Run
576166

Run 576166

Task 29 (Supervised Classification) credit-approval Uploaded 01-06-2016 by Jan van Rijn
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weka.AttributeSelectedClassifier_AdaBoostM1_RandomTree(1)Weka implementation of AttributeSelectedClassifier
weka.RandomTree(11)_K0
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V0.001
weka.RandomTree(11)_S1
weka.AttributeSelectedClassifier_AdaBoostM1_RandomTree(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_AdaBoostM1_RandomTree(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_AdaBoostM1_RandomTree(1)_Wweka.classifiers.meta.AdaBoostM1
weka.AdaBoostM1_RandomTree(3)_P100
weka.AdaBoostM1_RandomTree(3)_S1
weka.AdaBoostM1_RandomTree(3)_I10
weka.AdaBoostM1_RandomTree(3)_Wweka.classifiers.trees.RandomTree

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
0.868
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8163
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6289
Cross-validation details (10-fold Crossvalidation)
KB relative information score
423.1977
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.191
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
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
0.8172
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8159
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8159
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3867
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4155
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.836
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1572.7676
UserCPU time millis
50
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
40
Cross-validation details (10-fold Crossvalidation)