机器学习：训练集和测试集定义 - 深入理解数据划分
The training set is defined as D_tr = {X_L, y_L}, where X_L represents labeled samples and y_L represents sample labels, y_i∈{0,1}, 0 represents negative samples, and 1 represents positive samples. The test set is defined as D_un = {X_un}, where X_un represents test samples.
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