Gambling-Behavior-Bustabit
OpenML dataset with id 43364
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/22102189/Gambling-Behavior-Bustabit.arff
Upload date: 23 March 2022
Dataset Characteristics
Number of features: 9 (numeric: 7, symbolic: 0 and in total binary: 0 )
Number of instances: 50,000
Number of instances with missing values: 21,266
Number of missing values: 63,798
The similarities and differences in the behaviors of different people have long been of interest, particularly in psychology and other social science fields. Understanding human behavior in particular contexts can help us to make informed decisions. Consider a game of poker - understanding why players raise, call, and fold in various situations can provide a distinct advantage competitively. Along these lines, we are going to focus on the behavior on online gamblers from a platform called Bustabit. There are a few basic rules for playing a game of Bustabit: You bet a certain amount of money (in Bits, which is 1 / 1,000,000th of a Bitcoin) and you win if you cash out before the game busts. Your win is calculated by the multiplier value at the moment you cashed out. For example, if you bet 100 and the value was 2.50x at the time you cashed out, you win 250. In addition, a percentage Bonus per game is multiplied with your bet and summed to give your final Profit in a winning game. Assuming a Bonus of 1, your Profit for this round would be (100 x 2.5) + (100 x .01) - 100 = 151
The multiplier increases as time goes on, but if you wait too long to cash out, you may bust and lose your money.
Lastly, the house maintains slight advantages because in 1 out of every 100 games, everyone playing busts.
This page was built for dataset: Gambling-Behavior-Bustabit
