DEVELOPMENT... OpenML
Run
147123

Run 147123

Task 3670 (Supervised Classification) fri_c4_500_50 Uploaded 02-02-2015 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_BFTree(2)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_BFTree(2)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_BFTree(2)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1
weka.BestFirst(2)_D1
weka.BestFirst(2)_N5
weka.CfsSubsetEval(2)_E1
weka.CfsSubsetEval(2)_P1

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
0.8478
Per class
F measure
0.8279
Per class
Kappa
0.6546
KB relative information score
314.7518
Mean absolute error
0.1883
Mean prior absolute error
0.4984
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8279
Per class
Predictive accuracy
0.828
Prior entropy
0.9978
Recall
0.828
Per class
Relative absolute error
0.3779
Root mean prior squared error
0.4992
Root mean squared error
0.389
Root relative squared error
0.7792
SciMark benchmark
942.1229
UserCPU time millis
40
UserCPU time millis training
40