DEVELOPMENT... OpenML
Run
120162

Run 120162

Task 58 (Supervised Classification) waveform-5000 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)_I20
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
0.9353
Per class
Build CPU time
498.9313
Build memory
358355166.4
F measure
0.8432
Per class
Kappa
0.7651
KB relative information score
3922.033
Mean absolute error
0.1055
Mean prior absolute error
0.4444
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8433
Per class
Predictive accuracy
0.8434
Prior entropy
1.5849
Recall
0.8434
Per class
Relative absolute error
0.2373
Root mean prior squared error
0.4714
Root mean squared error
0.3148
Root relative squared error
0.6679
SciMark benchmark
935.6292