DEVELOPMENT... OpenML
Run
24813

Run 24813

Task 11 (Supervised Classification) balance-scale Uploaded 18-07-2014 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)_I80
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
0.8492
Per class
F measure
0.7762
Per class
Kappa
0.5805
KB relative information score
321.3261
Mean absolute error
0.1663
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8021
Per class
Predictive accuracy
0.752
Prior entropy
1.3212
Recall
0.752
Per class
Relative absolute error
0.4378
Root mean prior squared error
0.4356
Root mean squared error
0.403
Root relative squared error
0.9253
SciMark benchmark
945.8887[567.41723221127641014.4538012229739479.3490265306122909.90626928802961758.3172656914378]