DEVELOPMENT... OpenML
Run
115537

Run 115537

Task 3895 (Supervised Classification) gina_prior 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)_I40
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
0.9592
Per class
Build CPU time
565.9021
Build memory
168165959.0334
F measure
0.9484
Per class
Kappa
0.8968
KB relative information score
3107.3234
Mean absolute error
0.052
Mean prior absolute error
0.4999
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9485
Per class
Predictive accuracy
0.9484
Prior entropy
0.9998
Recall
0.9484
Per class
Relative absolute error
0.104
Root mean prior squared error
0.4999
Root mean squared error
0.2251
Root relative squared error
0.4502
SciMark benchmark
925.481