Run
52090

Run 52090

Task 1714 (Learning Curve) breast-w Uploaded 07-11-2014 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.Bagging_MultilayerPerceptron(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_MultilayerPerceptron(2)_I10
weka.Bagging_MultilayerPerceptron(2)_P100
weka.Bagging_MultilayerPerceptron(2)_S1
weka.Bagging_MultilayerPerceptron(2)_Wweka.classifiers.functions.MultilayerPerceptron
weka.Bagging_MultilayerPerceptron(2)_num-slots1
weka.MultilayerPerceptron(2)_E20
weka.MultilayerPerceptron(2)_Ha
weka.MultilayerPerceptron(2)_L0.3
weka.MultilayerPerceptron(2)_M0.2
weka.MultilayerPerceptron(2)_N500
weka.MultilayerPerceptron(2)_S0
weka.MultilayerPerceptron(2)_V0

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
0.9866 ± 0.0126
Per class
Build CPU time
1.7869
Build memory
795011832.3
F measure
0.9529 ± 0.0381
Per class
Kappa
0.8962 ± 0.0824
KB relative information score
0.8787 ± 0.0661
Mean absolute error
0.0558 ± 0.0277
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9533 ± 0.0352
Per class
Predictive accuracy
0.9528 ± 0.0387
Prior entropy
0.9293 ± 0.0043
Recall
0.9528 ± 0.0387
Per class
Relative absolute error
0.1235 ± 0.0613
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.1844 ± 0.066
Root relative squared error
0.3881 ± 0.1388
SciMark benchmark
1914.93