Run
55343

Run 55343

Task 2098 (Learning Curve) abalone Uploaded 10-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I10
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.

19 Evaluation measures

Area under ROC curve
0.7023 ± 0.0129
Per class
Build CPU time
0.2279
Build memory
462194515.0154
Kappa
0.125 ± 0.0279
KB relative information score
0.2435 ± 0.0106
Mean absolute error
0.0556 ± 0.0004
Mean prior absolute error
0.0618 ± 0
Number of instances
4177
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.2236 ± 0.0246
Prior entropy
3.6031 ± 0.0188
Recall
0.2236 ± 0.0246
Per class
Relative absolute error
0.9002 ± 0.006
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.1768 ± 0.0012
Root relative squared error
1.0063 ± 0.0067
SciMark benchmark
1814.8577