Data
odds

odds

active ARFF Publicly available Visibility: public Uploaded 07-10-2024 by Sriram Bhamidipati
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odds wins losses

9 features

result (target)string3 unique values
25 missing
odds in favornumeric67 unique values
0 missing
odds againstnumeric223 unique values
2 missing
Unnamed: 3string6 unique values
291 missing
Unnamed: 4string4 unique values
293 missing
Unnamed: 5string4 unique values
293 missing
Unnamed: 6string2 unique values
295 missing
Unnamed: 7string2 unique values
295 missing
Unnamed: 8string1 unique values
296 missing
Show all 9 features

19 properties

NumberOfInstances
297
Number of instances (rows) of the dataset.
NumberOfFeatures
9
Number of attributes (columns) of the dataset.
NumberOfClasses
4
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
1790
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
296
Number of instances with at least one value missing.
NumberOfNumericFeatures
2
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
PercentageOfInstancesWithMissingValues
99.66
Percentage of instances having missing values.
AutoCorrelation
1
Average class difference between consecutive instances.
PercentageOfMissingValues
66.97
Percentage of missing values.
Dimensionality
0.03
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
22.22
Percentage of numeric attributes.
MajorityClassPercentage
63.64
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassSize
189
Number of instances belonging to the most frequent class.
MinorityClassPercentage
0.67
Percentage of instances belonging to the least frequent class.
MinorityClassSize
2
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
Show all 19 properties

1 tasks

Supervised Classification on odds
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: result
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