Data
premier_league_with_tda

premier_league_with_tda

active ARFF Public Domain (CC0) Visibility: public Uploaded 14-11-2019 by Matteo Caorsi
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Premier league matches from 2008 to 2014 with TDA features extracted.

20 features

home_best_attacknumeric269 unique values
0 missing
home_best_defensenumeric117 unique values
0 missing
home_avg_attacknumeric1869 unique values
0 missing
home_avg_defensenumeric1379 unique values
0 missing
home_std_attacknumeric2391 unique values
0 missing
home_std_defensenumeric2380 unique values
0 missing
gk_home_player_1numeric33 unique values
0 missing
away_avg_attacknumeric1874 unique values
0 missing
away_avg_defensenumeric1372 unique values
0 missing
away_std_attacknumeric2410 unique values
0 missing
away_std_defensenumeric2401 unique values
0 missing
away_best_attacknumeric277 unique values
0 missing
away_best_defensenumeric117 unique values
0 missing
gk_away_player_1numeric33 unique values
0 missing
bottleneck_metricnumeric2562 unique values
0 missing
wasserstein_metricnumeric2565 unique values
0 missing
landscape_metricnumeric2564 unique values
0 missing
betti_metricnumeric2340 unique values
0 missing
heat_metricnumeric2565 unique values
0 missing
labelnumeric3 unique values
0 missing

62 properties

2565
Number of instances (rows) of the dataset.
20
Number of attributes (columns) of the dataset.
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.
20
Number of numeric attributes.
0
Number of nominal attributes.
Percentage of instances belonging to the least frequent class.
-1.58
First quartile of kurtosis among attributes of the numeric type.
4.78
Third quartile of standard deviation of attributes of the numeric type.
78.12
Maximum standard deviation of attributes of the numeric type.
Number of instances belonging to the least frequent class.
34.74
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
-0.59
Mean kurtosis among attributes of the numeric type.
-0.18
First quartile of skewness among attributes of the numeric type.
59.42
Mean of means among attributes of the numeric type.
3.68
First quartile of standard deviation of attributes of the numeric type.
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
-0.46
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.01
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
-0.03
Mean skewness among attributes of the numeric type.
77.03
Second quartile (Median) of means among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
8.45
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Percentage of instances belonging to the most frequent class.
Minimal entropy among attributes.
0.01
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
-1.99
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
4.06
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
0.17
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
1.23
Maximum kurtosis among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.
0.02
Third quartile of kurtosis among attributes of the numeric type.
93.38
Maximum of means among attributes of the numeric type.
The minimal number of distinct values among attributes of the nominal type.
100
Percentage of numeric attributes.
78.29
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
-0.74
Minimum skewness among attributes of the numeric type.
0
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
The maximum number of distinct values among attributes of the nominal type.
0.84
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0.19
Third quartile of skewness among attributes of the numeric type.
0.31
Maximum skewness among attributes of the numeric type.

1 tasks

0 runs - estimation_procedure: 50 times Clustering
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