Kaggle Bot Account Detection

The data in question was generated using the Faker library and is not authentic real-world data. In recent years, there have been numerous reports suggesting the presence of bot voting practices that have resulted in manipulated outcomes within data science competitions. As a result of this, the idea for creating a simulated dataset arose. Although this is the first time that this dataset has been created, it is open to feedback and constructive criticism in order to improve its overall quality and significance.

NAME: The name of the individual.
GENDER: The gender of the individual, either male or female.
EMAIL_ID: The email address of the individual.
IS_GLOGIN: A boolean indicating whether the individual used Google login to register or not.
FOLLOWER_COUNT: The number of followers the individual has.
FOLLOWING_COUNT: The number of individuals the individual is following.
DATASET_COUNT: The number of datasets the individual has created.
CODE_COUNT: The number of notebooks the individual has created.
DISCUSSION_COUNT: The number of discussions the individual has participated in.
AVG_NB_READ_TIME_MIN: The average time spent reading notebooks in minutes.
REGISTRATION_IPV4: The IP address used to register.
REGISTRATION_LOCATION: The location from where the individual registered.
TOTAL_VOTES_GAVE_NB: The total number of votes the individual has given to notebooks.
TOTAL_VOTES_GAVE_DS: The total number of votes the individual has given to datasets.
TOTAL_VOTES_GAVE_DC: The total number of votes the individual has given to discussion comments.
ISBOT: A boolean indicating whether the individual is a bot or not.