Run
61456

Run 61456

Task 2097 (Learning Curve) satimage 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
0.979 ± 0.0045
Per class
Build CPU time
2.837
Build memory
1583555035.8286
F measure
0.8979 ± 0.0103
Per class
Kappa
0.876 ± 0.0129
KB relative information score
0.8814 ± 0.0123
Mean absolute error
0.0336 ± 0.0034
Mean prior absolute error
0.2701 ± 0
Number of instances
6430
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8973 ± 0.0103
Per class
Predictive accuracy
0.8998 ± 0.0105
Prior entropy
2.4834 ± 0.0009
Recall
0.8998 ± 0.0105
Per class
Relative absolute error
0.1243 ± 0.0124
Root mean prior squared error
0.3675 ± 0
Root mean squared error
0.1741 ± 0.0091
Root relative squared error
0.4738 ± 0.0247
SciMark benchmark
1707.2836