Run
579672

Run 579672

Task 53 (Supervised Classification) vehicle Uploaded 06-06-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_MultiBoostAB_JRip(1)Weka implementation of AttributeSelectedClassifier
weka.JRip(5)_F3
weka.JRip(5)_N2.0
weka.JRip(5)_O2
weka.JRip(5)_S1
weka.AttributeSelectedClassifier_MultiBoostAB_JRip(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_MultiBoostAB_JRip(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_MultiBoostAB_JRip(1)_Wweka.classifiers.meta.MultiBoostAB
weka.MultiBoostAB_JRip(3)_C3
weka.MultiBoostAB_JRip(3)_P100
weka.MultiBoostAB_JRip(3)_S1
weka.MultiBoostAB_JRip(3)_I10
weka.MultiBoostAB_JRip(3)_Wweka.classifiers.rules.JRip

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
0.8927
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6744
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5841
Cross-validation details (10-fold Crossvalidation)
KB relative information score
531.9085
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1574
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
0.6664
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6879
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.6879
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4198
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.356
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8224
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1330.9539
UserCPU time millis
730
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
720
Cross-validation details (10-fold Crossvalidation)