DEVELOPMENT... OpenML
Run
58132

Run 58132

Task 1768 (Supervised Classification) labor 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
0.9645
Per class
Build CPU time
0.4073
Build memory
135170087.214
F measure
0.8896
Per class
Kappa
0.755
KB relative information score
155.0859
Mean absolute error
0.2287
Mean prior absolute error
0.457
Number of instances
285
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.891
Per class
Predictive accuracy
0.8912
Prior entropy
0.9393
Recall
0.8912
Per class
Relative absolute error
0.5003
Root mean prior squared error
0.4773
Root mean squared error
0.2914
Root relative squared error
0.6105
SciMark benchmark
1306.6944