DEVELOPMENT... OpenML
Run
130495

Run 130495

Task 250 (Supervised Classification) mfeat-pixel 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)_I160
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
0.5648
Per class
Build CPU time
0.031
Build memory
1153807544
F measure
0.1199
Per class
Kappa
0.1299
KB relative information score
118.2976
Mean absolute error
0.157
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1182
Per class
Predictive accuracy
0.2152
Prior entropy
3.3219
Recall
0.2152
Per class
Relative absolute error
0.8721
Root mean prior squared error
0.3
Root mean squared error
0.3962
Root relative squared error
1.3206
SciMark benchmark
939.0159