Run
565570

Run 565570

Task 3799 (Supervised Classification) fri_c3_500_10 Uploaded 19-04-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.6586
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6296
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2757
Cross-validation details (10-fold Crossvalidation)
KB relative information score
68.8278
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4314
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4961
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_77, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.6512
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.632
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9945
Cross-validation details (10-fold Crossvalidation)
Recall
0.632
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8696
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4981
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4775
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9586
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1262.727
UserCPU time millis
300
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
290
Cross-validation details (10-fold Crossvalidation)