Run
6058243

Run 6058243

Task 20 (Supervised Classification) mfeat-pixel Uploaded 31-07-2017 by Miguel Cachada
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Flow

weka.AttributeSelectedClassifier_SMO_PolyKernel(2)Weka implementation of AttributeSelectedClassifier
weka.SMO_PolyKernel(15)_C0.7056931908196484
weka.SMO_PolyKernel(15)_N2
weka.SMO_PolyKernel(15)_L0.001
weka.SMO_PolyKernel(15)_P1.0E-12
weka.SMO_PolyKernel(15)_Mtrue
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)_E3.844205451476613
weka.PolyKernel(11)_Ltrue
weka.PolyKernel(11)_C250007
weka.AttributeSelectedClassifier_SMO_PolyKernel(2)_Eweka.attributeSelection.CfsSubsetEval -M -P 1 -E 1
weka.AttributeSelectedClassifier_SMO_PolyKernel(2)_Sweka.attributeSelection.BestFirst -D 2 -N 4
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
0.9941 ± 0.0031
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.977 ± 0.0058
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9744 ± 0.0065
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1943.3319 ± 1.2128
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0065 ± 0.0011
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
0.9771 ± 0.0057
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.977 ± 0.0059
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.977 ± 0.0059
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0362 ± 0.0064
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0676 ± 0.0084
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2254 ± 0.0281
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1829.6729
UserCPU time millis
27010
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
18730
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
8280
Cross-validation details (10-fold Crossvalidation)