FIX:macro-averaged翻译为宏平均

docs/32.md

@@ -36,7 +36,7 @@ Model selection （模型选择）和 evaluation （评估）使用工具，例
 | ‘average_precision’ | [`metrics.average_precision_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html#sklearn.metrics.average_precision_score "sklearn.metrics.average_precision_score") |   |
 | ‘f1’ | [`metrics.f1_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html#sklearn.metrics.f1_score "sklearn.metrics.f1_score") | for binary targets（用于二进制目标） |
 | ‘f1_micro’ | [`metrics.f1_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html#sklearn.metrics.f1_score "sklearn.metrics.f1_score") | micro-averaged（微平均） |
-| ‘f1_macro’ | [`metrics.f1_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html#sklearn.metrics.f1_score "sklearn.metrics.f1_score") | macro-averaged（微平均） |
+| ‘f1_macro’ | [`metrics.f1_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html#sklearn.metrics.f1_score "sklearn.metrics.f1_score") | macro-averaged（宏平均） |
 | ‘f1_weighted’ | [`metrics.f1_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html#sklearn.metrics.f1_score "sklearn.metrics.f1_score") | weighted average（加权平均） |
 | ‘f1_samples’ | [`metrics.f1_score`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html#sklearn.metrics.f1_score "sklearn.metrics.f1_score") | by multilabel sample（通过 multilabel 样本） |
 | ‘neg_log_loss’ | [`metrics.log_loss`](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.log_loss.html#sklearn.metrics.log_loss "sklearn.metrics.log_loss") | requires `predict_proba` support（需要 `predict_proba` 支持） |