DEVELOPMENT... OpenML
Run
20612

Run 20612

Task 2 (Supervised Classification) anneal Uploaded 18-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_BFTree(1)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(1)_I40
weka.AdaBoostM1_BFTree(1)_P100
weka.AdaBoostM1_BFTree(1)_S1
weka.AdaBoostM1_BFTree(1)_Wweka.classifiers.trees.BFTree
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9796
Per class
F measure
0.9397
Per class
Kappa
0.8488
KB relative information score
748.477
Mean absolute error
0.0198
Mean prior absolute error
0.1343
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9397
Per class
Predictive accuracy
0.9399
Prior entropy
1.2149
Recall
0.9399
Per class
Relative absolute error
0.1475
Root mean prior squared error
0.2582
Root mean squared error
0.1326
Root relative squared error
0.5136
SciMark benchmark
932.8125[567.0483270677064999.9766280356525468.8829003871018888.32260997168151739.832252158097]