DEVELOPMENT... OpenML
Run
16642

Run 16642

Task 40 (Supervised Classification) glass Uploaded 04-06-2014 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)_I20
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.

17 Evaluation measures

Area under ROC curve
0.9296
Per class
F measure
0.7877
Per class
Kappa
0.7126
KB relative information score
151.9249
Mean absolute error
0.0639
Mean prior absolute error
0.2116
Number of instances
214
Per class
Precision
0.7908
Per class
Predictive accuracy
0.7897
Prior entropy
2.2315
Recall
0.7897
Per class
Relative absolute error
0.3022
Root mean prior squared error
0.3244
Root mean squared error
0.2383
Root relative squared error
0.7344