Run
1815016

Run 1815016

Task 125881 (Learning Curve) wilt 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
0.9967 ± 0.0041
Per class
F measure
0.9856 ± 0.0047
Per class
Kappa
0.855 ± 0.0469
KB relative information score
2437.7561 ± 76.5438
Mean absolute error
0.0331 ± 0.0075
Mean prior absolute error
0.1022 ± 0.0006
Number of instances
4839
Per class
OS information
[Oracle Corporation, 1.7.0_101, amd64, Linux, 3.13.0-92-generic]
Precision
0.9855 ± 0.0047
Per class
Predictive accuracy
0.9859 ± 0.0046
Prior entropy
0.3037
Recall
0.9859 ± 0.0046
Per class
Relative absolute error
0.3236 ± 0.0738
Root mean prior squared error
0.2259 ± 0.0013
Root mean squared error
0.1024 ± 0.0146
Root relative squared error
0.4531 ± 0.0659
SciMark benchmark
1328.6264
UserCPU time millis
73600
UserCPU time millis testing
90
UserCPU time millis training
73510