COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
Predict traffic patterns at a busy intersection
|
|
|
Tune Model with data about past traffic patterns
|
|
|
Predict future traffic patterns
|
|
|
None of the above
|
Detailed explanation-1: -AUC (Area Under ROC curve) As name suggests, ROC is a probability curve and AUC measure the separability. In simple words, AUC-ROC metric will tell us about the capability of model in distinguishing the classes. Higher the AUC, better the model. We can use roc auc score function of sklearn.
Detailed explanation-2: -A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E. Don’t let the definition of terms scare you off, this is a very useful formalism.
Detailed explanation-3: -15. When performing regression or classification, which of the following is the correct way to preprocess the data? Explanation: You need to always normalize the data first. If not, PCA or other techniques that are used to reduce dimensions will give different results.