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Why len(test_edges_false) equals to len(test_edges)?

Open CXX1113 opened this issue 5 years ago • 2 comments

Is there any theoretical support behind this evaluation method?

CXX1113 avatar Jul 08 '19 04:07 CXX1113

The balance of positive and negative samples for binary classification. e.g If the sample 90% of edges are positive, the model will learn to predict 1 whatever data it got and achieve 90% accuracy ratio

bigheiniu avatar Aug 02 '19 17:08 bigheiniu

The balance of positive and negative samples for binary classification. e.g If the sample 90% of edges are positive, the model will learn to predict 1 whatever data it got and achieve 90% accuracy ratio

However, this does not reflect the true distribution. If the model is biased against the positive side and used for practical use, it will cause problems, that is, many false positives will be generated.

CXX1113 avatar Aug 09 '19 07:08 CXX1113