Run
52102

Run 52102

Task 1722 (Learning Curve) cmc 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
0.7153 ± 0.0297
Per class
Build CPU time
11.1163
Build memory
75836678.8
F measure
0.5409 ± 0.0408
Per class
Kappa
0.2875 ± 0.0628
KB relative information score
0.2566 ± 0.0252
Mean absolute error
0.3519 ± 0.0116
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.5405 ± 0.0386
Per class
Predictive accuracy
0.5451 ± 0.0403
Prior entropy
1.539 ± 0.0029
Recall
0.5451 ± 0.0403
Per class
Relative absolute error
0.8169 ± 0.0274
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.4386 ± 0.0099
Root relative squared error
0.945 ± 0.0218
SciMark benchmark
1853.1129