DEVELOPMENT... OpenML
Run
116601

Run 116601

Task 3598 (Supervised Classification) fri_c0_250_50 Uploaded 09-12-2014 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)_I160
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
0.8217
Per class
Build CPU time
15.1405
Build memory
989849947.2
F measure
0.8038
Per class
Kappa
0.6058
KB relative information score
150.513
Mean absolute error
0.198
Mean prior absolute error
0.498
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8039
Per class
Predictive accuracy
0.804
Prior entropy
0.9971
Recall
0.804
Per class
Relative absolute error
0.3976
Root mean prior squared error
0.499
Root mean squared error
0.4402
Root relative squared error
0.8822
SciMark benchmark
937.9603