2)foriinrange(200)]micro_f1=f1_score(labels,predicts,average='micro')macro_f1=f1_score(labels...
macro先要计算每一个类的F1，有了上面那个表，计算各个类的F1就很容易了，比如1类，它的 精确率P=3...
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 ...
AVG NASDAQ COMPOSITE INDEX Date: Mar 31, 2012 Last close 3,408.2 1,408.5 13,212.0 3,091.6 %3M chg 12.7 12.0 8.1 18.7 %12M chg 7.9 6.2 7.2 11.2 Exchange rate US$/¥ €/US$ £/US$ CHF/US$ US$/S$ Last close 82.9 1.3 1.6 0.9 1.3 %3M chg %12M chg (7.2) 0.3 (2.9) 6.1...
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 ...
fromsklearn.metricsimportclassification_reportprint(classification_report([0,0,0,0,1,1,1,2,2],[0,0,1,2,1,1,2,1,2]))precisionrecallf1-scoresupport01.000.500.67410.500.670.57320.330.500.402avg/total0.690.560.589 可以看出,各个类别的准召计算完全一致。
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...