Run
61461

Run 61461

Task 1720 (Learning Curve) car 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.MultiBoostAB_BFTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1
weka.MultiBoostAB_BFTree(2)_C3
weka.MultiBoostAB_BFTree(2)_P100
weka.MultiBoostAB_BFTree(2)_S1
weka.MultiBoostAB_BFTree(2)_I10
weka.MultiBoostAB_BFTree(2)_Wweka.classifiers.trees.BFTree

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
0.9974 ± 0.0027
Per class
Build CPU time
0.5956
Build memory
2095331827.8546
F measure
0.9763 ± 0.0103
Per class
Kappa
0.9483 ± 0.0223
KB relative information score
0.9448 ± 0.0256
Mean absolute error
0.011 ± 0.0046
Mean prior absolute error
0.229 ± 0.0007
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9765 ± 0.0101
Per class
Predictive accuracy
0.9763 ± 0.0104
Prior entropy
1.2058 ± 0.0093
Recall
0.9763 ± 0.0104
Per class
Relative absolute error
0.048 ± 0.02
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.0972 ± 0.0254
Root relative squared error
0.2876 ± 0.0749
SciMark benchmark
1707.2836