DEVELOPMENT... OpenML
Run
118176

Run 118176

Task 3645 (Supervised Classification) fri_c1_500_25 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
0.932
Per class
Build CPU time
2.2475
Build memory
999192610.4
F measure
0.8579
Per class
Kappa
0.7144
KB relative information score
354.4012
Mean absolute error
0.1451
Mean prior absolute error
0.4977
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8579
Per class
Predictive accuracy
0.858
Prior entropy
0.9967
Recall
0.858
Per class
Relative absolute error
0.2916
Root mean prior squared error
0.4988
Root mean squared error
0.3572
Root relative squared error
0.716
SciMark benchmark
923.3659