Run
576224

Run 576224

Task 53 (Supervised Classification) vehicle 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
0.8802
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6631
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5619
Cross-validation details (10-fold Crossvalidation)
KB relative information score
504.4877
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1744
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
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
0.6567
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6714
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.6714
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4652
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3444
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7955
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1515.9421
UserCPU time millis
110
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
110
Cross-validation details (10-fold Crossvalidation)