Kernel Density Estimator (KDE) Quiz

To identify outliers in the dataset

To perform linear regression analysis on the data

To visualize the probability distribution function (pdf) and cumulative distribution function (CDF) graphics (correct)

To calculate the mean and standard deviation of the data

It is used for linear regression analysis

It is used to identify outliers in the dataset

It is used as a weight to smoothen the probability distribution function (correct)

It is used to calculate the mean and standard deviation of the data

The kernel value remains constant

The kernel value becomes unpredictable

The kernel value increases

The kernel value decreases (correct)

<p>The contribution of a farther sample is less compared to the nearest training samples</p> Signup and view all the answers

<p>Gaussian Kernel</p> Signup and view all the answers