def _get_95confidence(self, scores):
    mean = np.mean(scores).item()
    std = np.std(scores).item()
    _d = ((1.96 * std) / np.sqrt(scores.shape[0]))
    return (float(mean), float(_d))
def _get_95confidence(self, scores):
    mean = np.mean(scores).item()
    std = np.std(scores).item()
    _d = ((1.96 * std) / np.sqrt(scores.shape[0]))
    return (float(mean), float(_d))