Run
1814975

Run 1814975

Task 125866 (Learning Curve) analcatdata_authorship Uploaded 07-09-2016 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
1 ± 0.0002
Per class
F measure
0.9988 ± 0.0038
Per class
Kappa
0.9983 ± 0.0054
KB relative information score
830.0489 ± 1.0902
Mean absolute error
0.0064 ± 0.003
Mean prior absolute error
0.3439 ± 0.0011
Number of instances
841
Per class
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.22.2.el7.x86_64]
Precision
0.9988 ± 0.0036
Per class
Predictive accuracy
0.9988 ± 0.0038
Prior entropy
1.7898
Recall
0.9988 ± 0.0038
Per class
Relative absolute error
0.0186 ± 0.0086
Root mean prior squared error
0.4146 ± 0.0013
Root mean squared error
0.0359 ± 0.0198
Root relative squared error
0.0865 ± 0.0477
SciMark benchmark
1563.8377
UserCPU time millis
58820
UserCPU time millis testing
100
UserCPU time millis training
58720