Run
2347021

Run 2347021

Task 16 (Supervised Classification) mfeat-karhunen Uploaded 26-05-2017 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_RBFKernel(2)Weka implementation of AttributeSelectedClassifier
weka.SMO_RBFKernel(8)_C10.0
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
0.9891 ± 0.0049
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9621 ± 0.0156
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9578 ± 0.0172
Cross-validation details (10-fold Crossvalidation)
KB relative information score
592.4906 ± 0.3905
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1604 ± 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
0.9628 ± 0.015
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.962 ± 0.0155
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.962 ± 0.0155
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8911 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2727 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9091 ± 0.001
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1468.5719
UserCPU time millis
2700
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
1770
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
930
Cross-validation details (10-fold Crossvalidation)