DEVELOPMENT... OpenML
Run
130131

Run 130131

Task 3602 (Supervised Classification) visualizing_environmental 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
0.69
Per class
Build CPU time
0.0145
Build memory
1029760573.6216
F measure
0.6578
Per class
Kappa
0.315
KB relative information score
34.0745
Mean absolute error
0.3466
Mean prior absolute error
0.499
Number of instances
111
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6584
Per class
Predictive accuracy
0.6577
Prior entropy
0.9986
Recall
0.6577
Per class
Relative absolute error
0.6947
Root mean prior squared error
0.4995
Root mean squared error
0.5631
Root relative squared error
1.1273
SciMark benchmark
939.0159