Run
52088

Run 52088

Task 1710 (Learning Curve) balance-scale 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
0.9884 ± 0.0068
Per class
Build CPU time
1.7029
Build memory
217627218.9
F measure
0.9217 ± 0.0264
Per class
Kappa
0.8643 ± 0.0498
KB relative information score
0.8167 ± 0.0319
Mean absolute error
0.0745 ± 0.0133
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9205 ± 0.0265
Per class
Predictive accuracy
0.9232 ± 0.0292
Prior entropy
1.3181 ± 0.0124
Recall
0.9232 ± 0.0292
Per class
Relative absolute error
0.1962 ± 0.0348
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.186 ± 0.0313
Root relative squared error
0.4271 ± 0.0717
SciMark benchmark
1678.1065