Run
61451

Run 61451

Task 1701 (Learning Curve) anneal 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
0.9775 ± 0.0165
Per class
Build CPU time
0.6253
Build memory
1740824612.8
F measure
0.9476 ± 0.0238
Per class
Kappa
0.8686 ± 0.0586
KB relative information score
0.8662 ± 0.0527
Mean absolute error
0.0172 ± 0.0074
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.948 ± 0.0243
Per class
Predictive accuracy
0.9477 ± 0.0228
Prior entropy
1.1915 ± 0.026
Recall
0.9477 ± 0.0228
Per class
Relative absolute error
0.1284 ± 0.0551
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.1264 ± 0.0277
Root relative squared error
0.4895 ± 0.1072
SciMark benchmark
1592.7924