DEVELOPMENT... OpenML
Run
53012

Run 53012

Task 27 (Supervised Classification) colic Uploaded 07-11-2014 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)_I80
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
0.8861
Per class
Build CPU time
34.42
Build memory
1709212281.2174
F measure
0.8445
Per class
Kappa
0.665
KB relative information score
204.719
Mean absolute error
0.2129
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8442
Per class
Predictive accuracy
0.8451
Prior entropy
0.9509
Recall
0.8451
Per class
Relative absolute error
0.4568
Root mean prior squared error
0.4827
Root mean squared error
0.3463
Root relative squared error
0.7174
SciMark benchmark
890.4487

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