Run
564204

Run 564204

Task 3507 (Supervised Classification) vehicle_sensIT 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_HoeffdingTre e(1)Weka implementation of AttributeSelectedClassifier
weka.HoeffdingTree(4)_L2
weka.HoeffdingTree(4)_S1
weka.HoeffdingTree(4)_E1.0E-7
weka.HoeffdingTree(4)_H0.05
weka.HoeffdingTree(4)_M0.01
weka.HoeffdingTree(4)_G200.0
weka.HoeffdingTree(4)_N0.0
weka.Ranker(3)_T-1.7976931348623157E308
weka.Ranker(3)_N-1
weka.AttributeSelectedClassifier_GainRatioAttributeEval_Ranker_HoeffdingTree(1)_Sweka.attributeSelection.Ranker
weka.AttributeSelectedClassifier_GainRatioAttributeEval_Ranker_HoeffdingTree(1)_Wweka.classifiers.trees.HoeffdingTree

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
0.8076
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8063
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6179
Cross-validation details (10-fold Crossvalidation)
KB relative information score
57140.5001
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2154
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, 3.10.0-327.13.1.el7.x86_64]
Precision
0.8266
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8089
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.8089
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4307
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4232
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8464
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1118.9986
UserCPU time millis
77140
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
2250
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
74890
Cross-validation details (10-fold Crossvalidation)