DEVELOPMENT... OpenML
Run
131010

Run 131010

Task 3913 (Supervised Classification) kc2 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
0.6895
Per class
Build CPU time
0.2461
Build memory
843340493.5172
F measure
0.7823
Per class
Kappa
0.3229
KB relative information score
107.4513
Mean absolute error
0.2263
Mean prior absolute error
0.3266
Number of instances
522
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7796
Per class
Predictive accuracy
0.7854
Prior entropy
0.734
Recall
0.7854
Per class
Relative absolute error
0.6928
Root mean prior squared error
0.4037
Root mean squared error
0.4379
Root relative squared error
1.0846
SciMark benchmark
927.3354

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