DEVELOPMENT... OpenML
Run
128261

Run 128261

Task 3501 (Supervised Classification) white-clover 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
0.6908
Per class
Build CPU time
0.0039
Build memory
927291963.4286
F measure
0.6517
Per class
Kappa
0.3229
KB relative information score
12.1989
Mean absolute error
0.2224
Mean prior absolute error
0.2721
Number of instances
63
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6721
Per class
Predictive accuracy
0.6825
Prior entropy
1.4097
Recall
0.6825
Per class
Relative absolute error
0.8175
Root mean prior squared error
0.3647
Root mean squared error
0.3594
Root relative squared error
0.9855
SciMark benchmark
929.5397

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