Data
RandomRBF_50_1E-3

RandomRBF_50_1E-3

active ARFF Publicly available Visibility: public Uploaded 10-04-2014 by Jan van Rijn
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11 features

class (target)nominal5 unique values
0 missing
att1numeric690407 unique values
0 missing
att2numeric689470 unique values
0 missing
att3numeric689615 unique values
0 missing
att4numeric689914 unique values
0 missing
att5numeric689942 unique values
0 missing
att6numeric690467 unique values
0 missing
att7numeric689821 unique values
0 missing
att8numeric690142 unique values
0 missing
att9numeric689731 unique values
0 missing
att10numeric689236 unique values
0 missing

62 properties

1000000
Number of instances (rows) of the dataset.
11
Number of attributes (columns) of the dataset.
5
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.
10
Number of numeric attributes.
1
Number of nominal attributes.
Minimal entropy among attributes.
-0
Second quartile (Median) of skewness among attributes of the numeric type.
300096
Number of instances belonging to the most frequent class.
-0.09
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
0.34
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
0.5
Minimum of means among attributes of the numeric type.
0
Percentage of instances having missing values.
Third quartile of entropy among attributes.
-0.05
Maximum kurtosis among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0
Percentage of missing values.
-0.05
Third quartile of kurtosis among attributes of the numeric type.
0.5
Maximum of means among attributes of the numeric type.
5
The minimal number of distinct values among attributes of the nominal type.
90.91
Percentage of numeric attributes.
0.5
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
-0.02
Minimum skewness among attributes of the numeric type.
9.09
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
5
The maximum number of distinct values among attributes of the nominal type.
0.34
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
0
Third quartile of skewness among attributes of the numeric type.
0
Maximum skewness among attributes of the numeric type.
9.27
Percentage of instances belonging to the least frequent class.
-0.08
First quartile of kurtosis among attributes of the numeric type.
0.34
Third quartile of standard deviation of attributes of the numeric type.
0.34
Maximum standard deviation of attributes of the numeric type.
92713
Number of instances belonging to the least frequent class.
0.5
First quartile of means among attributes of the numeric type.
0
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.
-0.06
Mean kurtosis among attributes of the numeric type.
-0.01
First quartile of skewness among attributes of the numeric type.
0.5
Mean of means among attributes of the numeric type.
0.34
First quartile of standard deviation of attributes of the numeric type.
0.23
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
2.22
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.
-0.06
Second quartile (Median) of kurtosis among attributes of the numeric type.
0
Number of attributes divided by the number of instances.
5
Average number of distinct values among the attributes of the nominal type.
-0
Mean skewness among attributes of the numeric type.
0.5
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.
0.34
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
30.01
Percentage of instances belonging to the most frequent class.

16 tasks

16 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 33% Holdout set - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: precision - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - evaluation_measure: predictive_accuracy - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
0 runs - estimation_procedure: 10-fold Learning Curve - target_feature: class
291 runs - estimation_procedure: Interleaved Test then Train - target_feature: class
0 runs - estimation_procedure: 50 times Clustering
0 runs - estimation_procedure: 50 times Clustering
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