DEVELOPMENT... OpenML
Run
111161

Run 111161

Task 58 (Supervised Classification) waveform-5000 Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(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_J48(2)_I160
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.899
Per class
Build CPU time
129.0273
Build memory
1131970037.6
F measure
0.8514
Per class
Kappa
0.7781
KB relative information score
3990.3034
Mean absolute error
0.0985
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
0.853
Per class
Predictive accuracy
0.852
Prior entropy
1.5849
Recall
0.852
Per class
Relative absolute error
0.2215
Root mean prior squared error
0.4714
Root mean squared error
0.3125
Root relative squared error
0.6629
SciMark benchmark
907.4175