Run
46793

Run 46793

Task 1714 (Learning Curve) breast-w Uploaded 04-11-2014 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_RandomTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001
weka.MultiBoostAB_RandomTree(2)_C3
weka.MultiBoostAB_RandomTree(2)_P100
weka.MultiBoostAB_RandomTree(2)_S1
weka.MultiBoostAB_RandomTree(2)_I10
weka.MultiBoostAB_RandomTree(2)_Wweka.classifiers.trees.RandomTree

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
0.9411 ± 0.0347
Per class
Build CPU time
0.0025
Build memory
115372269.6
F measure
0.9427 ± 0.0297
Per class
Kappa
0.8731 ± 0.0662
KB relative information score
0.8667 ± 0.0678
Mean absolute error
0.0579 ± 0.0294
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9427 ± 0.0291
Per class
Predictive accuracy
0.9428 ± 0.0294
Prior entropy
0.9293 ± 0.0043
Recall
0.9428 ± 0.0294
Per class
Relative absolute error
0.1281 ± 0.0651
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.2381 ± 0.089
Root relative squared error
0.501 ± 0.1874
SciMark benchmark
1508.8083