Consider the $2$ candidate splits of a data set with $2$ classes shown below. Which split will

be chosen?

Consider $3$ algorithms, the precession and recall values are: $c,$ and $c$ for algorithm $1,\frac{1}{2}c$

and $\frac{1}{2}c$ for algorithm $2,1\mathrm{.}8c,$ and $0\mathrm{.}2c$ for algorithm $3$ respectively, which algorithm will

be more preferable

The classifier performance on testing data is given in the enclosed confusion matrix.

What is the accuracy of the classifier?

Given a dataset with $20$ instances and a binary target variable, where $10$ instances

belong to class A and $10$ to class $B,$ calculate the entropy of the dataset?

Define overfitting and underfitting in the context of machine learning, and

explain the role of bias and variance in overfitting and underfitting