DEVELOPMENT... OpenML
Run
130359

Run 130359

Task 3854 (Supervised Classification) car 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
0.9914
Per class
Build CPU time
0.1418
Build memory
1195821098.9676
F measure
0.9515
Per class
Kappa
0.8848
KB relative information score
1422.3453
Mean absolute error
0.0773
Mean prior absolute error
0.4199
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9517
Per class
Predictive accuracy
0.9514
Prior entropy
0.8813
Recall
0.9514
Per class
Relative absolute error
0.1841
Root mean prior squared error
0.4582
Root mean squared error
0.1835
Root relative squared error
0.4004
SciMark benchmark
925.481

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