DEVELOPMENT... OpenML
Run
20287

Run 20287

Task 47 (Supervised Classification) tae Uploaded 18-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(1)_I160
weka.AdaBoostM1_LMT(1)_P100
weka.AdaBoostM1_LMT(1)_S1
weka.AdaBoostM1_LMT(1)_Wweka.classifiers.trees.LMT
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0

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
0.8186
Per class
F measure
0.6623
Per class
Kappa
0.4935
KB relative information score
80.6583
Mean absolute error
0.2287
Mean prior absolute error
0.4443
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.663
Per class
Predictive accuracy
0.6623
Prior entropy
1.5845
Recall
0.6623
Per class
Relative absolute error
0.5147
Root mean prior squared error
0.4713
Root mean squared error
0.4453
Root relative squared error
0.9448
SciMark benchmark
916.5704[551.1028944780116959.6388834880578456.91138665459647888.02170947903681727.17692455962]