Data
Smogon-6v6-Pokemon-Tiers

Smogon-6v6-Pokemon-Tiers

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Dustin Carrion
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
This dataset stems from Alberto Barradas' popular Pokemon with stats dataset by listing the tiered Pokemon in Smogon 6v6. Smogon 6v6 is one of the most popular formats for competitive Pokemon. Although it is not the "official" competitive format, there is still a significant number of people who play the format. There are a number of 'tiers' of Pokemon in which people can play, the most popular being OU. This dataset seeks to display both a Pokemon's stats and corresponding tier for easier competitive analysis. In addition to the addition of the 'Tier' variable, there are several other changes I made to the set: Classified Mythical Pokemon as 'Legendary' Changed the naming convention of Mega Evolutions and some form changes Addition of 'Mega' tier to signify Mega Evolutions Note that this dataset includes only Pokemon tiered from PU to AG. NFE and LC Pokemon are not included unless they appear in Smogon's list. List of which Pokemon are in which tier was found here. Thank you to Alberto Barradas for his comprehensive Pokemon dataset.

15 features

X.numeric426 unique values
0 missing
Namestring499 unique values
0 missing
Type.1string18 unique values
0 missing
Type.2string18 unique values
210 missing
Totalnumeric123 unique values
0 missing
HPnumeric76 unique values
0 missing
Attacknumeric88 unique values
0 missing
Defensenumeric84 unique values
0 missing
Sp..Atknumeric85 unique values
0 missing
Sp..Defnumeric74 unique values
0 missing
Speednumeric96 unique values
0 missing
Generationnumeric6 unique values
0 missing
Legendarynominal2 unique values
0 missing
Meganominal2 unique values
0 missing
Tierstring11 unique values
0 missing

19 properties

499
Number of instances (rows) of the dataset.
15
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
210
Number of missing values in the dataset.
210
Number of instances with at least one value missing.
9
Number of numeric attributes.
2
Number of nominal attributes.
13.33
Percentage of binary attributes.
42.08
Percentage of instances having missing values.
2.81
Percentage of missing values.
Average class difference between consecutive instances.
60
Percentage of numeric attributes.
0.03
Number of attributes divided by the number of instances.
13.33
Percentage of nominal attributes.
Percentage of instances belonging to the most frequent class.
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.
2
Number of binary attributes.

0 tasks

Define a new task