DEVELOPMENT... OpenML
Run
118657

Run 118657

Task 3594 (Supervised Classification) analcatdata_supreme 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
0.9993
Per class
Build CPU time
2.7461
Build memory
673194062.0079
F measure
0.9933
Per class
Kappa
0.9816
KB relative information score
3956.1314
Mean absolute error
0.0082
Mean prior absolute error
0.3645
Number of instances
4052
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9933
Per class
Predictive accuracy
0.9933
Prior entropy
0.7946
Recall
0.9933
Per class
Relative absolute error
0.0225
Root mean prior squared error
0.4269
Root mean squared error
0.0747
Root relative squared error
0.175
SciMark benchmark
924.2473