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Machine Learning - Decision Tree - Predicion Score

原文 2015-09-16 17:21:30 1 1 machine-learning/ decision-tree

I have two binary classifiers one for Sports and the other for Entertainment. I am using decision trees for the binary classifier. If both classifiers predict true, ie the document is both Sports and Entertainment, is there a way to determine which has a better score? Basically, I would like to know how I can come up with a score for each of my predictions. Thanks

1 answers

What do you mean by "better score" ?

If you want to evaluate each predictor, you can use the measures already mentioned.

If by stating "is there a way to determine which has a better score" you mean "how can I determine If the document is more relevant to a sports document than to an entertainment document", then the decision tree approach you are using is not the way to go. You should follow the TF - IDF and cosine similarity approach, in order to determine the similarity of documents.

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Machine Learning - Decision Tree - Predicion Score

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solution1 0 2015-09-17 09:06:54

solution1
0 2015-09-17 09:06:54