DEVELOPMENT... OpenML
Run
125790

Run 125790

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

weka.AdaBoostM1_NaiveBayes(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_NaiveBayes(2)_I80
weka.AdaBoostM1_NaiveBayes(2)_P100
weka.AdaBoostM1_NaiveBayes(2)_S1
weka.AdaBoostM1_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

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
0.7067
Per class
Build CPU time
0.2669
Build memory
608884960.8753
F measure
0.2035
Per class
Kappa
0.1358
KB relative information score
893.5299
Mean absolute error
0.0558
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
0.1961
Per class
Predictive accuracy
0.2349
Prior entropy
3.6268
Recall
0.2349
Per class
Relative absolute error
0.9031
Root mean prior squared error
0.1757
Root mean squared error
0.1881
Root relative squared error
1.0707
SciMark benchmark
909.5718