DEVELOPMENT... OpenML
Run
125095

Run 125095

Task 20 (Supervised Classification) mfeat-pixel Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_NaiveBayes(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_NaiveBayes(2)_I160
weka.AdaBoostM1_NaiveBayes(2)_P100
weka.AdaBoostM1_NaiveBayes(2)_S1
weka.AdaBoostM1_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

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
0.9625
Per class
Build CPU time
60.2088
Build memory
901247254.4
F measure
0.9271
Per class
Kappa
0.9194
KB relative information score
1848.2189
Mean absolute error
0.0146
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9283
Per class
Predictive accuracy
0.9275
Prior entropy
3.3219
Recall
0.9275
Per class
Relative absolute error
0.0809
Root mean prior squared error
0.3
Root mean squared error
0.1203
Root relative squared error
0.4011
SciMark benchmark
937.9119