Run
55398

Run 55398

Task 2098 (Learning Curve) abalone Uploaded 11-11-2014 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_LADTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LADTree(2)_I10
weka.Bagging_LADTree(2)_P100
weka.Bagging_LADTree(2)_S1
weka.Bagging_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.Bagging_LADTree(2)_num-slots1
weka.LADTree(2)_B10

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
0.7604 ± 0.01
Per class
Build CPU time
5.8155
Build memory
646539074.1538
Kappa
0.1673 ± 0.0182
KB relative information score
0.2305 ± 0.0086
Mean absolute error
0.0566 ± 0.0003
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
0.2756 ± 0.0166
Prior entropy
3.6031 ± 0.0188
Recall
0.2756 ± 0.0166
Per class
Relative absolute error
0.9165 ± 0.0043
Root mean prior squared error
0.1757 ± 0
Root mean squared error
0.1679 ± 0.0008
Root relative squared error
0.9552 ± 0.0049
SciMark benchmark
1080.8351