Run
57087

Run 57087

Task 1705 (Learning Curve) letter Uploaded 12-11-2014 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
0.9322 ± 0.0032
Per class
Build CPU time
50.9382
Build memory
1032736386.7556
F measure
0.5461 ± 0.0091
Per class
Kappa
0.5391 ± 0.0078
KB relative information score
0.5112 ± 0.0055
Mean absolute error
0.0548 ± 0.0004
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.5641 ± 0.0137
Per class
Predictive accuracy
0.5569 ± 0.0075
Prior entropy
4.6998 ± 0.0001
Recall
0.5569 ± 0.0075
Per class
Relative absolute error
0.7412 ± 0.005
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.1563 ± 0.0008
Root relative squared error
0.813 ± 0.0041
SciMark benchmark
1910.4834