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Interpretation of a decision tree plot

The answer to your first question depends on what, exactly, you mean by "easier". The answer to your second question is "no". The fact that A was found on the first branch simply ...
Peter Flom's user avatar
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1 vote

How to interpret this confusion matrix in R?

The accuracy of your model is 0.82, but this isn't very good, as there is 82% of the data in one class. In other words, if you made no model at all, you could do just as well as your model. You can ...
Peter Flom's user avatar
  • 122k
1 vote

High Precision and High Recall issue- Random Forest Classification

You go into the modeling by telling the model to expect category zero. Category zero is, after all, considerably more prevalent. You then present evidence about class membership by giving the model ...
Dave's user avatar
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