DEVELOPMENT... OpenML
Run
130160

Run 130160

Task 3634 (Supervised Classification) fri_c3_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)_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
0.8467
Per class
Build CPU time
0.0552
Build memory
1183803744
F measure
0.7404
Per class
Kappa
0.4769
KB relative information score
49.3682
Mean absolute error
0.2476
Mean prior absolute error
0.4951
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
0.7414
Per class
Predictive accuracy
0.74
Prior entropy
0.9931
Recall
0.74
Per class
Relative absolute error
0.5001
Root mean prior squared error
0.4975
Root mean squared error
0.4822
Root relative squared error
0.9692
SciMark benchmark
925.481