classification

[Solved] interpreting the confusion matrix [closed]

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Remove id feature, also check and remove any features which you think add no value to prediction (any other features like id) or features with unique values. Also check if there is any class imbalance (how many samples of each class are present in data, is there proper balance among the classes?). Then try applying … Read more

[Solved] Similarity measure in classification algorithm

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There a number of possible measures of similarity. Ideally, you should derive one yourself that takes account of the reason why you are doing this classification, so that good similarity scores amount to something that performs well when you use it in practice. Here are a few examples. 1) Cosine similarity. Treat the two sets … Read more