Run
61382

Run 61382

Task 1713 (Learning Curve) mfeat-fourier 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
0.9732 ± 0.007
Per class
Build CPU time
3.8176
Build memory
1592401189.7455
F measure
0.8017 ± 0.0216
Per class
Kappa
0.78 ± 0.0243
KB relative information score
0.7961 ± 0.0153
Mean absolute error
0.0563 ± 0.0026
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
0.8027 ± 0.0215
Per class
Predictive accuracy
0.802 ± 0.0219
Prior entropy
3.3219
Recall
0.802 ± 0.0219
Per class
Relative absolute error
0.3128 ± 0.0142
Root mean prior squared error
0.3
Root mean squared error
0.1637 ± 0.0077
Root relative squared error
0.5456 ± 0.0258
SciMark benchmark
1577.6335