DEVELOPMENT... OpenML
Run
16463

Run 16463

Task 22 (Supervised Classification) mfeat-zernike Uploaded 04-06-2014 by Felicia West
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_HoeffdingTree(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_HoeffdingTree(1)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_HoeffdingTree(1)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_HoeffdingTree(1)_Wweka.classifiers.trees.HoeffdingTree
weka.BestFirst(1)_D1
weka.BestFirst(1)_N5
weka.CfsSubsetEval(1)_E1
weka.CfsSubsetEval(1)_P1
weka.HoeffdingTree(1)_E1.0E-7
weka.HoeffdingTree(1)_G200.0
weka.HoeffdingTree(1)_H0.05
weka.HoeffdingTree(1)_L2
weka.HoeffdingTree(1)_M0.01
weka.HoeffdingTree(1)_N0.0
weka.HoeffdingTree(1)_S1

Result files

xml
Description

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

arff
Predictions

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

19 Evaluation measures

Area under ROC curve
0.9604
Per class
F measure
0.7414
Per class
Kappa
0.7144
KB relative information score
1545.0517
Mean absolute error
0.0526
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7413
Per class
Predictive accuracy
0.743
Prior entropy
3.3219
Recall
0.743
Per class
Relative absolute error
0.2924
Root mean prior squared error
0.3
Root mean squared error
0.1949
Root relative squared error
0.6498
SciMark benchmark
931.9982[494.679701837118561009.6699252256896483.8854846559526911.17140496421141760.5845701777503]