_BaseClassifier.score--crossover with--dataset/ETHPy150Open VisTrails/VisTrails/vistrails/gui/application_server.py/RequestHandler.get_wf_modules