DEVELOPMENT... OpenML
Run
112381

Run 112381

Task 3837 (Supervised Classification) hayes-roth 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
0.9027
Per class
Build CPU time
0.0044
Build memory
58944740.0606
F measure
0.7768
Per class
Kappa
0.5246
KB relative information score
75.4678
Mean absolute error
0.1959
Mean prior absolute error
0.4746
Number of instances
132
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7779
Per class
Predictive accuracy
0.7803
Prior entropy
0.9635
Recall
0.7803
Per class
Relative absolute error
0.4129
Root mean prior squared error
0.4869
Root mean squared error
0.3588
Root relative squared error
0.7369
SciMark benchmark
934.6076