DEVELOPMENT... OpenML
Run
129478

Run 129478

Task 3540 (Supervised Classification) analcatdata_boxing1 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)_I40
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
0.8748
Per class
Build CPU time
0.0076
Build memory
1334701849.6
F measure
0.8176
Per class
Kappa
0.6014
KB relative information score
69.1163
Mean absolute error
0.1896
Mean prior absolute error
0.4557
Number of instances
120
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.819
Per class
Predictive accuracy
0.8167
Prior entropy
0.9362
Recall
0.8167
Per class
Relative absolute error
0.4161
Root mean prior squared error
0.477
Root mean squared error
0.37
Root relative squared error
0.7758
SciMark benchmark
916.8903