# data[].attributes.body
One of the greatest applications of machine learning is to classify individuals based on their personality traits. Each person on this planet is unique and carries a unique personality. The availability of a high-dimensional and large amount of data has paved the way for increasing marketing campaigns' effectiveness by targeting specific people. Such personality-based communications are highly effective in increasing the popularity and attractiveness of products and services. It increased usage, customer satisfaction, and broader acceptance among users.

# data[].attributes.body
https://www.kaggle.com/datasets/datasnaek/mbti-type

# data[].attributes.attachment_link.title
(MBTI) Myers-Briggs Personality Type Dataset

# data[].attributes.attachment_link.description
Includes a large number of people's MBTI type and content written by them

# data[].attributes.body
https://colab.research.google.com/drive/121iRLZL8dUtg-tX26hQKBI8DzsomE-w4?usp=sharing

# data[].attributes.body
For our dataset the accuracy is : 0.34

# data[].attributes.body
For our dataset the accuracy is: 0.36

# data[].attributes.body
For our dataset the accuracy is: 0.58

# data[].attributes.body
oversampling
undersampling

# data[].attributes.body
Oversampling — Duplicating samples from the minority class

Undersampling — Deleting samples from the majority class.