Run
55394

Run 55394

Task 2102 (Learning Curve) eucalyptus Uploaded 11-11-2014 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
0.8947 ± 0.0105
Per class
Build CPU time
1.8684
Build memory
578625893.7
F measure
0.6556 ± 0.0253
Per class
Kappa
0.5605 ± 0.0343
KB relative information score
0.5033 ± 0.0237
Mean absolute error
0.1937 ± 0.007
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6796 ± 0.0309
Per class
Predictive accuracy
0.6617 ± 0.0279
Prior entropy
2.2621 ± 0.0043
Recall
0.6617 ± 0.0279
Per class
Relative absolute error
0.6185 ± 0.022
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3038 ± 0.01
Root relative squared error
0.7678 ± 0.0249
SciMark benchmark
1132.905