OpenML
579691

Run 579691

Task 22 (Supervised Classification) mfeat-zernike Uploaded 06-06-2016 by Jan van Rijn
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Flow

weka.AttributeSelectedClassifier_MultiBoostAB_OneR(1)Weka implementation of AttributeSelectedClassifier
weka.OneR(18)_B6
weka.AttributeSelectedClassifier_MultiBoostAB_OneR(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_MultiBoostAB_OneR(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_MultiBoostAB_OneR(1)_Wweka.classifiers.meta.MultiBoostAB
weka.MultiBoostAB_OneR(3)_C3
weka.MultiBoostAB_OneR(3)_P100
weka.MultiBoostAB_OneR(3)_S1
weka.MultiBoostAB_OneR(3)_I10
weka.MultiBoostAB_OneR(3)_Wweka.classifiers.rules.OneR

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.58
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2436
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.16
Cross-validation details (10-fold Crossvalidation)
KB relative information score
418.8147
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1512
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.2465
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.244
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.244
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.84
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3888
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2961
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1405.6444
UserCPU time millis
140
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
130
Cross-validation details (10-fold Crossvalidation)