DEVELOPMENT... OpenML
Run
109324

Run 109324

Task 3549 (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)_I40
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
0.9978
Per class
Build CPU time
0.2553
Build memory
167450145.9405
F measure
0.9952
Per class
Kappa
0.9931
KB relative information score
832.5262
Mean absolute error
0.0043
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
0.9952
Per class
Predictive accuracy
0.9952
Prior entropy
1.7898
Recall
0.9952
Per class
Relative absolute error
0.0126
Root mean prior squared error
0.4146
Root mean squared error
0.0487
Root relative squared error
0.1175
SciMark benchmark
939.7233

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