Run
2338526

Run 2338526

Task 22 (Supervised Classification) mfeat-zernike Uploaded 24-05-2017 by Miguel Cachada
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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)_E1.0
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
0.9541 ± 0.0099
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7916 ± 0.0305
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.77 ± 0.0303
Cross-validation details (10-fold Crossvalidation)
KB relative information score
562.9633 ± 0.8985
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1616 ± 0.0004
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
0.7923 ± 0.0308
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.793 ± 0.0273
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.793 ± 0.0273
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8976 ± 0.002
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.275 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9166 ± 0.0022
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1410.2566
UserCPU time millis
190
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
180
Cross-validation details (10-fold Crossvalidation)