Run
2347580

Run 2347580

Task 22 (Supervised Classification) mfeat-zernike 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
0.9717 ± 0.0034
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7945 ± 0.0136
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8083 ± 0.0153
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1672.95 ± 2.4389
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0442 ± 0.0023
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.7748 ± 0.013
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8275 ± 0.0138
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.8275 ± 0.0138
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2456 ± 0.0129
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1533 ± 0.0059
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.511 ± 0.0196
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1363.5973
UserCPU time millis
1590
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1580
Cross-validation details (10-fold Crossvalidation)