DEVELOPMENT... OpenML
Run
22779

Run 22779

Task 35 (Supervised Classification) dermatology Uploaded 22-06-2014 by Felicia West
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Flow

weka.Bagging_BFTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1
weka.Bagging_BFTree(1)_I10
weka.Bagging_BFTree(1)_P100
weka.Bagging_BFTree(1)_S1
weka.Bagging_BFTree(1)_Wweka.classifiers.trees.BFTree
weka.Bagging_BFTree(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
0.9924
Per class
F measure
0.9591
Per class
Kappa
0.9486
KB relative information score
343.8118
Mean absolute error
0.0221
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
0.9598
Per class
Predictive accuracy
0.959
Prior entropy
2.4378
Recall
0.959
Per class
Relative absolute error
0.0829
Root mean prior squared error
0.3649
Root mean squared error
0.1043
Root relative squared error
0.286
SciMark benchmark
948.0468[555.6676246942531014.9881711071126488.5085743230882913.07556704216551767.9939646936223]