Run
575801

Run 575801

Task 2075 (Supervised Classification) abalone Uploaded 01-06-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_SMO_PolyKernel(1)Weka implementation of AttributeSelectedClassifier
weka.PolyKernel(9)_E1.0
weka.PolyKernel(9)_C250007
weka.AttributeSelectedClassifier_SMO_PolyKernel(1)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_SMO_PolyKernel(1)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_SMO_PolyKernel(1)_Wweka.classifiers.functions.SMO
weka.SMO_PolyKernel(14)_C1.0
weka.SMO_PolyKernel(14)_N0
weka.SMO_PolyKernel(14)_L0.001
weka.SMO_PolyKernel(14)_P1.0E-12
weka.SMO_PolyKernel(14)_V-1
weka.SMO_PolyKernel(14)_W1
weka.SMO_PolyKernel(14)_Kweka.classifiers.functions.supportVector.PolyKernel

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
0.7163
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1884
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1239
Cross-validation details (10-fold Crossvalidation)
KB relative information score
229.5253
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0647
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0618
Cross-validation details (10-fold Crossvalidation)
Number of instances
4177
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
0.1632
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2452
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.6268
Cross-validation details (10-fold Crossvalidation)
Recall
0.2452
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0464
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1757
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1783
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0147
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1333.1627
UserCPU time millis
2170
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
70
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
2100
Cross-validation details (10-fold Crossvalidation)