Run
59534

Run 59534

Task 1714 (Learning Curve) breast-w Uploaded 15-11-2014 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_IBk(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0
weka.MultiBoostAB_IBk(2)_C3
weka.MultiBoostAB_IBk(2)_P100
weka.MultiBoostAB_IBk(2)_S1
weka.MultiBoostAB_IBk(2)_I10
weka.MultiBoostAB_IBk(2)_Wweka.classifiers.lazy.IBk

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
0.975 ± 0.0195
Per class
Build CPU time
0.0444
Build memory
1432372815.7
F measure
0.9527 ± 0.0336
Per class
Kappa
0.8952 ± 0.0738
KB relative information score
0.8951 ± 0.0708
Mean absolute error
0.0459 ± 0.0309
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9527 ± 0.0334
Per class
Predictive accuracy
0.9528 ± 0.0337
Prior entropy
0.9293 ± 0.0043
Recall
0.9528 ± 0.0337
Per class
Relative absolute error
0.1015 ± 0.0683
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.2094 ± 0.0866
Root relative squared error
0.4406 ± 0.182
SciMark benchmark
947.0414