DEVELOPMENT... OpenML
Run
130089

Run 130089

Task 3549 (Supervised Classification) analcatdata_authorship Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I80
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.9868
Per class
Build CPU time
0.3194
Build memory
1153891990.3258
F measure
0.8973
Per class
Kappa
0.8531
KB relative information score
616.8248
Mean absolute error
0.1191
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
0.9033
Per class
Predictive accuracy
0.9001
Prior entropy
1.7898
Recall
0.9001
Per class
Relative absolute error
0.3464
Root mean prior squared error
0.4146
Root mean squared error
0.2042
Root relative squared error
0.4926
SciMark benchmark
925.481