这种情况下，也就是数据极度不均衡的情况下，micro-f1影响就很大，micro-f1此时几乎只能反映那个类样本量...
“宏查全率”（macro-R）、“宏F1”（macro-F1） 正常最终求得就是“宏F1”
⑤'weighted': 对每一类别的f1_score进行加权平均,权重为各类别数在y_true中所占比例。 Calculate metrics for each label, and find their average, weighted by support (the number of true instances for each label). This alters ‘macro’ to account for label imbalance; it can result in an F-sco...
Index Bloomberg Global Aggregate Credit Index Bloomberg Global High Yield Corporate Bond Index Bloomberg Global Treasury Index Bloomberg Pan-European High Yield Index The Bankrate.com US Home Mortgage 30 Year Fixed National Avg Index includes only 30-Year Fixed Mortgage products, with and without ...
Potential outliers were identified and a comparison made of their Grubbs statistic ((xout-xavg)/s) to a Grubbs critical value, which is based on the number of samples. For data points within each study that were identified as significant outliers, the effect of their removal on the final ...
micro-F1：计算方法：先计算所有类别的总的Precision和Recall，然后计算出来的F1值即为micro-F1；使用场景...