DEVELOPMENT... OpenML
Run
21627

Run 21627

Task 3 (Supervised Classification) kr-vs-kp Uploaded 19-06-2014 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
0.9971
Per class
F measure
0.9966
Per class
Kappa
0.9931
KB relative information score
3173.3934
Mean absolute error
0.0035
Mean prior absolute error
0.499
Number of instances
3196
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9966
Per class
Predictive accuracy
0.9966
Prior entropy
0.9986
Recall
0.9966
Per class
Relative absolute error
0.0071
Root mean prior squared error
0.4995
Root mean squared error
0.0578
Root relative squared error
0.1158
SciMark benchmark
929.7797[560.6687900287665998.6810179793104474.05817848535891.04013534266231724.4501575906495]