OpenML
25410

Run 25410

Task 59 (Supervised Classification) iris Uploaded 18-08-2014 by Joaquin Vanschoren
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_LogitBoost_Decisio nStump(2)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_LogitBoost_DecisionStump(2)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_LogitBoost_DecisionStump(2)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_LogitBoost_DecisionStump(2)_Wweka.classifiers.meta.LogitBoost
weka.BestFirst(2)_D1
weka.BestFirst(2)_N5
weka.CfsSubsetEval(2)_E1
weka.CfsSubsetEval(2)_P1
weka.LogitBoost_DecisionStump(2)_E1
weka.LogitBoost_DecisionStump(2)_H1.0
weka.LogitBoost_DecisionStump(2)_I10
weka.LogitBoost_DecisionStump(2)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(2)_O1
weka.LogitBoost_DecisionStump(2)_P100
weka.LogitBoost_DecisionStump(2)_S1
weka.LogitBoost_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.LogitBoost_DecisionStump(2)_Z3.0

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.

17 Evaluation measures

Area under ROC curve
0.9857
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9667
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.95
Cross-validation details (10-fold Crossvalidation)
KB relative information score
139.6547
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.037
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9668
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9667
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9667
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0832
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1587
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3367
Cross-validation details (10-fold Crossvalidation)