DEVELOPMENT... OpenML
Run
24738

Run 24738

Task 11 (Supervised Classification) balance-scale Uploaded 15-07-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(1)_I40
weka.AdaBoostM1_REPTree(1)_P100
weka.AdaBoostM1_REPTree(1)_S1
weka.AdaBoostM1_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.9545
Per class
F measure
0.824
Per class
Kappa
0.6908
KB relative information score
384.5811
Mean absolute error
0.133
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
0.824
Per class
Predictive accuracy
0.824
Prior entropy
1.3212
Recall
0.824
Per class
Relative absolute error
0.3502
Root mean prior squared error
0.4356
Root mean squared error
0.2863
Root relative squared error
0.6574
SciMark benchmark
898.677[533.406926658694961.5543055220107459.2565427053753862.88344563334581676.283949149178]