Run
2771806

Run 2771806

Task 2 (Supervised Classification) anneal Uploaded 26-06-2017 by Miguel Cachada
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.FilteredClassifier_AttributeSelectedClassifier_SMO_PolyKernel(1)Weka implementation of FilteredClassifier
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)_E1.0
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
weka.FilteredClassifier_AttributeSelectedClassifier_SMO_PolyKernel(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_SMO_PolyKernel(1)_Wweka.classifiers.meta.AttributeSelectedClassifier

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
0.6864 ± 0.0361
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7547 ± 0.0325
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3692 ± 0.0893
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-494.2098 ± 2.0872
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2268 ± 0.001
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.7314 ± 0.0597
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8107 ± 0.0262
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.8107 ± 0.0262
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.6887 ± 0.0162
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582 ± 0.0024
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3173 ± 0.0016
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2288 ± 0.0124
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1568.4956
UserCPU time millis
210
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
210
Cross-validation details (10-fold Crossvalidation)