DEVELOPMENT... OpenML
Run
32988

Run 32988

Task 1799 (Supervised Classification) dermatology Uploaded 14-10-2014 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)_I160
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
0.9954
Per class
Build CPU time
1.2753
Build memory
494430118.4
F measure
0.9169
Per class
Kappa
0.8952
KB relative information score
1505.4652
Mean absolute error
0.0711
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
0.9214
Per class
Predictive accuracy
0.9164
Prior entropy
2.4378
Recall
0.9164
Per class
Relative absolute error
0.2669
Root mean prior squared error
0.3649
Root mean squared error
0.1503
Root relative squared error
0.4119
SciMark benchmark
949.7536