Run
577042

Run 577042

Task 37 (Supervised Classification) diabetes Uploaded 02-06-2016 by Jan van Rijn
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Flow

weka.AttributeSelectedClassifier_IterativeClassifierOptimizer_LogitBoost_De cisionStump(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)_Wweka.classifiers.meta.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.

22 Evaluation measures

Area under ROC curve
0.7992
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7402
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4157
Cross-validation details (10-fold Crossvalidation)
KB relative information score
236.1724
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3178
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
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
0.7444
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7513
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7513
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6993
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4155
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8717
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1623.9085
UserCPU time millis
40
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
40
Cross-validation details (10-fold Crossvalidation)