DEVELOPMENT... OpenML
Run
118122

Run 118122

Task 3605 (Supervised Classification) sleep Uploaded 10-12-2014 by Felicia West
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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)_I20
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
0.6682
Per class
Build CPU time
0.0596
Build memory
312808368.2581
F measure
0.6899
Per class
Kappa
0.378
KB relative information score
22.9631
Mean absolute error
0.3148
Mean prior absolute error
0.498
Number of instances
62
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6955
Per class
Predictive accuracy
0.6935
Prior entropy
0.9972
Recall
0.6935
Per class
Relative absolute error
0.6321
Root mean prior squared error
0.499
Root mean squared error
0.5513
Root relative squared error
1.1049
SciMark benchmark
944.4197