Ilia Gyrdymov

@Maro1F431 Hello! Thank you for your interest in the library. Random Forest is a too complicated algorithm, I'd like to recommend you something less difficult to begin with, for instance,...

@Maro1F431 Great! So please visit the [directory](https://github.com/gyrdym/ml_algo/tree/master/lib/src/metric/classification). You can use any of the metrics as an example. I think it's better to start with the f1 score.

@elioBen Hi! Thank you for creating the issue. There is no such a path right now, but it can be useful, I will consider adding this feature to the DecisionTreeClassifier.

@rimocell thank you for the report, I'll check the behaviour. Seems like there is a bug.

@rimocell btw, could you please share your data?

@CaptainDario Thank you for creating the issue! Indeed, there are too few words in the README about encoding, I'd recommend you to look at live [example](https://github.com/gyrdym/ml_algo/blob/master/e2e/knn_classifier/knn_classifier_test.dart) Although a different encoder...

@CaptainDario And regarding the additional info in README - I got your point, It's really needed to add some words on encoding + I'll fix the link

@CaptainDario thank you very much for such a precious feedback, I'll consider adding this functionality to the lib. Do you have any more problems with the package?

@CaptainDario I need to think it over, `unprocess` sounds a bit unclear for me.

@CaptainDario Hi. I'm not sure, but the package should be compatible with web, did you face any issues with that?