DEVELOPMENT... OpenML
Run
113598

Run 113598

Task 9 (Supervised Classification) autos Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_JRip(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_JRip(2)_I10
weka.AdaBoostM1_JRip(2)_P100
weka.AdaBoostM1_JRip(2)_S1
weka.AdaBoostM1_JRip(2)_Wweka.classifiers.rules.JRip
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

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
0.9502
Per class
Build CPU time
0.2592
Build memory
1070649092.3317
F measure
0.8153
Per class
Kappa
0.7574
KB relative information score
158.4179
Mean absolute error
0.0519
Mean prior absolute error
0.2209
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8188
Per class
Predictive accuracy
0.8146
Prior entropy
2.3268
Recall
0.8146
Per class
Relative absolute error
0.2351
Root mean prior squared error
0.3318
Root mean squared error
0.2158
Root relative squared error
0.6504
SciMark benchmark
934.2858