DEVELOPMENT... OpenML
Run
111115

Run 111115

Task 2075 (Supervised Classification) abalone 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)_I160
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
0.6009
Per class
Build CPU time
67.2458
Build memory
1171891057.7429
F measure
0.2278
Per class
Kappa
0.1369
KB relative information score
765.4077
Mean absolute error
0.053
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
0.2242
Per class
Predictive accuracy
0.2332
Prior entropy
3.6268
Recall
0.2332
Per class
Relative absolute error
0.8573
Root mean prior squared error
0.1757
Root mean squared error
0.227
Root relative squared error
1.2915
SciMark benchmark
945.0532