DEVELOPMENT... OpenML
Run
117155

Run 117155

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)_I80
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
0.9947
Per class
Build CPU time
58.8985
Build memory
469804906.692
F measure
0.9905
Per class
Kappa
0.9861
KB relative information score
827.3616
Mean absolute error
0.005
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
0.9905
Per class
Predictive accuracy
0.9905
Prior entropy
1.7898
Recall
0.9905
Per class
Relative absolute error
0.0146
Root mean prior squared error
0.4146
Root mean squared error
0.0694
Root relative squared error
0.1674
SciMark benchmark
937.9603