Run
565838

Run 565838

Task 3870 (Supervised Classification) bridges Uploaded 20-04-2016 by Jan van Rijn
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Flow

weka.AttributeSelectedClassifier_GainRatioAttributeEval_Ranker_SMO(1)Weka implementation of AttributeSelectedClassifier
weka.Ranker(3)_T-1.7976931348623157E308
weka.Ranker(3)_N-1
weka.SMO(1)_C1.0
weka.SMO(1)_N0
weka.SMO(1)_L0.001
weka.SMO(1)_P1.0E-12
weka.SMO(1)_V-1
weka.SMO(1)_W1
weka.SMO(1)_Kweka.classifiers.functions.supportVector.PolyKernel -E 1.0 -C 250007
weka.AttributeSelectedClassifier_GainRatioAttributeEval_Ranker_SMO(1)_Sweka.attributeSelection.Ranker
weka.AttributeSelectedClassifier_GainRatioAttributeEval_Ranker_SMO(1)_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
0.8115
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8214
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6295
Cross-validation details (10-fold Crossvalidation)
KB relative information score
67.1886
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1776
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4845
Cross-validation details (10-fold Crossvalidation)
Number of instances
107
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_77, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.8216
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8224
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.978
Cross-validation details (10-fold Crossvalidation)
Recall
0.8224
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3665
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4921
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4214
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8564
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1392.8616
UserCPU time millis
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10-fold Crossvalidation)