Run
579800

Run 579800

Task 2076 (Supervised Classification) kropt 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
0.813
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5042
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4464
Cross-validation details (10-fold Crossvalidation)
KB relative information score
14562.7941
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0609
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0995
Cross-validation details (10-fold Crossvalidation)
Number of instances
28056
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
0.5049
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.505
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.5053
Cross-validation details (10-fold Crossvalidation)
Recall
0.505
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6114
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2231
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2027
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9086
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1386.5662
UserCPU time millis
250
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
80
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
170
Cross-validation details (10-fold Crossvalidation)