Run
563172

Run 563172

Task 3507 (Supervised Classification) vehicle_sensIT Uploaded 18-04-2016 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_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
0.8857
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8602
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7218
Cross-validation details (10-fold Crossvalidation)
KB relative information score
57458.8809
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.228
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
98528
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_77, amd64, Linux, 3.10.0-327.10.1.el7.x86_64]
Precision
0.8679
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8609
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.8609
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.456
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3367
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6734
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
928.6076
UserCPU time millis
717920
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
6220
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
711700
Cross-validation details (10-fold Crossvalidation)