DEVELOPMENT... OpenML
Run
58360

Run 58360

Task 1799 (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)_I20
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
0.9976
Per class
Build CPU time
10.837
Build memory
802177012
F measure
0.9625
Per class
Kappa
0.9528
KB relative information score
1702.2395
Mean absolute error
0.0273
Mean prior absolute error
0.2664
Number of instances
1830
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.9632
Per class
Predictive accuracy
0.9623
Prior entropy
2.4378
Recall
0.9623
Per class
Relative absolute error
0.1023
Root mean prior squared error
0.3649
Root mean squared error
0.1019
Root relative squared error
0.2792
SciMark benchmark
849.4341