Run
2347596

Run 2347596

Task 49 (Supervised Classification) tic-tac-toe Uploaded 26-05-2017 by Miguel Cachada
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Flow

weka.AttributeSelectedClassifier_MultilayerPerceptron(2)Weka implementation of AttributeSelectedClassifier
weka.MultilayerPerceptron(8)_L0.3
weka.MultilayerPerceptron(8)_M0.2
weka.MultilayerPerceptron(8)_N100
weka.MultilayerPerceptron(8)_V0
weka.MultilayerPerceptron(8)_S0
weka.MultilayerPerceptron(8)_E20
weka.MultilayerPerceptron(8)_Ho
weka.AttributeSelectedClassifier_MultilayerPerceptron(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_MultilayerPerceptron(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_MultilayerPerceptron(2)_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
0.8228 ± 0.039
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7501 ± 0.0521
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4353 ± 0.1165
Cross-validation details (10-fold Crossvalidation)
KB relative information score
334.541 ± 6.2929
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2925 ± 0.0296
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.453 ± 0.0013
Cross-validation details (10-fold Crossvalidation)
Number of instances
958
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.7827 ± 0.0472
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7724 ± 0.0386
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9312
Cross-validation details (10-fold Crossvalidation)
Recall
0.7724 ± 0.0386
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6458 ± 0.0659
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4759 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3903 ± 0.0278
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8201 ± 0.0584
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1299.8982
UserCPU time millis
60
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
60
Cross-validation details (10-fold Crossvalidation)