DEVELOPMENT... OpenML
Run
130311

Run 130311

Task 3804 (Supervised Classification) lowbwt 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
0.8855
Per class
Build CPU time
0.032
Build memory
446479667.6825
F measure
0.8248
Per class
Kappa
0.6488
KB relative information score
119.5281
Mean absolute error
0.1858
Mean prior absolute error
0.4989
Number of instances
189
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8266
Per class
Predictive accuracy
0.8254
Prior entropy
0.9984
Recall
0.8254
Per class
Relative absolute error
0.3724
Root mean prior squared error
0.4994
Root mean squared error
0.3853
Root relative squared error
0.7716
SciMark benchmark
916.8903