Run
1814981

Run 1814981

Task 125867 (Learning Curve) analcatdata_dmft 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
0.5578 ± 0.0526
Per class
F measure
0.204 ± 0.0387
Per class
Kappa
0.0419 ± 0.0433
KB relative information score
95.2491 ± 2.6207
Mean absolute error
0.2689 ± 0.0072
Mean prior absolute error
0.2774 ± 0.0001
Number of instances
797
Per class
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.22.2.el7.x86_64]
Precision
0.2075 ± 0.0457
Per class
Predictive accuracy
0.2033 ± 0.0364
Prior entropy
2.5803
Recall
0.2033 ± 0.0364
Per class
Relative absolute error
0.9692 ± 0.0259
Root mean prior squared error
0.3724 ± 0.0001
Root mean squared error
0.3886 ± 0.0097
Root relative squared error
1.0435 ± 0.0259
SciMark benchmark
1551.899
UserCPU time millis
23030
UserCPU time millis testing
30
UserCPU time millis training
23000