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Feature: Integration with sklearn-evaluation #531

@idomic

Description

@idomic

Is your feature request related to a problem? Please describe.
I think adding an integration/tutorial and the right documentation of the framework can go a long way.

Here's a sample flow

User calls Neuraxle and fit function with training data.
It would then generate the plots for model assessment and performance evaluation (based on user's the predictions).

Describe the solution you'd like
Usually, when using Neuraxle you'd get the final model, and then you'll check performance and results.
This will allow an easier mechanism for the users to solve the second part of it.

Describe alternatives you've considered
Currently users have to get their own custom package and write extra code to achieve it.

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