human
Solve the following python programming problem given the following code:
# 0: red
# 1: green
# 2: yellow

class ClassifierBase:
    def predict(self, X):
        return np.array([ self.predict_single(x) for x in X])
    def score(self, X, y):
        n = len(y)
        correct = 0
        predictions = self.predict(X)
        for prediction, ground_truth in zip(predictions, y):
            if prediction == ground_truth:
                correct = correct + 1
        return correct / n
Given the above code, generate some markdown instructions for it.
assistant
#Here is the Python code you requested.

Our Objective: Create a general Model to predict  the risk group from our features