Data
pwLinear

pwLinear

active ARFF Publicly available Visibility: public Uploaded 23-04-2014 by Jan van Rijn
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  • OpenML-Reg19 synthetic study_239
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Author: Source: Unknown - Please cite: As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning with encoding length selection. In Progress in Connectionist-Based Information Systems. Singapore: Springer-Verlag.

11 features

class (target)numeric189 unique values
0 missing
a1numeric2 unique values
0 missing
a2numeric3 unique values
0 missing
a3numeric3 unique values
0 missing
a4numeric3 unique values
0 missing
a5numeric3 unique values
0 missing
a6numeric3 unique values
0 missing
a7numeric3 unique values
0 missing
a8numeric3 unique values
0 missing
a9numeric3 unique values
0 missing
a10numeric3 unique values
0 missing
Show all 11 features

19 properties

NumberOfInstances
200
Number of instances (rows) of the dataset.
NumberOfFeatures
11
Number of attributes (columns) of the dataset.
NumberOfClasses
0
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
11
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MinorityClassSize
Number of instances belonging to the least frequent class.
NumberOfBinaryFeatures
0
Number of binary attributes.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfMissingValues
0
Percentage of missing values.
AutoCorrelation
-4.44
Average class difference between consecutive instances.
PercentageOfNumericFeatures
100
Percentage of numeric attributes.
Dimensionality
0.06
Number of attributes divided by the number of instances.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
MajorityClassSize
Number of instances belonging to the most frequent class.
Show all 19 properties

18 tasks

Supervised Regression on pwLinear
2 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: class
Supervised Regression on pwLinear
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: class
Supervised Regression on pwLinear
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Regression on pwLinear
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Regression on pwLinear
0 runs - estimation_procedure: Test on Training Data - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Regression on pwLinear
0 runs - estimation_procedure: 5 times 2-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Supervised Regression on pwLinear
0 runs - estimation_procedure: Custom 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: class
Clustering on pwLinear
0 runs - estimation_procedure: 50 times Clustering
Clustering on pwLinear
0 runs
Clustering on pwLinear
0 runs - estimation_procedure: 50 times Clustering
Clustering on pwLinear
0 runs - estimation_procedure: 50 times Clustering
Clustering on pwLinear
0 runs - estimation_procedure: 50 times Clustering
Clustering on pwLinear
0 runs - estimation_procedure: 50 times Clustering
Clustering on pwLinear
0 runs - estimation_procedure: 50 times Clustering
Clustering on pwLinear
0 runs - estimation_procedure: 50 times Clustering
Clustering on pwLinear
0 runs - estimation_procedure: 50 times Clustering
Clustering on pwLinear
0 runs - estimation_procedure: 50 times Clustering
Clustering on pwLinear
0 runs - estimation_procedure: 50 times Clustering
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