DEVELOPMENT... OpenML
Run
15646

Run 15646

Task 18 (Supervised Classification) mfeat-morphological Uploaded 04-06-2014 by Felicia West
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Bagging_REPTree(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Bagging_REPTree(1)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Bagging_REPTree(1)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Bagging_REPTree(1)_Wweka.classifiers.meta.Bagging
weka.Bagging_REPTree(1)_I10
weka.Bagging_REPTree(1)_P100
weka.Bagging_REPTree(1)_S1
weka.Bagging_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(1)_num-slots1
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
0.9605
Per class
F measure
0.707
Per class
Kappa
0.6761
KB relative information score
1503.6648
Mean absolute error
0.0679
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7074
Per class
Predictive accuracy
0.7085
Prior entropy
3.3219
Recall
0.7085
Per class
Relative absolute error
0.377
Root mean prior squared error
0.3
Root mean squared error
0.1881
Root relative squared error
0.6269
SciMark benchmark
944.8458[563.38522762117461013.919993711725473.0140233577209912.75766683510371761.152276377127]

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