DEVELOPMENT... OpenML
Run
15255

Run 15255

Task 59 (Supervised Classification) iris Uploaded 03-06-2014 by Felicia West
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_LogitBoost_Decisio nStump(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_LogitBoost_DecisionStump(1)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_LogitBoost_DecisionStump(1)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_LogitBoost_DecisionStump(1)_Wweka.classifiers.meta.LogitBoost
weka.BestFirst(1)_D1
weka.BestFirst(1)_N5
weka.CfsSubsetEval(1)_E1
weka.CfsSubsetEval(1)_P1
weka.LogitBoost_DecisionStump(1)_F0
weka.LogitBoost_DecisionStump(1)_H1.0
weka.LogitBoost_DecisionStump(1)_I10
weka.LogitBoost_DecisionStump(1)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(1)_P100
weka.LogitBoost_DecisionStump(1)_R1
weka.LogitBoost_DecisionStump(1)_S1
weka.LogitBoost_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

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
0.9857
Per class
F measure
0.9667
Per class
Kappa
0.95
KB relative information score
139.6547
Mean absolute error
0.037
Mean prior absolute error
0.4444
Number of instances
150
Per class
OS information
[Oracle Corporation, 1.7.0_04, x86_64, Mac OS X, 10.9.3]
Precision
0.9668
Per class
Predictive accuracy
0.9667
Prior entropy
1.585
Recall
0.9667
Per class
Relative absolute error
0.0832
Root mean prior squared error
0.4714
Root mean squared error
0.1587
Root relative squared error
0.3367
SciMark benchmark
1435.1274[1009.39856197090491232.8566255344197670.46006929852041343.9835860647672918.938098884368]