What is a disadvantage of one-vs-all classification?1 pointIt cannot output probability estimates of classes.There’s an ambiguous region where multiple classes are valid outputs.It does not handle two-class classification well.It requires more models to be created compared to one-vs-one.

5.Question 5What is a disadvantage of one-vs-all classification?1 pointThere’s an ambiguous region where multiple classes are valid outputs.It cannot output probability estimates of classes.It requires more models to be created compared to one-vs-one.It does not handle two-class classification well.

What is a disadvantage of one-vs-all classification?

In the One vs Rest method for Multiclass classification, sum of probabilities of all classes(achieved by one model for every class) equals 1.

What is an advantage of the L1 distance over L2?1 pointIt can better handle high dimensional data.It's useful for coordinate based measurements.It's better for data where location of occurrence is less important.It shows the difference between sets of values.

What is the main difference between single and manifold classification?The number of attributesThe type of dataThe source of dataThe purpose of classification