DEVELOPMENT... OpenML
Run
167254

Run 167254

Task 1735 (Learning Curve) segment Uploaded 18-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.MultilayerPerceptron(3)Weka implementation of MultilayerPerceptron
weka.MultilayerPerceptron(3)_L0.3
weka.MultilayerPerceptron(3)_M0.2
weka.MultilayerPerceptron(3)_N500
weka.MultilayerPerceptron(3)_V0
weka.MultilayerPerceptron(3)_S0
weka.MultilayerPerceptron(3)_E20
weka.MultilayerPerceptron(3)_Ha

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
0.9949 ± 0.0029
Per class
F measure
0.9662 ± 0.0154
Per class
Kappa
0.9606 ± 0.0176
KB relative information score
0.9577 ± 0.0148
Mean absolute error
0.0138 ± 0.0042
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.9662 ± 0.0156
Per class
Predictive accuracy
0.9662 ± 0.0151
Prior entropy
2.8074
Recall
0.9662 ± 0.0151
Per class
Relative absolute error
0.0562 ± 0.017
Root mean prior squared error
0.3499
Root mean squared error
0.0924 ± 0.02
Root relative squared error
0.264 ± 0.057
SciMark benchmark
1062.8864
UserCPU time millis
12760
UserCPU time millis testing
20
UserCPU time millis training
12740