Run
2338432

Run 2338432

Task 22 (Supervised Classification) mfeat-zernike 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)_C0.5
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
0.9204 ± 0.0145
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6861 ± 0.0334
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6567 ± 0.035
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1407.234 ± 6.1248
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0709 ± 0.0052
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.6831 ± 0.0367
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.691 ± 0.0315
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.691 ± 0.0315
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3938 ± 0.0287
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2045 ± 0.012
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6815 ± 0.04
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1671.6902
UserCPU time millis
150
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
150
Cross-validation details (10-fold Crossvalidation)