Topic 1 Question 157
Your team is working on a binary classification problem. You have trained a support vector machine (SVM) classifier with default parameters, and received an area under the Curve (AUC) of 0.87 on the validation set. You want to increase the AUC of the model. What should you do?
Perform hyperparameter tuning
Train a classifier with deep neural networks, because neural networks would always beat SVMs
Deploy the model and measure the real-world AUC; it's always higher because of generalization
Scale predictions you get out of the model (tune a scaling factor as a hyperparameter) in order to get the highest AUC
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コメント(17)
Seems to be A. Preprocessing/scaling should be done with input features, instead of predictions (output)
👍 41aadaisme2020/06/09A Deep LEarning is not always the best solution D talks about fudgin the output which is wrong
👍 11FARR2020/08/13A for me, read below link for more details.
👍 4saurabh18052020/08/18
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