DEVELOPMENT... OpenML
Run
22825

Run 22825

Task 47 (Supervised Classification) tae Uploaded 22-06-2014 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)_I20
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
0.8124
Per class
F measure
0.676
Per class
Kappa
0.5131
KB relative information score
80.9839
Mean absolute error
0.2292
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
0.6767
Per class
Predictive accuracy
0.6755
Prior entropy
1.5845
Recall
0.6755
Per class
Relative absolute error
0.5158
Root mean prior squared error
0.4713
Root mean squared error
0.4385
Root relative squared error
0.9302
SciMark benchmark
944.2524[565.21084232176751012.8541257252805481.0671011934597908.32981910425011753.799996626104]