DEVELOPMENT... OpenML
Run
59641

Run 59641

Task 35 (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
0.9982
Per class
Build CPU time
10.9271
Build memory
1264829688.3716
F measure
0.9808
Per class
Kappa
0.9761
KB relative information score
348.6119
Mean absolute error
0.0184
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
0.9809
Per class
Predictive accuracy
0.9809
Prior entropy
2.4378
Recall
0.9809
Per class
Relative absolute error
0.0689
Root mean prior squared error
0.3649
Root mean squared error
0.0846
Root relative squared error
0.2319
SciMark benchmark
941.5509