DEVELOPMENT... OpenML
Run
117733

Run 117733

Task 3705 (Supervised Classification) autoHorse 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
0.9875
Per class
Build CPU time
2.4764
Build memory
204269965.6195
F measure
0.9804
Per class
Kappa
0.9594
KB relative information score
196.2912
Mean absolute error
0.0201
Mean prior absolute error
0.4821
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9806
Per class
Predictive accuracy
0.9805
Prior entropy
0.9742
Recall
0.9805
Per class
Relative absolute error
0.0416
Root mean prior squared error
0.4909
Root mean squared error
0.1398
Root relative squared error
0.2848
SciMark benchmark
924.2473