DEVELOPMENT... OpenML
Run
130396

Run 130396

Task 3898 (Supervised Classification) kc1-top5 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
0.5543
Per class
Build CPU time
0.1537
Build memory
1487540787.3655
F measure
0.9111
Per class
Kappa
-0.0226
KB relative information score
14.3499
Mean absolute error
0.068
Mean prior absolute error
0.1096
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.892
Per class
Predictive accuracy
0.931
Prior entropy
0.3323
Recall
0.931
Per class
Relative absolute error
0.6204
Root mean prior squared error
0.2284
Root mean squared error
0.2592
Root relative squared error
1.1351
SciMark benchmark
925.481