Run
576192

Run 576192

Task 2 (Supervised Classification) anneal Uploaded 01-06-2016 by Jan van Rijn
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Flow

weka.AttributeSelectedClassifier_AdaBoostM1_REPTree(1)Weka implementation of AttributeSelectedClassifier
weka.REPTree(15)_M2
weka.REPTree(15)_V0.001
weka.REPTree(15)_N3
weka.REPTree(15)_S1
weka.REPTree(15)_L-1
weka.REPTree(15)_I0.0
weka.AttributeSelectedClassifier_AdaBoostM1_REPTree(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_AdaBoostM1_REPTree(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_AdaBoostM1_REPTree(1)_Wweka.classifiers.meta.AdaBoostM1
weka.AdaBoostM1_REPTree(11)_P100
weka.AdaBoostM1_REPTree(11)_S1
weka.AdaBoostM1_REPTree(11)_I10
weka.AdaBoostM1_REPTree(11)_Wweka.classifiers.trees.REPTree

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
0.9707
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9043
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7592
Cross-validation details (10-fold Crossvalidation)
KB relative information score
673.7561
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0347
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
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
0.9041
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9053
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.9053
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2586
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1494
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5785
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1391.0664
UserCPU time millis
60
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
60
Cross-validation details (10-fold Crossvalidation)