DEVELOPMENT... OpenML
Run
130055

Run 130055

Task 3495 (Supervised Classification) SPECT 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
0.8035
Per class
Build CPU time
0.01
Build memory
662921182.8914
F measure
0.7977
Per class
Kappa
0.3617
KB relative information score
41.6808
Mean absolute error
0.2477
Mean prior absolute error
0.3284
Number of instances
267
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.793
Per class
Predictive accuracy
0.8052
Prior entropy
0.738
Recall
0.8052
Per class
Relative absolute error
0.7543
Root mean prior squared error
0.4044
Root mean squared error
0.3606
Root relative squared error
0.8917
SciMark benchmark
916.8903