DEVELOPMENT... OpenML
Run
129704

Run 129704

Task 3798 (Supervised Classification) fri_c1_250_10 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
0.8749
Per class
Build CPU time
0.0453
Build memory
239185915.2
F measure
0.7961
Per class
Kappa
0.5864
KB relative information score
144.7735
Mean absolute error
0.2063
Mean prior absolute error
0.4929
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7962
Per class
Predictive accuracy
0.796
Prior entropy
0.9898
Recall
0.796
Per class
Relative absolute error
0.4185
Root mean prior squared error
0.4964
Root mean squared error
0.4314
Root relative squared error
0.869
SciMark benchmark
916.8903