DEVELOPMENT... OpenML
Run
137665

Run 137665

Task 58 (Supervised Classification) waveform-5000 Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(2)_I160
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.9294
Per class
Build CPU time
48.1447
Build memory
79105728
F measure
0.8415
Per class
Kappa
0.7627
KB relative information score
3914.6866
Mean absolute error
0.1061
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
0.8419
Per class
Predictive accuracy
0.8418
Prior entropy
1.5849
Recall
0.8418
Per class
Relative absolute error
0.2387
Root mean prior squared error
0.4714
Root mean squared error
0.3187
Root relative squared error
0.676
SciMark benchmark
941.8181