Run
106452

Run 106452

Task 3054 (Supervised Classification) monks-problems-2 Uploaded 09-12-2014 by Joaquin Vanschoren
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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)_I10
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
0.8636
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.781
Cross-validation details (33% Holdout set)
Build memory
1147336480
Cross-validation details (33% Holdout set)
F measure
0.7825
Per class
Cross-validation details (33% Holdout set)
Kappa
0.5321
Cross-validation details (33% Holdout set)
KB relative information score
99.6096
Cross-validation details (33% Holdout set)
Mean absolute error
0.227
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4588
Cross-validation details (33% Holdout set)
Number of instances
198
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
0.7822
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7828
Cross-validation details (33% Holdout set)
Prior entropy
0.9279
Cross-validation details (33% Holdout set)
Recall
0.7828
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.4947
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4831
Cross-validation details (33% Holdout set)
Root mean squared error
0.4434
Cross-validation details (33% Holdout set)
Root relative squared error
0.9177
Cross-validation details (33% Holdout set)
SciMark benchmark
943.521