DEVELOPMENT... OpenML
Run
16314

Run 16314

Task 2075 (Supervised Classification) abalone 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)_I10
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
0.6909
Per class
F measure
0.2317
Per class
Kappa
0.143
KB relative information score
108.0998
Mean absolute error
0.0661
Mean prior absolute error
0.0618
Number of instances
4177
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2254
Per class
Predictive accuracy
0.2452
Prior entropy
3.6268
Recall
0.2452
Per class
Relative absolute error
1.0692
Root mean prior squared error
0.1757
Root mean squared error
0.1811
Root relative squared error
1.0305
SciMark benchmark
930.7407[528.71798329498521014.7209476623404474.68690723372646904.56866745157771731.0088653417492]