DEVELOPMENT... OpenML
Run
118219

Run 118219

Task 3719 (Supervised Classification) fishcatch 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)_I20
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
0.9626
Per class
Build CPU time
0.2356
Build memory
231241907.7468
F measure
0.9559
Per class
Kappa
0.9083
KB relative information score
143.2591
Mean absolute error
0.0434
Mean prior absolute error
0.4797
Number of instances
158
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9567
Per class
Predictive accuracy
0.9557
Prior entropy
0.971
Recall
0.9557
Per class
Relative absolute error
0.0905
Root mean prior squared error
0.4896
Root mean squared error
0.2063
Root relative squared error
0.4214
SciMark benchmark
942.5053