Run
1815009

Run 1815009

Task 125877 (Learning Curve) autoUniv-au7-700 Uploaded 08-09-2016 by Jan van Rijn
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Flow

weka.Bagging_MultilayerPerceptron(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.MultilayerPerceptron(4)_L0.3
weka.MultilayerPerceptron(4)_M0.2
weka.MultilayerPerceptron(4)_N500
weka.MultilayerPerceptron(4)_V0
weka.MultilayerPerceptron(4)_S0
weka.MultilayerPerceptron(4)_E20
weka.MultilayerPerceptron(4)_H10
weka.Bagging_MultilayerPerceptron(3)_P100
weka.Bagging_MultilayerPerceptron(3)_S1
weka.Bagging_MultilayerPerceptron(3)_num-slots1
weka.Bagging_MultilayerPerceptron(3)_I10
weka.Bagging_MultilayerPerceptron(3)_Wweka.classifiers.functions.MultilayerPerceptron

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.

22 Evaluation measures

Area under ROC curve
0.628 ± 0.0243
Per class
F measure
0.458 ± 0.0408
Per class
Kappa
0.1865 ± 0.055
KB relative information score
121.6698 ± 1.121
Mean absolute error
0.3999 ± 0.0061
Mean prior absolute error
0.4437 ± 0.0002
Number of instances
700
Per class
OS information
[Oracle Corporation, 1.7.0_101, amd64, Linux, 3.13.0-92-generic]
Precision
0.4577 ± 0.0426
Per class
Predictive accuracy
0.4586 ± 0.0365
Prior entropy
1.5824
Recall
0.4586 ± 0.0365
Per class
Relative absolute error
0.9013 ± 0.0138
Root mean prior squared error
0.471 ± 0.0002
Root mean squared error
0.4732 ± 0.0096
Root relative squared error
1.0047 ± 0.0203
SciMark benchmark
1267.5125
UserCPU time millis
19110
UserCPU time millis testing
40
UserCPU time millis training
19070