DEVELOPMENT... OpenML
Run
119009

Run 119009

Task 3890 (Supervised Classification) ada_prior 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
0.88
Per class
Build CPU time
36.2496
Build memory
1156657263.2004
F measure
0.836
Per class
Kappa
0.5495
KB relative information score
1891.3178
Mean absolute error
0.2063
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8345
Per class
Predictive accuracy
0.8409
Prior entropy
0.8085
Recall
0.8409
Per class
Relative absolute error
0.5529
Root mean prior squared error
0.4319
Root mean squared error
0.3419
Root relative squared error
0.7916
SciMark benchmark
934.2858