DEVELOPMENT... OpenML
Run
121889

Run 121889

Task 2352 (Supervised Classification) meta_all.arff Uploaded 12-12-2014 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)_I160
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
0.7076
Per class
Build CPU time
19.147
Build memory
672841336
F measure
0.5336
Per class
Kappa
0.2873
KB relative information score
5.1723
Mean absolute error
0.1594
Mean prior absolute error
0.1912
Number of instances
23
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.678
Per class
Predictive accuracy
0.5217
Prior entropy
1.9094
Recall
0.5217
Per class
Relative absolute error
0.8337
Root mean prior squared error
0.2919
Root mean squared error
0.3993
Root relative squared error
1.3679
SciMark benchmark
938.6131