DEVELOPMENT... OpenML
Run
28601

Run 28601

Task 3586 (Supervised Classification) abalone Uploaded 09-10-2014 by Felicia West
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I40
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
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
0.87
Per class
Build CPU time
3.1648
Build memory
1516521383.7855
F measure
0.7799
Per class
Kappa
0.56
KB relative information score
1949.9484
Mean absolute error
0.2778
Mean prior absolute error
0.5
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
0.7806
Per class
Predictive accuracy
0.78
Prior entropy
1
Recall
0.78
Per class
Relative absolute error
0.5556
Root mean prior squared error
0.5
Root mean squared error
0.3837
Root relative squared error
0.7673
SciMark benchmark
942.4063