Run
579791

Run 579791

Task 53 (Supervised Classification) vehicle Uploaded 06-06-2016 by Jan van Rijn
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Flow

weka.AttributeSelectedClassifier_MultiBoostAB_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_MultiBoostAB_RandomTree(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_MultiBoostAB_RandomTree(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_MultiBoostAB_RandomTree(1)_Wweka.classifiers.meta.MultiBoostAB
weka.MultiBoostAB_RandomTree(3)_C3
weka.MultiBoostAB_RandomTree(3)_P100
weka.MultiBoostAB_RandomTree(3)_S1
weka.MultiBoostAB_RandomTree(3)_I10
weka.MultiBoostAB_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
0.7811
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6746
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5631
Cross-validation details (10-fold Crossvalidation)
KB relative information score
511.8538
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1637
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
0.6773
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6726
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.6726
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4368
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4046
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9346
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1373.408
UserCPU time millis
30
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
30
Cross-validation details (10-fold Crossvalidation)