DEVELOPMENT... OpenML
Run
118579

Run 118579

Task 3055 (Supervised Classification) monks-problems-3 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)_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
0.992
Per class
Build CPU time
0.266
Build memory
266832392
F measure
0.9781
Per class
Kappa
0.9552
KB relative information score
173.7047
Mean absolute error
0.0191
Mean prior absolute error
0.4967
Number of instances
182
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9791
Per class
Predictive accuracy
0.978
Prior entropy
0.9989
Recall
0.978
Per class
Relative absolute error
0.0385
Root mean prior squared error
0.4971
Root mean squared error
0.1175
Root relative squared error
0.2364
SciMark benchmark
913.3372