17. You\'ve just finished training a decision tree for spam classification, and

Question

17. You've just finished training a decision tree for spam classification, and it is getting abnormally bad performance on both your training and test sets. You know that your implementation has no bugs, so what could be causing the problem? (a) Your decision trees are too shallow. (b) You need to increase the learning rate. (c) You are overfitting. (d) All of the above. 18. Inthere's a possibility of overfitting the data if the number of trees is too large. (a) bagging (b) boosting (c) random forests -(d) all of the above

Explanation / Answer

Answer for the above mentioned questions are :

17 ) Answer )- Your decision trees are too shallow

18) Answer )- Random Forests

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