Run
61493

Run 61493

Task 1730 (Learning Curve) credit-g 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
0.7393 ± 0.0563
Per class
Build CPU time
0.7492
Build memory
1891464270.4889
F measure
0.7185 ± 0.0554
Per class
Kappa
0.3131 ± 0.1381
KB relative information score
0.3214 ± 0.1199
Mean absolute error
0.2652 ± 0.0456
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7146 ± 0.0582
Per class
Predictive accuracy
0.728 ± 0.0512
Prior entropy
0.8813
Recall
0.728 ± 0.0512
Per class
Relative absolute error
0.6312 ± 0.1085
Root mean prior squared error
0.4583
Root mean squared error
0.4875 ± 0.0524
Root relative squared error
1.0639 ± 0.1143
SciMark benchmark
1567.5641