Data
Premier_League_odds_and_prob

Premier_League_odds_and_prob

active ARFF Public Domain (CC0) Visibility: public Uploaded 15-11-2019 by Matteo Caorsi
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This dataset contains, for each Premier League matches 2014-2015, the probabilities generated with the L2F models, as well as matches odds.

11 features

home_team_api_idnumeric20 unique values
0 missing
away_team_api_idnumeric20 unique values
0 missing
away_team_probnumeric323 unique values
0 missing
draw_probnumeric323 unique values
0 missing
home_team_probnumeric323 unique values
0 missing
indexnumeric323 unique values
0 missing
home_team_goalnumeric7 unique values
0 missing
away_team_goalnumeric7 unique values
0 missing
B365Hnumeric75 unique values
0 missing
B365Dnumeric26 unique values
0 missing
B365Anumeric74 unique values
0 missing

62 properties

323
Number of instances (rows) of the dataset.
11
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.
11
Number of numeric attributes.
0
Number of nominal attributes.
154.33
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.
0.73
Second quartile (Median) of skewness among attributes of the numeric type.
Number of instances belonging to the most frequent class.
-1.69
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
1.22
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
0.27
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
4.37
Maximum kurtosis among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.
3.85
Third quartile of kurtosis among attributes of the numeric type.
9151.88
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.
3845
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
-0.06
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.
0.07
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
1.9
Third quartile of skewness among attributes of the numeric type.
2.11
Maximum skewness among attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-1.2
First quartile of kurtosis among attributes of the numeric type.
93.39
Third quartile of standard deviation of attributes of the numeric type.
799.76
Maximum standard deviation of attributes of the numeric type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
0.45
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
0.86
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
2013.73
Mean of means among attributes of the numeric type.
0.33
First quartile of skewness among attributes of the numeric type.
Average mutual information between the nominal attributes and the target attribute.
0.15
First quartile of standard deviation of attributes of the numeric type.
Average class difference between consecutive instances.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Second quartile (Median) of entropy among attributes.
Entropy of the target attribute values.
Average number of distinct values among the attributes of the nominal type.
-0.08
Second quartile (Median) of kurtosis among attributes of the numeric type.
0.03
Number of attributes divided by the number of instances.
0.88
Mean skewness among attributes of the numeric type.
2.72
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 tasks

0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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