DEVELOPMENT... OpenML
Run
110075

Run 110075

Task 3833 (Supervised Classification) analcatdata_authorship Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(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_IBk(2)_I80
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.9954
Per class
Build CPU time
0.4937
Build memory
80664434.0547
F measure
0.9952
Per class
Kappa
0.9899
KB relative information score
830.4132
Mean absolute error
0.0061
Mean prior absolute error
0.4698
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
0.9952
Per class
Predictive accuracy
0.9952
Prior entropy
0.9561
Recall
0.9952
Per class
Relative absolute error
0.0129
Root mean prior squared error
0.4846
Root mean squared error
0.0689
Root relative squared error
0.1421
SciMark benchmark
941.1411