DEVELOPMENT... OpenML
Run
21279

Run 21279

Task 11 (Supervised Classification) balance-scale 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)_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
0.9776
Per class
F measure
0.9326
Per class
Kappa
0.8798
KB relative information score
539.056
Mean absolute error
0.0443
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9343
Per class
Predictive accuracy
0.9312
Prior entropy
1.3212
Recall
0.9312
Per class
Relative absolute error
0.1167
Root mean prior squared error
0.4356
Root mean squared error
0.2022
Root relative squared error
0.4643
SciMark benchmark
944.8425[560.12864292244511012.8541257252805483.449727694041908.32981910425011759.4501199261804]

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