DEVELOPMENT... OpenML
Run
117630

Run 117630

Task 3549 (Supervised Classification) analcatdata_authorship 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)_I40
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
0.9973
Per class
Build CPU time
33.311
Build memory
841888185.7598
F measure
0.9917
Per class
Kappa
0.9879
KB relative information score
830.661
Mean absolute error
0.004
Mean prior absolute error
0.3439
Number of instances
841
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9917
Per class
Predictive accuracy
0.9917
Prior entropy
1.7898
Recall
0.9917
Per class
Relative absolute error
0.0117
Root mean prior squared error
0.4146
Root mean squared error
0.0609
Root relative squared error
0.147
SciMark benchmark
902.712