DEVELOPMENT... OpenML
Run
58092

Run 58092

Task 29 (Supervised Classification) credit-approval Uploaded 14-11-2014 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)_I40
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
0.9183
Per class
Build CPU time
20.5267
Build memory
148193580
F measure
0.8538
Per class
Kappa
0.7045
KB relative information score
434.2975
Mean absolute error
0.1914
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.8543
Per class
Predictive accuracy
0.8536
Prior entropy
0.9913
Recall
0.8536
Per class
Relative absolute error
0.3875
Root mean prior squared error
0.497
Root mean squared error
0.329
Root relative squared error
0.662
SciMark benchmark
1317.1509