DEVELOPMENT... OpenML
Run
52894

Run 52894

Task 1728 (Learning Curve) credit-approval Uploaded 07-11-2014 by Jason
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_LADTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
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
0.9164 ± 0.051
Per class
Build CPU time
0.3138
Build memory
3697260826.4
F measure
0.8607 ± 0.0503
Per class
Kappa
0.7178 ± 0.1028
KB relative information score
0.6849 ± 0.0929
Mean absolute error
0.159 ± 0.0448
Mean prior absolute error
0.494 ± 0.0008
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8607 ± 0.0502
Per class
Predictive accuracy
0.8609 ± 0.0498
Prior entropy
0.9912 ± 0.0022
Recall
0.8609 ± 0.0498
Per class
Relative absolute error
0.3218 ± 0.091
Root mean prior squared error
0.497 ± 0.0008
Root mean squared error
0.3381 ± 0.0648
Root relative squared error
0.6803 ± 0.131
SciMark benchmark
1629.4508