DEVELOPMENT... OpenML
Run
129989

Run 129989

Task 2075 (Supervised Classification) abalone Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I80
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.5495
Per class
Build CPU time
0.0298
Build memory
498577377.9478
F measure
0.193
Per class
Kappa
0.1008
KB relative information score
632.4768
Mean absolute error
0.0543
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
0.1829
Per class
Predictive accuracy
0.2128
Prior entropy
3.6268
Recall
0.2128
Per class
Relative absolute error
0.8786
Root mean prior squared error
0.1757
Root mean squared error
0.233
Root relative squared error
1.3259
SciMark benchmark
939.0159