Data
Candy-crush

Candy-crush

active ARFF GPL 2 Visibility: public Uploaded 23-03-2022 by Elif Ceren Gok
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  • Computer Systems Machine Learning
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Context Candy Crush Saga is a hit mobile game developed by King (part of ActivisionBlizzard) that is played by millions of people all around the world. The game is structured as a series of levels where players need to match similar candy together to (hopefully) clear the level and keep progressing on the level map. If you are one of the few that haven't played Candy Crush Content Candy Crush has more than 3000 levels, and new ones are added every week. That is a lot of levels! And with that many levels, it's important to get level difficulty just right. Too easy and the game gets boring, too hard and players become frustrated and quit playing. Acknowledgements DataCamp

5 features

level (target)numeric15 unique values
0 missing
player_idstring6814 unique values
0 missing
dtstring7 unique values
0 missing
num_attemptsnumeric86 unique values
0 missing
num_successnumeric17 unique values
0 missing

19 properties

16865
Number of instances (rows) of the dataset.
5
Number of attributes (columns) of the dataset.
0
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
3
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
60
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
-3.87
Average class difference between consecutive instances.
0
Percentage of missing values.

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