Run
108000

Run 108000

Task 285 (Supervised Classification) vote 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)_I80
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
0.9826
Per class
Cross-validation details (33% Holdout set)
Build CPU time
3.402
Cross-validation details (33% Holdout set)
Build memory
174513048
Cross-validation details (33% Holdout set)
F measure
0.9582
Per class
Cross-validation details (33% Holdout set)
Kappa
0.912
Cross-validation details (33% Holdout set)
KB relative information score
129.0851
Cross-validation details (33% Holdout set)
Mean absolute error
0.0451
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4739
Cross-validation details (33% Holdout set)
Number of instances
143
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
0.9587
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.958
Cross-validation details (33% Holdout set)
Prior entropy
0.9627
Cross-validation details (33% Holdout set)
Recall
0.958
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.0951
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4865
Cross-validation details (33% Holdout set)
Root mean squared error
0.2057
Cross-validation details (33% Holdout set)
Root relative squared error
0.4228
Cross-validation details (33% Holdout set)
SciMark benchmark
919.1717
Total cost