Run
1815105

Run 1815105

Task 125879 (Learning Curve) autoUniv-au4-2500 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
0.6242 ± 0.0448
Per class
F measure
0.5367 ± 0.0292
Per class
Kappa
0.1805 ± 0.0529
KB relative information score
344.2863 ± 9.1177
Mean absolute error
0.3395 ± 0.0142
Mean prior absolute error
0.3794 ± 0.0005
Number of instances
2500
Per class
OS information
[Oracle Corporation, 1.7.0_101, amd64, Linux, 3.13.0-92-generic]
Precision
0.5291 ± 0.0433
Per class
Predictive accuracy
0.5556 ± 0.0285
Prior entropy
1.3187
Recall
0.5556 ± 0.0285
Per class
Relative absolute error
0.8949 ± 0.038
Root mean prior squared error
0.4355 ± 0.0006
Root mean squared error
0.4422 ± 0.0149
Root relative squared error
1.0153 ± 0.0348
SciMark benchmark
1330.1405
UserCPU time millis
628920
UserCPU time millis testing
3010
UserCPU time millis training
625910