Run
51785

Run 51785

Task 1736 (Learning Curve) diabetes Uploaded 07-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_LADTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LADTree(2)_I10
weka.Bagging_LADTree(2)_P100
weka.Bagging_LADTree(2)_S1
weka.Bagging_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.Bagging_LADTree(2)_num-slots1
weka.LADTree(2)_B10

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
0.8401 ± 0.0352
Per class
Build CPU time
0.1351
Build memory
205836557.4
F measure
0.7663 ± 0.0491
Per class
Kappa
0.4785 ± 0.1128
KB relative information score
0.3374 ± 0.0485
Mean absolute error
0.3072 ± 0.0197
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7658 ± 0.046
Per class
Predictive accuracy
0.7708 ± 0.044
Prior entropy
0.9331 ± 0.0046
Recall
0.7708 ± 0.044
Per class
Relative absolute error
0.6759 ± 0.0429
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.3917 ± 0.0239
Root relative squared error
0.8217 ± 0.0495
SciMark benchmark
1638.2006