Run
2341368

Run 2341368

Task 15 (Supervised Classification) breast-w Uploaded 24-05-2017 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)_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
0.6743 ± 0.0271
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7376 ± 0.0295
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4122 ± 0.0591
Cross-validation details (10-fold Crossvalidation)
KB relative information score
336.4182 ± 3.1295
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2246 ± 0.0204
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4519 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Number of instances
699
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.8327 ± 0.011
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7754 ± 0.0204
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9297
Cross-validation details (10-fold Crossvalidation)
Recall
0.7754 ± 0.0204
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.497 ± 0.0441
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4753 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4739 ± 0.0213
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9971 ± 0.043
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1431.2378
UserCPU time millis
270
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
60
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
210
Cross-validation details (10-fold Crossvalidation)