A discriminative model

Support Vector Machine is-(1 Point)a discriminative classifiera lazy learning classifiera probabilistic classifierNone

In linear discriminant analysis, how are observations classified? Based on posterior probabilities Based on prior probabilities Based on residuals Based on the F-statistic

A Classification rule is said?*1 pointc. Probabilistic classificationa. Discriminative classificationd. Both a and cb. Generative classification

What theorem is fundamental to the concept of linear discriminant analysis? Central limit theorem No free lunch theorem Bayes' theorem Occam's razor

Q.No 8. Linear discriminants are used for:a) Regression tasks predicting continuous valuesb) Classification tasks separating different classesc) Dimensionality reduction techniques for data visualizationd) Clustering algorithms group similar data points