You Trained A Decision Tree For A Binary Classification Problem You Reported A Low Training Classification Error But A 1 (52.39 KiB) Viewed 30 times
You trained a decision tree for a binary classification problem. You reported a low training classification error, but an extremely large classification testing error. You also checked out other classification algorithms and most of them perform much better than the tree model. What could be the cause of this problem? (Check all that apply) There is too much testing data There is too much training data Decision tree is overfitting Decision tree is too deep
Given the following percentages about breast cancer, what is the probability that a woman has cancer if she has a positive mammogram result? (a) 1% of women have breast cancer. (b) 90% of mammograms detect breast cancer when it is there! (c) 8% of mammograms detect breast cancer when it's not there! 8% 20.5% 10.2% 12.2%
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