Run
61509

Run 61509

Task 1752 (Learning Curve) vehicle 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
0.9128 ± 0.0208
Per class
Build CPU time
0.248
Build memory
1588256122.8444
F measure
0.7286 ± 0.0542
Per class
Kappa
0.6471 ± 0.0679
KB relative information score
0.6862 ± 0.0576
Mean absolute error
0.1325 ± 0.0229
Mean prior absolute error
0.3748 ± 0
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7242 ± 0.0563
Per class
Predictive accuracy
0.7352 ± 0.0509
Prior entropy
1.9991 ± 0.0005
Recall
0.7352 ± 0.0509
Per class
Relative absolute error
0.3536 ± 0.0612
Root mean prior squared error
0.4329 ± 0
Root mean squared error
0.3393 ± 0.0376
Root relative squared error
0.7837 ± 0.0869
SciMark benchmark
1559.5381