Run
61673

Run 61673

Task 1719 (Learning Curve) mfeat-pixel Uploaded 16-11-2014 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_BFTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1
weka.Bagging_BFTree(2)_I10
weka.Bagging_BFTree(2)_P100
weka.Bagging_BFTree(2)_S1
weka.Bagging_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.Bagging_BFTree(2)_num-slots1

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
0.9904 ± 0.0054
Per class
Build CPU time
48.7515
Build memory
1780802842.6182
F measure
0.9219 ± 0.0176
Per class
Kappa
0.9133 ± 0.0196
KB relative information score
0.8862 ± 0.0163
Mean absolute error
0.0336 ± 0.0036
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9229 ± 0.0169
Per class
Predictive accuracy
0.922 ± 0.0177
Prior entropy
3.3219
Recall
0.922 ± 0.0177
Per class
Relative absolute error
0.1866 ± 0.0199
Root mean prior squared error
0.3
Root mean squared error
0.1133 ± 0.0104
Root relative squared error
0.3776 ± 0.0345
SciMark benchmark
1578.1995