Run
25429

Run 25429

Task 59 (Supervised Classification) iris Uploaded 18-08-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_REPTree(2)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_REPTree(2)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_REPTree(2)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.BestFirst(2)_D1
weka.BestFirst(2)_N5
weka.CfsSubsetEval(2)_E1
weka.CfsSubsetEval(2)_P1
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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.

21 Evaluation measures

Area under ROC curve
0.9741
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0003
Cross-validation details (10-fold Crossvalidation)
Build memory
440830921.6
Cross-validation details (10-fold Crossvalidation)
F measure
0.94
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.91
Cross-validation details (10-fold Crossvalidation)
KB relative information score
133.6935
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0579
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_55, x86_64, Mac OS X, 10.9.4]
Precision
0.9401
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.94
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.94
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1303
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1941
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4117
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1642.1848[989.92092788325771195.0108930124402639.13205804988731277.50484479555034109.35541686176]