DEVELOPMENT... OpenML
Run
18022

Run 18022

Task 42 (Supervised Classification) haberman Uploaded 10-06-2014 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
0.6675
Per class
F measure
0.6794
Per class
Kappa
0.1609
KB relative information score
31.6909
Mean absolute error
0.317
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
0.6739
Per class
Predictive accuracy
0.6863
Prior entropy
0.836
Recall
0.6863
Per class
Relative absolute error
0.8127
Root mean prior squared error
0.4412
Root mean squared error
0.5393
Root relative squared error
1.2223
SciMark benchmark
907.9146[559.76910839984421014.9881711071126479.99187728791736909.59057174132591575.2331471921714]