Run
555772

Run 555772

Task 3657 (Supervised Classification) fri_c2_500_5 Uploaded 15-04-2016 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_HoeffdingTree (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_InfoGainAttributeEval_Ranker_HoeffdingTree(1)_Sweka.attributeSelection.Ranker
weka.AttributeSelectedClassifier_InfoGainAttributeEval_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
0.7384
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7956
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5819
Cross-validation details (10-fold Crossvalidation)
KB relative information score
159.4148
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3433
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4816
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_66, amd64, Windows 10, 10.0]
Precision
0.8026
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.794
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9735
Cross-validation details (10-fold Crossvalidation)
Recall
0.794
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7127
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4907
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4472
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9114
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1744.8652