Run
61412

Run 61412

Task 1721 (Learning Curve) mfeat-zernike 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
0.9586 ± 0.0101
Per class
Build CPU time
2.6641
Build memory
1618183001.9636
F measure
0.729 ± 0.0293
Per class
Kappa
0.7022 ± 0.0317
KB relative information score
0.7413 ± 0.0201
Mean absolute error
0.0687 ± 0.0038
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
0.728 ± 0.0289
Per class
Predictive accuracy
0.732 ± 0.0285
Prior entropy
3.3219
Recall
0.732 ± 0.0285
Per class
Relative absolute error
0.3815 ± 0.0214
Root mean prior squared error
0.3
Root mean squared error
0.184 ± 0.0077
Root relative squared error
0.6133 ± 0.0258
SciMark benchmark
1611.6176