DEVELOPMENT... OpenML
Run
128999

Run 128999

Task 3675 (Supervised Classification) pbc 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)_I20
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
0.6568
Per class
Build CPU time
0.0235
Build memory
1981911279.9617
F measure
0.6273
Per class
Kappa
0.2453
KB relative information score
96.5807
Mean absolute error
0.3833
Mean prior absolute error
0.495
Number of instances
418
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6271
Per class
Predictive accuracy
0.6292
Prior entropy
0.9928
Recall
0.6292
Per class
Relative absolute error
0.7744
Root mean prior squared error
0.4975
Root mean squared error
0.5436
Root relative squared error
1.0928
SciMark benchmark
909.5718