Your task is to classify toxic comments into 6&nbsp;classes (from 0 to 5).&nbsp;The metric is&nbsp;accuracy, the baselines quality is 0.65&nbsp;and 0.72. If you beat the first baseline you will get 12 points, if you bet the second baseline you will get 25 points. If you will be the first in your group, you&#39;ll get 3 bonus points. 
The test data is a set of strings, one comment per line. You need to return a label for each comment, also one&nbsp;per line.

The baseline solution <a href="https://github.com/huawei-university/nlp-assignment-2">is here</a>.

The task of to classifying toxic comments

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Registration application for Course Season 2021

NLP course. Text classification: toxic comments

Predictions

Mike Puzitsky

Georgy Chernousov

OOC Maria Potapova

Accuracy


1	Mike Puzitsky	0.7423865755	4y	16
2	Georgy Chernousov	0.7392790553	4y	22
3	OOC Maria Potapova	0.4729645743	4y	2