DEVELOPMENT... OpenML
Run
129311

Run 129311

Task 270 (Supervised Classification) glass 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)_I40
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
0.7527
Per class
Build CPU time
0.004
Build memory
1619470824
F measure
0.55
Per class
Kappa
0.4379
KB relative information score
4.8618
Mean absolute error
0.2281
Mean prior absolute error
0.2127
Number of instances
70
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5148
Per class
Predictive accuracy
0.6
Prior entropy
2.2315
Recall
0.6
Per class
Relative absolute error
1.0728
Root mean prior squared error
0.3261
Root mean squared error
0.3288
Root relative squared error
1.0083
SciMark benchmark
937.9119