DEVELOPMENT... OpenML
Run
112767

Run 112767

Task 3613 (Supervised Classification) servo 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
0.9437
Per class
Build CPU time
0.0047
Build memory
465255042.3952
F measure
0.9459
Per class
Kappa
0.8453
KB relative information score
136.4049
Mean absolute error
0.0551
Mean prior absolute error
0.3533
Number of instances
167
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9457
Per class
Predictive accuracy
0.9461
Prior entropy
0.7794
Recall
0.9461
Per class
Relative absolute error
0.1559
Root mean prior squared error
0.4193
Root mean squared error
0.2275
Root relative squared error
0.5427
SciMark benchmark
930.5854