Run
553518

Run 553518

Task 3945 (Supervised Classification) KDDCup09_appetency Uploaded 10-04-2016 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_CfsSubsetEval_BestFirst_HoeffdingTree(3)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.CfsSubsetEval(5)_P1
weka.CfsSubsetEval(5)_E1
weka.BestFirst(4)_D1
weka.BestFirst(4)_N5
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_HoeffdingTree(3)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_HoeffdingTree(3)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_HoeffdingTree(3)_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
0.6752
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.963
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0815
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-156921.1859
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0597
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.035
Cross-validation details (10-fold Crossvalidation)
Number of instances
50000
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
0.9681
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9583
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.129
Cross-validation details (10-fold Crossvalidation)
Recall
0.9583
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.706
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1322
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2022
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.529
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1384.2635
UserCPU time millis
50610
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
110
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
50500
Cross-validation details (10-fold Crossvalidation)