Run
52139

Run 52139

Task 1719 (Learning Curve) mfeat-pixel 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
0.987 ± 0.0055
Per class
Build CPU time
89.4245
Build memory
215766139.1273
F measure
0.8855 ± 0.0291
Per class
Kappa
0.8728 ± 0.032
KB relative information score
0.7852 ± 0.0167
Mean absolute error
0.065 ± 0.0029
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8864 ± 0.0252
Per class
Predictive accuracy
0.8855 ± 0.0288
Prior entropy
3.3219
Recall
0.8855 ± 0.0288
Per class
Relative absolute error
0.361 ± 0.0163
Root mean prior squared error
0.3
Root mean squared error
0.1483 ± 0.0077
Root relative squared error
0.4942 ± 0.0257
SciMark benchmark
1629.4508