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feat: If applied, this commit will make 'support' optional for classification report (#463)

* feat: If applied, this commit will make 'support' optional for classification report

This change is being made because the user had no control over when and how to
display support on the classification report visualizer.

It's being made to allow the user to select if the support will be showcased
as a raw count of a percentage.

This change is also being made because we want the new feature to be backward-compatible

Expands PR #413
It provides

* Fix: If applied this adds tests for 'support' option for classification report

This change is being made to test both visually and numerically the support option

Expands PR #413

* Fix: If applied this commit will implement code revive suggestions

These changes are made for these reasons:
1. Added ```self._displayed scores``` which allows flexibility in
changing the display in the future
2. Added validation test which catches when user enters an invalid
string into support argument

* Fix: if applied these changes incorporate latest reviewers suggestions

Adds a more descriptive Error Message for Invalid support input
Adds a random state argument to DecisionTreeClassifier in quickmethod PyTest
Improves inline comments
Converts ```_support_scores``` from a private variable to a learned parameter ```support_scores_```

* Try to get quick Method Image comparison test to pass

* Try to get quick Method Image comparison test to pass

* Test: If applied this will fix quick method test by introducing a random_state for DicisionTreeClassifier

* Increase tolerance to 25 for assert similar image test for quickmethod test

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Source Files on job 152.2