DEVELOPMENT... OpenML
Run
130459

Run 130459

Task 38 (Supervised Classification) ecoli 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)_I160
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
0.897
Per class
Build CPU time
0.0128
Build memory
1579783406.2619
F measure
0.6489
Per class
Kappa
0.5506
KB relative information score
48.1983
Mean absolute error
0.1774
Mean prior absolute error
0.1828
Number of instances
336
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6352
Per class
Predictive accuracy
0.6875
Prior entropy
2.2353
Recall
0.6875
Per class
Relative absolute error
0.9706
Root mean prior squared error
0.3016
Root mean squared error
0.276
Root relative squared error
0.915
SciMark benchmark
939.0159