Updated precision of output metrics

[kushagrathisside]

Problem

Precision value= 2 involves round-off of many decimal values making the multiple algorithms show same score. When the percentage is mentioned, no decimal point can be mentioned from the prediction, which raises issues when the work is mentioned in documents. Also, these close scores make algorithm selection for hyperparameter tuning difficult.

Screenshot:

I got 5 algorithms with same accuracy 0.86 on using LazyClassifier.

Updates Made: I have updated the precision value to 4.

[kushagrathisside]

@shankarpandala

[shankarpandala]

May be you should create a parameter to pass for precession for user to chosse.
precession for 4 is not much use for many

[kushagrathisside]

The change in value of precision has been made in lines 33 and 34, which sets the values without being affected by user inputs. Also, if values 2 or 4 are considered then I made the value to 4 to present 2 values to the left and 2 to the right (decimal values). If I have to add some parameter, then please suggest me the function/class where I can add it.