Run
54480

Run 54480

Task 1711 (Learning Curve) mfeat-factors Uploaded 09-11-2014 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
0.9979 ± 0.0019
Per class
Build CPU time
926.8228
Build memory
1932008998.5455
F measure
0.979 ± 0.0126
Per class
Kappa
0.9767 ± 0.0141
KB relative information score
0.9731 ± 0.012
Mean absolute error
0.0073 ± 0.0024
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9791 ± 0.0119
Per class
Predictive accuracy
0.979 ± 0.0126
Prior entropy
3.3219
Recall
0.979 ± 0.0126
Per class
Relative absolute error
0.0404 ± 0.0135
Root mean prior squared error
0.3
Root mean squared error
0.0605 ± 0.0179
Root relative squared error
0.2017 ± 0.0595
SciMark benchmark
1853.1129