Run
6060359

Run 6060359

Task 53 (Supervised Classification) vehicle Uploaded 03-08-2017 by Miguel Cachada
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Flow

weka.AttributeSelectedClassifier_MultilayerPerceptron(2)Weka implementation of AttributeSelectedClassifier
weka.MultilayerPerceptron(8)_L0.19579678252227556
weka.MultilayerPerceptron(8)_M0.9350419569876682
weka.MultilayerPerceptron(8)_N500
weka.MultilayerPerceptron(8)_V0
weka.MultilayerPerceptron(8)_S1
weka.MultilayerPerceptron(8)_E20
weka.MultilayerPerceptron(8)_Btrue
weka.MultilayerPerceptron(8)_Ha
weka.MultilayerPerceptron(8)_Dtrue
weka.AttributeSelectedClassifier_MultilayerPerceptron(2)_Eweka.attributeSelection.CfsSubsetEval -L -P 1 -E 1
weka.AttributeSelectedClassifier_MultilayerPerceptron(2)_Sweka.attributeSelection.GreedyStepwise -R -T -1.7976931348623157E308 -N -1 -num-slots 1
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
0.9493
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8093
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7494
Cross-validation details (10-fold Crossvalidation)
KB relative information score
593.2904
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1468
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3748
Cross-validation details (10-fold Crossvalidation)
Number of instances
846
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.8072
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8121
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.9991
Cross-validation details (10-fold Crossvalidation)
Recall
0.8121
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3916
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4329
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2527
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5837
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1615.696
UserCPU time millis
1820
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1810
Cross-validation details (10-fold Crossvalidation)