DEVELOPMENT... OpenML
Run
117683

Run 117683

Task 3646 (Supervised Classification) rabe_265 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)_I40
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
0.6841
Per class
Build CPU time
0.1491
Build memory
255634426.3529
F measure
0.626
Per class
Kappa
0.2254
KB relative information score
11.3701
Mean absolute error
0.3715
Mean prior absolute error
0.485
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.625
Per class
Predictive accuracy
0.6275
Prior entropy
0.9791
Recall
0.6275
Per class
Relative absolute error
0.7659
Root mean prior squared error
0.4922
Root mean squared error
0.6046
Root relative squared error
1.2284
SciMark benchmark
902.712