DEVELOPMENT... OpenML
Run
112731

Run 112731

Task 3561 (Supervised Classification) profb 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
0.6523
Per class
Build CPU time
0.1188
Build memory
872403965.0357
F measure
0.6574
Per class
Kappa
0.215
KB relative information score
135.7772
Mean absolute error
0.3414
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.653
Per class
Predictive accuracy
0.6667
Prior entropy
0.9188
Recall
0.6667
Per class
Relative absolute error
0.7678
Root mean prior squared error
0.4714
Root mean squared error
0.5228
Root relative squared error
1.109
SciMark benchmark
936.1433