ValueError:Target is multilabel-indicator but average=‘binary‘.Please choose another average setting

错误描述：

ValueError: Target is multilabel-indicator but average='binary' . Please choose another average setting，one of [None, 'micro', 'macro', 'weighted', 'samples'].

出错语句：

f1_score(y_true, y_pred)

原因分析：
sklearn.metrics模块中的precision_score，recall_score中对比的target和pred参数都是一维数组(若不是一维数组，则会认为某一行代表一个样本有多个标签)，因此在模型的批训练时，获得的预测结果，需要先转换成一维数组再计算precision,recall,f1等指标。

改为：

f1_score(y_true, y_pred, 'binary')

Python将二维数组/多维数组转换为一维详细见：
https://blog.csdn.net/qq_42251157/article/details/125091328

参考博文：https://blog.csdn.net/hoo1990/article/details/117377466

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