DEVELOPMENT... OpenML
Run
119809

Run 119809

Task 3665 (Supervised Classification) pyrim Uploaded 10-12-2014 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)_I10
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
0.9381
Per class
Build CPU time
0.4919
Build memory
260523729.5135
F measure
0.9457
Per class
Kappa
0.888
KB relative information score
65.1111
Mean absolute error
0.0589
Mean prior absolute error
0.4872
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9468
Per class
Predictive accuracy
0.9459
Prior entropy
0.9819
Recall
0.9459
Per class
Relative absolute error
0.1209
Root mean prior squared error
0.4934
Root mean squared error
0.2183
Root relative squared error
0.4424
SciMark benchmark
913.3372