Run
61536

Run 61536

Task 1757 (Learning Curve) waveform-5000 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
0.9465 ± 0.006
Per class
Build CPU time
3.1248
Build memory
1837517226.6857
F measure
0.8209 ± 0.0155
Per class
Kappa
0.7322 ± 0.0227
KB relative information score
0.7624 ± 0.0178
Mean absolute error
0.117 ± 0.0086
Mean prior absolute error
0.4444 ± 0
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8216 ± 0.0152
Per class
Predictive accuracy
0.8214 ± 0.0151
Prior entropy
1.5849 ± 0
Recall
0.8214 ± 0.0151
Per class
Relative absolute error
0.2632 ± 0.0193
Root mean prior squared error
0.4714 ± 0
Root mean squared error
0.321 ± 0.0133
Root relative squared error
0.681 ± 0.0282
SciMark benchmark
1559.5381