DEVELOPMENT... OpenML
Run
17224

Run 17224

Task 12 (Supervised Classification) mfeat-factors Uploaded 07-06-2014 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_RandomForest(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_RandomForest(1)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_RandomForest(1)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.BestFirst(1)_D1
weka.BestFirst(1)_N5
weka.CfsSubsetEval(1)_E1
weka.CfsSubsetEval(1)_P1
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

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
0.9961
Per class
F measure
0.9625
Per class
Kappa
0.9583
KB relative information score
1804.5893
Mean absolute error
0.032
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
0.9627
Per class
Predictive accuracy
0.9625
Prior entropy
3.3219
Recall
0.9625
Per class
Relative absolute error
0.1777
Root mean prior squared error
0.3
Root mean squared error
0.1005
Root relative squared error
0.335
SciMark benchmark
899.0778[563.74942385882411004.6689391273646470.11465046420597894.68939941059351562.1663688025542]