import numpy as np
from sklearn.metrics import roc_auc_score

def get_score(y_true, y_pred):
    scores = []
    for i in range(y_true.shape[1]):
        score = roc_auc_score(y_true[:,i], y_pred[:,i])
        scores.append(score)
    avg_score = np.mean(scores)
    return avg_score, scores