DEVELOPMENT... OpenML
Run
112513

Run 112513

Task 57 (Supervised Classification) ionosphere 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)_I20
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
0.9289
Per class
Build CPU time
0.3729
Build memory
119411253.2422
F measure
0.9306
Per class
Kappa
0.8477
KB relative information score
299.056
Mean absolute error
0.0654
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.933
Per class
Predictive accuracy
0.9316
Prior entropy
0.9425
Recall
0.9316
Per class
Relative absolute error
0.1421
Root mean prior squared error
0.4797
Root mean squared error
0.2482
Root relative squared error
0.5174
SciMark benchmark
917.4547