DEVELOPMENT... OpenML
Run
16932

Run 16932

Task 42 (Supervised Classification) haberman Uploaded 05-06-2014 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)_I160
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
0.6673
Per class
F measure
0.6819
Per class
Kappa
0.1662
KB relative information score
32.4786
Mean absolute error
0.3161
Mean prior absolute error
0.39
Number of instances
306
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.676
Per class
Predictive accuracy
0.6895
Prior entropy
0.836
Recall
0.6895
Per class
Relative absolute error
0.8105
Root mean prior squared error
0.4412
Root mean squared error
0.5383
Root relative squared error
1.2201
SciMark benchmark
945.3909[561.39063748653551016.3264661877167478.4945320839764909.59057174132591761.152276377127]