DEVELOPMENT... OpenML
Run
118784

Run 118784

Task 3742 (Supervised Classification) fri_c4_100_10 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
0.8633
Per class
Build CPU time
0.0733
Build memory
777277686.4
F measure
0.759
Per class
Kappa
0.5159
KB relative information score
52.7938
Mean absolute error
0.2349
Mean prior absolute error
0.4982
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7605
Per class
Predictive accuracy
0.76
Prior entropy
0.9975
Recall
0.76
Per class
Relative absolute error
0.4716
Root mean prior squared error
0.4991
Root mean squared error
0.4594
Root relative squared error
0.9205
SciMark benchmark
923.3659