Run
575830

Run 575830

Task 53 (Supervised Classification) vehicle Uploaded 01-06-2016 by Jan van Rijn
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Flow

weka.AttributeSelectedClassifier_SMO_RBFKernel(1)Weka implementation of AttributeSelectedClassifier
weka.RBFKernel(4)_G0.01
weka.RBFKernel(4)_C250007
weka.AttributeSelectedClassifier_SMO_RBFKernel(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_SMO_RBFKernel(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_SMO_RBFKernel(1)_Wweka.classifiers.functions.SMO
weka.SMO_RBFKernel(6)_C1.0
weka.SMO_RBFKernel(6)_N0
weka.SMO_RBFKernel(6)_L0.001
weka.SMO_RBFKernel(6)_P1.0E-12
weka.SMO_RBFKernel(6)_V-1
weka.SMO_RBFKernel(6)_W1
weka.SMO_RBFKernel(6)_Kweka.classifiers.functions.supportVector.RBFKernel

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
0.6357
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2959
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1447
Cross-validation details (10-fold Crossvalidation)
KB relative information score
168.292
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3414
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.3782
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.357
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.357
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9108
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4339
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0023
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1413.6485
UserCPU time millis
960
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
260
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
700
Cross-validation details (10-fold Crossvalidation)