DEVELOPMENT... OpenML
Run
119597

Run 119597

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)_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
0.9455
Per class
Build CPU time
246.4452
Build memory
1049250143.2
F measure
0.8317
Per class
Kappa
0.7477
KB relative information score
3854.6368
Mean absolute error
0.1122
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
0.8317
Per class
Predictive accuracy
0.8318
Prior entropy
1.5849
Recall
0.8318
Per class
Relative absolute error
0.2526
Root mean prior squared error
0.4714
Root mean squared error
0.3173
Root relative squared error
0.6731
SciMark benchmark
924.2473