Run
2346763

Run 2346763

Task 58 (Supervised Classification) waveform-5000 Uploaded 25-05-2017 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)_C10.0
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
0.9309 ± 0.0067
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8618 ± 0.0136
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.793 ± 0.0205
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2720.8615 ± 4.2593
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2529 ± 0.003
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
5000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.8622 ± 0.014
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.862 ± 0.0137
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5849
Cross-validation details (10-fold Crossvalidation)
Recall
0.862 ± 0.0137
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5691 ± 0.0067
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3237 ± 0.0046
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6867 ± 0.0098
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1556.4963
UserCPU time millis
9600
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
440
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
9160
Cross-validation details (10-fold Crossvalidation)