DEVELOPMENT... OpenML
Run
118471

Run 118471

Task 58 (Supervised Classification) waveform-5000 Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.9522
Per class
Build CPU time
36.6227
Build memory
226055540
F measure
0.826
Per class
Kappa
0.7393
KB relative information score
3637.8061
Mean absolute error
0.1405
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
0.8261
Per class
Predictive accuracy
0.8262
Prior entropy
1.5849
Recall
0.8262
Per class
Relative absolute error
0.3161
Root mean prior squared error
0.4714
Root mean squared error
0.2897
Root relative squared error
0.6147
SciMark benchmark
937.279