以Recall 則被譯為 召回率 。我的理解是它是原本是Positive 的資料，它能夠召回多少，也就是說 在原本Positive 的資料中被預測出 ... ... <看更多>

Compute the accuracy score and compare, you will see no difference. In case of macro average, the precision and recall are calculated for each ... ... <看更多>

机器学习中分类器的评价指标：召回率(recall), 精度(precision), ... 其中特別強調了經驗損失和分類誤差之間的差別，證明深度網絡每一層的權重矩陣可收斂至極小范數 ... ... <看更多>

This is the first part of a series of two videos In which I want to introduce the main ways by which we evaluate and compare our ... ... <看更多>