Results of per class classification for the test set.

Support indicates the number of test sequences in each specific class. accuracy (fraction of observation correctly classified) is equivalent to the weighted average recall (weighted by the support of each class). The macro average is unweighted (all classes contribute the same).

支持数（Support）指每个特定类别下的测试序列数量。准确率（accuracy，即被正确分类的观测样本占比）等价于以各分类支持数为权重的加权平均召回率（recall）。宏平均（macro average）为无加权计算方式，即所有类别具有相同的权重贡献。