DEVELOPMENT... OpenML
Run
118290

Run 118290

Task 3818 (Supervised Classification) tae 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
0.7302
Per class
Build CPU time
0.1092
Build memory
223916217.1656
F measure
0.7312
Per class
Kappa
0.4121
KB relative information score
57.8544
Mean absolute error
0.2682
Mean prior absolute error
0.4522
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7355
Per class
Predictive accuracy
0.7285
Prior entropy
0.9308
Recall
0.7285
Per class
Relative absolute error
0.5932
Root mean prior squared error
0.4752
Root mean squared error
0.4778
Root relative squared error
1.0056
SciMark benchmark
922.3661