DEVELOPMENT... OpenML
Run
14287

Run 14287

Task 35 (Supervised Classification) dermatology Uploaded 22-05-2014 by Felicia West
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Flow

weka.Bagging_REPTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(1)_I70
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.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
0.9939
Per class
F measure
0.9285
Per class
Kappa
0.9106
KB relative information score
322.4521
Mean absolute error
0.0432
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
0.9309
Per class
Predictive accuracy
0.929
Prior entropy
2.4378
Recall
0.929
Per class
Relative absolute error
0.1622
Root mean prior squared error
0.3649
Root mean squared error
0.1313
Root relative squared error
0.36
SciMark benchmark
949.2288[573.00942554784851015.52310425331483.6674820550281915.62691531260941758.3172656914378]