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What is the total numbers of parameters to estimate for a Gaussian Mixture Model with full covariance matrices and k clusters on a dataset with d features?

A classifier has an accuracy of 94% on the training set and an accuracy of 29% on the test set. The model is most likely:

Given two random variables, X and Y, a cov(X,Y) > 0 indicates X and Y are 

Which of the following are not a statistical measure of dispersion? (select all that apply)

In the context of Gaussian Mixture Models, what is the main difference between the Akaike Information Criterion (AIC) and the Bayesian Information Criterion (BIC) when selecting the optimal number of components?

Multivariate Gaussian/Normal distribution belongs to the location-scale family of distributions. The ______ defines the location, while the ______ controls the scale.

If we use distance measures for compactness and separability for assessing the quality of clustering, we should aim to

You are asked to use machine learning to analyze audio data to classify different vessels types. The output of your model on your test data is captured in the confusion matrix below. What are the number of times the model misclassified “Tug” as either “Cargo” or “Passengership”?

____ aims to decrease ____ while ____ aims to decrease ____.

Random variables R and S are independent if the probability P(R, S)