Run
561005

Run 561005

Task 3728 (Supervised Classification) sleuth_ex2015 Uploaded 16-04-2016 by Martijn Post
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_InfoGainAttributeEval_Ranker_MultilayerPer ceptron(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_InfoGainAttributeEval_Ranker_MultilayerPerceptron(1)_Sweka.attributeSelection.Ranker
weka.AttributeSelectedClassifier_InfoGainAttributeEval_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
0.7082
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6986
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3898
Cross-validation details (10-fold Crossvalidation)
KB relative information score
21.7791
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3212
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4952
Cross-validation details (10-fold Crossvalidation)
Number of instances
60
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.6989
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9932
Cross-validation details (10-fold Crossvalidation)
Recall
0.7
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6487
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4975
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.482
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.969
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1925.3565
UserCPU time millis
15.625
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
15.625
Cross-validation details (10-fold Crossvalidation)