Run
2341447

Run 2341447

Task 20 (Supervised Classification) mfeat-pixel Uploaded 24-05-2017 by Miguel Cachada
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Flow

weka.AttributeSelectedClassifier_SMO_RBFKernel(2)Weka implementation of AttributeSelectedClassifier
weka.SMO_RBFKernel(8)_C0.1
weka.SMO_RBFKernel(8)_N0
weka.SMO_RBFKernel(8)_L0.001
weka.SMO_RBFKernel(8)_P1.0E-12
weka.SMO_RBFKernel(8)_V-1
weka.SMO_RBFKernel(8)_W1
weka.SMO_RBFKernel(8)_Kweka.classifiers.functions.supportVector.RBFKernel
weka.SMO_RBFKernel(8)_calibratortrue
weka.RBFKernel(5)_G0.01
weka.RBFKernel(5)_C250007
weka.AttributeSelectedClassifier_SMO_RBFKernel(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_SMO_RBFKernel(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_SMO_RBFKernel(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
0.9862 ± 0.0049
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9416 ± 0.0111
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.935 ± 0.0123
Cross-validation details (10-fold Crossvalidation)
KB relative information score
589.953 ± 0.4141
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1605 ± 0.0002
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
0.9419 ± 0.0113
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9415 ± 0.0111
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.9415 ± 0.0111
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8917 ± 0.001
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2731 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9102 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1439.9903
UserCPU time millis
51840
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
45320
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
6520
Cross-validation details (10-fold Crossvalidation)