Welcome to MBTI Personality Classification AI Challenge!

The aim of this challenge is to design a model to predict the Myers-Briggs Personality Type (MBTI) based on the given post data.

The Myers Briggs Type Indicator (or MBTI for short) is a personality type system that divides everyone into 16 distinct personality types across 4 axis:

• Introversion (I) – Extroversion (E)
• Intuition (N) – Sensing (S)
• Thinking (T) – Feeling (F)
• Judging (J) – Perceiving (P)

Leading to total 16 classes.

The dataset consists of 3 files:

• TRAIN.csv (training data)
• TEST.csv (test data for prediction)
• sample_submission.csv (sample submission format)

The "TRAIN.csv" consists of the following attributes:

• idx
• type (Target attribute)
• posts

The "TEST.csv" consists of the data to be predicted and has the following attributes:

• idx
• posts

For final submission format, please refer to "Submission Guidelines".

The final submission must include:

output.csv (single file having results for "TEST.csv").

The first row should correspond to the column names "idx" and "type".

Sample Output:

...

How to make a submission?

1. Click on "My Submission"
2. On the next page, click on "+ New Submission"
3. Upload your CSV in the next page and click on "Submit for Review"

Please note:

1. You must submit your CSV file by uploading the CSV in the "My Submissions" section of this challenge.
2. Your submission will be auto graded and you will be able to see your results instantly.
3. If there is any error in the submission, your final score will be marked as 0 or a warning prompt of “Invalid Score” will be displayed.

Judgement

1. F1 Accuracy Score
2. If the scores are tied, the person reaching the score FIRST will get the better rank.

Rules

1. We are using automatic anti-cheat system. Our system flags submission which have low trust scores. Manually modifying your submission CSV (via comparison of any form etc.), using image comparison techniques (pixel matching, file size matching etc,), in any form, can lead to your disqualification without any notice.
2. The participants must use only the provided dataset for training.
3. The submission should be in a proper format as described by "Submission Guidelines".
4. Late submission will not be accepted beyond provided deadline (Indian Standard Time).

NOTE: We may request for the code files if there is any discrepancy in your score. Your score will be marked invalid or you can be disqualified if the request for code is not fulfilled by you.

1. The winner will receive a cash prize of 5000 INR.
2. The participants with a successful submission will get a certificate of participation.
3. Top 3 participants will receive a permanent place in Dockship's "Hall of Fame".