DEVELOPMENT... OpenML
Run
130141

Run 130141

Task 3612 (Supervised Classification) fri_c1_250_25 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
0.8803
Per class
Build CPU time
0.1701
Build memory
1228389949.6
F measure
0.8437
Per class
Kappa
0.6803
KB relative information score
169.2381
Mean absolute error
0.1567
Mean prior absolute error
0.4897
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
0.8436
Per class
Predictive accuracy
0.844
Prior entropy
0.9852
Recall
0.844
Per class
Relative absolute error
0.32
Root mean prior squared error
0.4948
Root mean squared error
0.3847
Root relative squared error
0.7775
SciMark benchmark
939.0159