Run
61476

Run 61476

Task 1722 (Learning Curve) cmc 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
0.6939 ± 0.0269
Per class
Build CPU time
0.81
Build memory
1633476988.24
F measure
0.5157 ± 0.037
Per class
Kappa
0.249 ± 0.0571
KB relative information score
0.3035 ± 0.0399
Mean absolute error
0.3254 ± 0.0176
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.5146 ± 0.0371
Per class
Predictive accuracy
0.5173 ± 0.0373
Prior entropy
1.539 ± 0.0029
Recall
0.5173 ± 0.0373
Per class
Relative absolute error
0.7553 ± 0.0409
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.5122 ± 0.0164
Root relative squared error
1.1037 ± 0.0353
SciMark benchmark
1592.7924