Run
211271

Run 211271

Task 4282 (Supervised Classification) visualizing_livestock Uploaded 28-02-2015 by Joaquin Vanschoren
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(3)Weka implementation of AttributeSelectedClassifier
weka.J48(28)_C0.25
weka.J48(28)_M2
weka.BestFirst(3)_D1
weka.BestFirst(3)_N5
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(3)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(3)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(3)_Wweka.classifiers.trees.J48
weka.CfsSubsetEval(4)_P1
weka.CfsSubsetEval(4)_E1

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
0.6723
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.3963
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.2712
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
392.9699
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2523
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.32
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1300
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.3968
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.4169
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
2.3219
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.4169
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.7885
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3849
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9621
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
939.5205
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)