DEVELOPMENT... OpenML
Run
118265

Run 118265

Task 3785 (Supervised Classification) fri_c2_100_50 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
0.9197
Per class
Build CPU time
0.699
Build memory
925444021.6
F measure
0.8894
Per class
Kappa
0.772
KB relative information score
77.6842
Mean absolute error
0.1078
Mean prior absolute error
0.4875
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
0.8904
Per class
Predictive accuracy
0.89
Prior entropy
0.9822
Recall
0.89
Per class
Relative absolute error
0.2212
Root mean prior squared error
0.4936
Root mean squared error
0.3134
Root relative squared error
0.635
SciMark benchmark
908.8705