Run
107544

Run 107544

Task 2354 (Supervised Classification) meta_ensembles.arff Uploaded 09-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_BFTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_BFTree(2)_I40
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_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

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.

21 Evaluation measures

Area under ROC curve
0.668
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.833
Cross-validation details (33% Holdout set)
Build memory
210969736
Cross-validation details (33% Holdout set)
F measure
0.5722
Per class
Cross-validation details (33% Holdout set)
Kappa
0.2638
Cross-validation details (33% Holdout set)
KB relative information score
6.8141
Cross-validation details (33% Holdout set)
Mean absolute error
0.2084
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2983
Cross-validation details (33% Holdout set)
Number of instances
24
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5833
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.5833
Cross-validation details (33% Holdout set)
Prior entropy
1.5899
Cross-validation details (33% Holdout set)
Recall
0.5833
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.6985
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3886
Cross-validation details (33% Holdout set)
Root mean squared error
0.4549
Cross-validation details (33% Holdout set)
Root relative squared error
1.1707
Cross-validation details (33% Holdout set)
SciMark benchmark
939.6177