Run
65230

Run 65230

Task 1711 (Learning Curve) mfeat-factors Uploaded 20-11-2014 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
0.9934 ± 0.0043
Per class
Build CPU time
8.4914
Build memory
1904739056.3636
F measure
0.9379 ± 0.0135
Per class
Kappa
0.9311 ± 0.0146
KB relative information score
0.9042 ± 0.0105
Mean absolute error
0.029 ± 0.0023
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9381 ± 0.0127
Per class
Predictive accuracy
0.938 ± 0.0132
Prior entropy
3.3219
Recall
0.938 ± 0.0132
Per class
Relative absolute error
0.1611 ± 0.0129
Root mean prior squared error
0.3
Root mean squared error
0.1037 ± 0.0073
Root relative squared error
0.3458 ± 0.0242
SciMark benchmark
1885.6155