DEVELOPMENT... OpenML
Run
120857

Run 120857

Task 58 (Supervised Classification) waveform-5000 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)_I40
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
0.9191
Per class
Build CPU time
1064.3947
Build memory
158719217.6
F measure
0.8488
Per class
Kappa
0.7735
KB relative information score
3970.6033
Mean absolute error
0.1004
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
0.849
Per class
Predictive accuracy
0.849
Prior entropy
1.5849
Recall
0.849
Per class
Relative absolute error
0.2259
Root mean prior squared error
0.4714
Root mean squared error
0.3118
Root relative squared error
0.6614
SciMark benchmark
889.6909