DEVELOPMENT... OpenML
Run
167340

Run 167340

Task 1748 (Learning Curve) tic-tac-toe Uploaded 19-02-2015 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
0.9929 ± 0.01
Per class
F measure
0.9666 ± 0.0238
Per class
Kappa
0.9262 ± 0.0517
KB relative information score
0.9204 ± 0.042
Mean absolute error
0.0354 ± 0.0175
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.9666 ± 0.0226
Per class
Predictive accuracy
0.9666 ± 0.024
Prior entropy
0.931 ± 0.0039
Recall
0.9666 ± 0.024
Per class
Relative absolute error
0.078 ± 0.0385
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.1609 ± 0.0506
Root relative squared error
0.3382 ± 0.106
SciMark benchmark
1062.8864
UserCPU time millis
5270
UserCPU time millis testing
10
UserCPU time millis training
5260

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