Run
2347538

Run 2347538

Task 21 (Supervised Classification) car 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)_Ha
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
0.9996 ± 0.0005
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9937 ± 0.0041
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9861 ± 0.0093
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1666.175 ± 2.1463
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.011 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.229 ± 0.0006
Cross-validation details (10-fold Crossvalidation)
Number of instances
1728
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.994 ± 0.0036
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9936 ± 0.0043
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (10-fold Crossvalidation)
Recall
0.9936 ± 0.0043
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0478 ± 0.01
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3381 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.056 ± 0.0156
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1655 ± 0.046
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1517.4235
UserCPU time millis
240
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
230
Cross-validation details (10-fold Crossvalidation)