DEVELOPMENT... OpenML
Run
128367

Run 128367

Task 3641 (Supervised Classification) fri_c2_100_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)_I10
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
0.8566
Per class
Build CPU time
0.0058
Build memory
500092191.2
F measure
0.7903
Per class
Kappa
0.5728
KB relative information score
57.1846
Mean absolute error
0.208
Mean prior absolute error
0.4904
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7907
Per class
Predictive accuracy
0.79
Prior entropy
0.9864
Recall
0.79
Per class
Relative absolute error
0.4241
Root mean prior squared error
0.4951
Root mean squared error
0.4138
Root relative squared error
0.8359
SciMark benchmark
943.5504