DEVELOPMENT... OpenML
Run
118770

Run 118770

Task 3726 (Supervised Classification) sleuth_ex2016 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
0.7468
Per class
Build CPU time
0.0609
Build memory
554666820.9655
F measure
0.6547
Per class
Kappa
0.3084
KB relative information score
27.7571
Mean absolute error
0.3388
Mean prior absolute error
0.4994
Number of instances
87
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.655
Per class
Predictive accuracy
0.6552
Prior entropy
0.9992
Recall
0.6552
Per class
Relative absolute error
0.6784
Root mean prior squared error
0.4997
Root mean squared error
0.5625
Root relative squared error
1.1256
SciMark benchmark
923.3659