调用过程 CM = Confusion_matrix(train_predicts, train_targets) [combining_predicts, errorrate] = combinin

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调用过程 CM = Confusion_matrix(train_predicts, train_targets) [combining_predicts, errorrate] = combining_NB(DP, test_targets, CM) DP，三维数组，(i,j,k)为第k个样本的DP矩阵 targets 为 0 1 2

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• 调用过程 CM = Confusion_matrix(train_predicts, train_targets) [combining_predicts, errorrate] = combinin