Run
210959

Run 210959

Task 3767 (Supervised Classification) fri_c0_1000_50 Uploaded 28-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.8658
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.835
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.67
Cross-validation details (10-fold Crossvalidation)
KB relative information score
642.9013
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1828
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4998
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8351
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.835
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9997
Cross-validation details (10-fold Crossvalidation)
Recall
0.835
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3657
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4999
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3769
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.754
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
901.1296
UserCPU time millis
30
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
30
Cross-validation details (10-fold Crossvalidation)