DEVELOPMENT... OpenML
Run
113609

Run 113609

Task 3896 (Supervised Classification) ada_agnostic 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)_I10
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
0.8295
Per class
Build CPU time
6.9317
Build memory
783818096.7523
F measure
0.8155
Per class
Kappa
0.5003
KB relative information score
2084.5185
Mean absolute error
0.1802
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8139
Per class
Predictive accuracy
0.8176
Prior entropy
0.8085
Recall
0.8176
Per class
Relative absolute error
0.4829
Root mean prior squared error
0.4319
Root mean squared error
0.4068
Root relative squared error
0.9417
SciMark benchmark
923.9118