Run
2338945

Run 2338945

Task 2079 (Supervised Classification) eucalyptus 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_SMO_PolyKernel(2)Weka implementation of AttributeSelectedClassifier
weka.SMO_PolyKernel(15)_C0.1
weka.SMO_PolyKernel(15)_N0
weka.SMO_PolyKernel(15)_L0.001
weka.SMO_PolyKernel(15)_P1.0E-12
weka.SMO_PolyKernel(15)_V-1
weka.SMO_PolyKernel(15)_W1
weka.SMO_PolyKernel(15)_Kweka.classifiers.functions.supportVector.PolyKernel
weka.SMO_PolyKernel(15)_calibratortrue
weka.PolyKernel(11)_E2.0
weka.PolyKernel(11)_C250007
weka.AttributeSelectedClassifier_SMO_PolyKernel(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_SMO_PolyKernel(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_SMO_PolyKernel(2)_Wweka.classifiers.functions.SMO

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
0.8511 ± 0.0275
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5835 ± 0.0382
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.476 ± 0.0488
Cross-validation details (10-fold Crossvalidation)
KB relative information score
230.2523 ± 1.3599
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2614 ± 0.0034
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3132 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Number of instances
736
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.6074 ± 0.0347
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5992 ± 0.0362
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.5992 ± 0.0362
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8344 ± 0.0111
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3957 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3481 ± 0.0049
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8797 ± 0.0126
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1478.825
UserCPU time millis
370
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
60
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
310
Cross-validation details (10-fold Crossvalidation)