DEVELOPMENT... OpenML
Run
129648

Run 129648

Task 3734 (Supervised Classification) fri_c1_500_5 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
0.9036
Per class
Build CPU time
0.0627
Build memory
1094552150.4
F measure
0.8095
Per class
Kappa
0.6169
KB relative information score
307.6584
Mean absolute error
0.1912
Mean prior absolute error
0.4977
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8102
Per class
Predictive accuracy
0.81
Prior entropy
0.9967
Recall
0.81
Per class
Relative absolute error
0.3841
Root mean prior squared error
0.4988
Root mean squared error
0.4144
Root relative squared error
0.8308
SciMark benchmark
916.8903