DEVELOPMENT... OpenML
Run
118669

Run 118669

Task 3613 (Supervised Classification) servo 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
0.9688
Per class
Build CPU time
0.1264
Build memory
613624326.515
F measure
0.9218
Per class
Kappa
0.7765
KB relative information score
125.7922
Mean absolute error
0.0753
Mean prior absolute error
0.3533
Number of instances
167
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9215
Per class
Predictive accuracy
0.9222
Prior entropy
0.7794
Recall
0.9222
Per class
Relative absolute error
0.2131
Root mean prior squared error
0.4193
Root mean squared error
0.2699
Root relative squared error
0.6436
SciMark benchmark
924.2473