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

Public

Private

Sandbox

User Agreement

I accept <a href="https://storage.yandexcloud.net/datasouls-ods/CourseFest_1/Docs/UserAgreement.pdf" rel="noopener noreferrer" target="_blank">Terms of User Agreement and Privacy Policy</a>

Privacy Policy

I give my <a href="https://storage.yandexcloud.net/datasouls-ods/CourseFest_1/Docs/Consent.pdf" rel="noopener noreferrer" target="_blank">consent</a> to &laquo;Sorevnovaniya Analiza Dannykh&raquo; LLC to process and transfer my personal data to the partners of the event for information interaction

Consent

I <a href="https://storage.yandexcloud.net/datasouls-ods/CourseFest_1/Docs/Email.pdf" rel="noopener noreferrer" target="_blank">agree</a> to receive newsletters from &laquo;Sorevnovaniya Analiza Dannykh&raquo; LLC

I am Interested in receiving job offers

first_name

First name

last_name

Last name

country

Country (lat)

city

City (lat)

email

Email

slack_name

Your ODS Slack nickname

study_place

Study place

study_specialty

Study specialty

work_place

Work place

work_position

Work position

expectations

Expectations

interests

Interests

preferred_language

Preferred language

about

About

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	3y	16
2	Georgy Chernousov	0.7392790553	3y	22
3	OOC Maria Potapova	0.4729645743	3y	2