Run
559142

Run 559142

Task 3555 (Supervised Classification) prnn_synth Uploaded 15-04-2016 by Martijn Post
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Flow

weka.AttributeSelectedClassifier_GainRatioAttributeEval_Ranker_MultilayerPe rceptron(1)Weka implementation of AttributeSelectedClassifier
weka.MultilayerPerceptron(4)_L0.3
weka.MultilayerPerceptron(4)_M0.2
weka.MultilayerPerceptron(4)_N500
weka.MultilayerPerceptron(4)_V0
weka.MultilayerPerceptron(4)_S0
weka.MultilayerPerceptron(4)_E20
weka.MultilayerPerceptron(4)_H1
weka.Ranker(3)_T-1.7976931348623157E308
weka.Ranker(3)_N-1
weka.AttributeSelectedClassifier_GainRatioAttributeEval_Ranker_MultilayerPerceptron(1)_Sweka.attributeSelection.Ranker
weka.AttributeSelectedClassifier_GainRatioAttributeEval_Ranker_MultilayerPerceptron(1)_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
0.9165
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8518
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.704
Cross-validation details (10-fold Crossvalidation)
KB relative information score
144.9229
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2257
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
250
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.8538
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.852
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.852
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4513
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3349
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6698
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1744.8652
UserCPU time millis
46.875
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
46.875
Cross-validation details (10-fold Crossvalidation)