DEVELOPMENT... OpenML
Run
59636

Run 59636

Task 3873 (Supervised Classification) dermatology Uploaded 15-11-2014 by Felicia West
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Flow

weka.Bagging_LMT(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LMT(2)_I10
weka.Bagging_LMT(2)_P100
weka.Bagging_LMT(2)_S1
weka.Bagging_LMT(2)_Wweka.classifiers.trees.LMT
weka.Bagging_LMT(2)_num-slots1
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

21 Evaluation measures

Area under ROC curve
1
Per class
Build CPU time
2.8405
Build memory
75283269.5301
F measure
1
Per class
Kappa
1
KB relative information score
340.3688
Mean absolute error
0.0378
Mean prior absolute error
0.4251
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
1
Per class
Predictive accuracy
1
Prior entropy
0.8898
Recall
1
Per class
Relative absolute error
0.089
Root mean prior squared error
0.4608
Root mean squared error
0.0729
Root relative squared error
0.1583
SciMark benchmark
939.4026