DEVELOPMENT... OpenML
Run
121194

Run 121194

Task 241 (Supervised Classification) balance-scale Uploaded 11-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(2)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(2)_I80
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9415
Per class
Build CPU time
46.273
Build memory
1005585704
F measure
0.8953
Per class
Kappa
0.8304
KB relative information score
168.7503
Mean absolute error
0.0638
Mean prior absolute error
0.3857
Number of instances
206
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8951
Per class
Predictive accuracy
0.9029
Prior entropy
1.3212
Recall
0.9029
Per class
Relative absolute error
0.1655
Root mean prior squared error
0.4424
Root mean squared error
0.2506
Root relative squared error
0.5664
SciMark benchmark
924.2934