[amp_mcq option1=”AUC-ROC” option2=”Accuracy” option3=”Logloss” option4=”Mean-Squared-Error” correct=”option4″]<\/p>\n
The correct answer is D. Mean-Squared-Error (MSE).<\/p>\n
MSE is a measure of the average squared difference between the predicted values and the actual values. It is a good metric to use when the output variable is continuous, as it penalizes both over- and under-predictions.<\/p>\n
AUC-ROC is an area under the receiver operating characteristic curve. It is a measure of the model’s ability to distinguish between positive and negative examples. It is a good metric to use when the output variable is binary, as it takes into account the model’s ability to make correct predictions for both positive and negative examples.<\/p>\n
Accuracy is the percentage of examples that the model correctly predicts. It is a simple metric to understand, but it can be misleading when the output variable is imbalanced. For example, if a model is predicting whether a patient has cancer, and the prevalence of cancer is 1%, then a model that always predicts that the patient does not have cancer will have an accuracy of 99%. However, this model would not be very useful.<\/p>\n
Logloss is a measure of the cross-entropy between the predicted and actual values. It is a good metric to use when the output variable is categorical, as it takes into account the model’s ability to make correct predictions for all possible categories.<\/p>\n
In conclusion, MSE is the best metric to use to evaluate a model while modeling a continuous output variable.<\/p>\n","protected":false},"excerpt":{"rendered":"
[amp_mcq option1=”AUC-ROC” option2=”Accuracy” option3=”Logloss” option4=”Mean-Squared-Error” correct=”option4″]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[729],"tags":[],"class_list":["post-52423","post","type-post","status-publish","format-standard","hentry","category-machine-learning","no-featured-image-padding"],"yoast_head":"\n