Machine Learning Quiz

In kNN, for measuring distance with continuous features we use _____

What is the output of a classification algorithm?

Esep. The logistic function k

How the performance of k-nearest neighbors (k-NN) is affected by small values of k

In a confusion matrix for cancer detection if We predicted yes, but they don't have the disease

Data used to optimize the parameter settings of a supervised learner model.

Mathematical techniques that guide how the parameter space should be explored during Bayesian optimization.

In a simple regression model, if you increase the input value by 1 then you expect the output to change by :

The problem of classification is :

What is the number of deaths in India due to SARS-Cov-2 at 5 weeks from day 0? Define the response variable.