Run
51774

Run 51774

Task 1701 (Learning Curve) anneal 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
0.9933 ± 0.0093
Per class
Build CPU time
0.8602
Build memory
294583706.0444
F measure
0.9765 ± 0.0056
Per class
Kappa
0.944 ± 0.0267
KB relative information score
0.8666 ± 0.0176
Mean absolute error
0.0267 ± 0.0022
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9781 ± 0.0049
Per class
Predictive accuracy
0.9777 ± 0.0105
Prior entropy
1.1915 ± 0.026
Recall
0.9777 ± 0.0105
Per class
Relative absolute error
0.199 ± 0.0171
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.0834 ± 0.0064
Root relative squared error
0.323 ± 0.0253
SciMark benchmark
1629.4508