DEVELOPMENT... OpenML
Run
118923

Run 118923

Task 3916 (Supervised Classification) kc1-binary 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)_I10
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
0.8157
Per class
Build CPU time
0.9606
Build memory
251514239.0621
F measure
0.7451
Per class
Kappa
0.4753
KB relative information score
66.7518
Mean absolute error
0.2593
Mean prior absolute error
0.4853
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7455
Per class
Predictive accuracy
0.7448
Prior entropy
0.979
Recall
0.7448
Per class
Relative absolute error
0.5343
Root mean prior squared error
0.4925
Root mean squared error
0.4836
Root relative squared error
0.9818
SciMark benchmark
937.279