DEVELOPMENT... OpenML
Run
23271

Run 23271

Task 35 (Supervised Classification) dermatology Uploaded 24-06-2014 by Felicia West
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(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_REPTree(1)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_REPTree(1)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.BestFirst(1)_D1
weka.BestFirst(1)_N5
weka.CfsSubsetEval(1)_E1
weka.CfsSubsetEval(1)_P1
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9657
Per class
F measure
0.9119
Per class
Kappa
0.89
KB relative information score
318.1057
Mean absolute error
0.0396
Mean prior absolute error
0.2664
Number of instances
366
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9129
Per class
Predictive accuracy
0.9126
Prior entropy
2.4378
Recall
0.9126
Per class
Relative absolute error
0.1486
Root mean prior squared error
0.3649
Root mean squared error
0.1608
Root relative squared error
0.4407
SciMark benchmark
941.9149[553.55145265954061010.9942233373424479.5631527489585904.880888052811760.5845701777503]