Run
2338403

Run 2338403

Task 21 (Supervised Classification) car Uploaded 24-05-2017 by Miguel Cachada
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_J48(2)Weka implementation of AttributeSelectedClassifier
weka.J48(38)_C0.25
weka.J48(38)_M10
weka.AttributeSelectedClassifier_J48(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_J48(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_J48(2)_Wweka.classifiers.trees.J48

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
0.9704 ± 0.007
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8639 ± 0.0156
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7184 ± 0.0349
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1216.0332 ± 5.1113
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.078 ± 0.0064
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.8647 ± 0.0137
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8692 ± 0.0175
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.8692 ± 0.0175
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3405 ± 0.0279
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2054 ± 0.0111
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6075 ± 0.0325
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1442.5263
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)