DEVELOPMENT... OpenML
Run
114888

Run 114888

Task 2075 (Supervised Classification) abalone Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_JRip(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_JRip(2)_I40
weka.AdaBoostM1_JRip(2)_P100
weka.AdaBoostM1_JRip(2)_S1
weka.AdaBoostM1_JRip(2)_Wweka.classifiers.rules.JRip
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.5614
Per class
Build CPU time
1.5403
Build memory
309969673.741
F measure
0.0995
Per class
Kappa
0.0379
KB relative information score
252.3446
Mean absolute error
0.0603
Mean prior absolute error
0.0618
Number of instances
4177
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2102
Per class
Predictive accuracy
0.1896
Prior entropy
3.6268
Recall
0.1896
Per class
Relative absolute error
0.9752
Root mean prior squared error
0.1757
Root mean squared error
0.1748
Root relative squared error
0.9947
SciMark benchmark
902.712