DEVELOPMENT... OpenML
Run
116644

Run 116644

Task 3635 (Supervised Classification) fri_c1_250_50 Uploaded 09-12-2014 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)_I160
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
0.892
Per class
Build CPU time
16.856
Build memory
1027697066.4
F measure
0.8917
Per class
Kappa
0.7811
KB relative information score
194.5322
Mean absolute error
0.1098
Mean prior absolute error
0.4954
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8922
Per class
Predictive accuracy
0.892
Prior entropy
0.9934
Recall
0.892
Per class
Relative absolute error
0.2216
Root mean prior squared error
0.4977
Root mean squared error
0.329
Root relative squared error
0.661
SciMark benchmark
934.8107