Run
1759288

Run 1759288

Task 3968 (Supervised Classification) OVA_Kidney Uploaded 24-07-2016 by Jan van Rijn
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Flow

weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)Weka implementation of IterativeClassifierOptimizer
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_L50
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_P1
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_E1
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_I1
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_F10
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_R1
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_Wweka.classifiers.meta.LogitBoost
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_metricRMSE
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(2)_S1
weka.LogitBoost_DecisionStump(7)_P100
weka.LogitBoost_DecisionStump(7)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(7)_H1.0
weka.LogitBoost_DecisionStump(7)_Z3.0
weka.LogitBoost_DecisionStump(7)_O1
weka.LogitBoost_DecisionStump(7)_E1
weka.LogitBoost_DecisionStump(7)_S1
weka.LogitBoost_DecisionStump(7)_I10
weka.LogitBoost_DecisionStump(7)_Wweka.classifiers.trees.DecisionStump

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
0.987
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9798
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9275
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1356.4431
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0319
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2802
Cross-validation details (10-fold Crossvalidation)
Number of instances
1545
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9798
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9799
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6548
Cross-validation details (10-fold Crossvalidation)
Recall
0.9799
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.114
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3741
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1292
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3453
Cross-validation details (10-fold Crossvalidation)
Total cost