DEVELOPMENT... OpenML
Run
34175

Run 34175

Task 1799 (Supervised Classification) dermatology Uploaded 18-10-2014 by Felicia West
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Flow

weka.Bagging_JRip(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(2)_I80
weka.Bagging_JRip(2)_P100
weka.Bagging_JRip(2)_S1
weka.Bagging_JRip(2)_Wweka.classifiers.rules.JRip
weka.Bagging_JRip(2)_num-slots1
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.9952
Per class
Build CPU time
0.6514
Build memory
2293984487.2
F measure
0.9196
Per class
Kappa
0.8987
KB relative information score
1503.5631
Mean absolute error
0.0713
Mean prior absolute error
0.2664
Number of instances
1830
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9246
Per class
Predictive accuracy
0.9191
Prior entropy
2.4378
Recall
0.9191
Per class
Relative absolute error
0.2675
Root mean prior squared error
0.3649
Root mean squared error
0.1508
Root relative squared error
0.4132
SciMark benchmark
942.7013