Run
539708

Run 539708

Task 3658 (Supervised Classification) fri_c3_250_10 Uploaded 22-03-2016 by Martijn Post
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • study_15 study_20 weka weka_3.7.13
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
0.675
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6231
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2402
Cross-validation details (10-fold Crossvalidation)
KB relative information score
42.2704
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4203
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4968
Cross-validation details (10-fold Crossvalidation)
Number of instances
250
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 7, 6.1]
Precision
0.6228
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.624
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9955
Cross-validation details (10-fold Crossvalidation)
Recall
0.624
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8459
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4984
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4877
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9785
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1732.2066
UserCPU time millis
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10-fold Crossvalidation)