Added evaluation metrics and visualisation

[aryan1165]

Related Issue

#171

Description

Added evaluation metrics like f1 score, and auc-roc score, also created visualisations to get insights from these metrics.

Type of PR

• Bug fix
• Feature enhancement
• Documentation update
• Other (specify): _______________

Screenshot

Checklist:

• I have performed a self-review of my code
• I have read and followed the Contribution Guidelines.
• I have tested the changes thoroughly before submitting this pull request.
• I have provided relevant issue numbers, screenshots, and videos after making the changes.
• I have commented my code, particularly in hard-to-understand areas.

[Akshat111111]

Why A lot of code has been removed??You should add your contribution and could not entirely remove others work

[aryan1165]

I understand, but the only code removed was redundant also some outputs of large dataframe were shrunken, So that notebook is readable easily. Also, I shrunk some code to particular functions and dictionaries following the DRY convention in coding. Should I expand my file again?

[Akshat111111]

your work is good and I also agree with your point, but there are some visualizations so include it too then I will merge it.

[Akshat111111]

your work is good and I also agree with your point, but there are some visualizations so include it too then I will merge it too.Till the time I have merged it

[aryan1165]

I have merged those visualisations in one graph only, a histogram graph, in which all parameters are compared in one graph only. It's the same graph. Thanks for merging btw. I can improve these visualisations further.

[Akshat111111]

Sure