Run
2338789

Run 2338789

Task 21 (Supervised Classification) car Uploaded 24-05-2017 by Miguel Cachada
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Flow

weka.AttributeSelectedClassifier_SMO_PolyKernel(2)Weka implementation of AttributeSelectedClassifier
weka.SMO_PolyKernel(15)_C0.1
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
0.9914 ± 0.0073
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9873 ± 0.0099
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9722 ± 0.0218
Cross-validation details (10-fold Crossvalidation)
KB relative information score
32.7506 ± 1.1182
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2514 ± 0.0009
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.9875 ± 0.0094
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9873 ± 0.0101
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.9873 ± 0.0101
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0977 ± 0.0037
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3135 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9273 ± 0.0041
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1403.4136
UserCPU time millis
400
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
80
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
320
Cross-validation details (10-fold Crossvalidation)