DEVELOPMENT... OpenML
Run
48975

Run 48975

Task 1711 (Learning Curve) mfeat-factors Uploaded 06-11-2014 by Jason
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • study_2 study_37 weka weka_3.7.12-SNAPSHOT
Issue #Downvotes for this reason By


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)_I10
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
0.9885 ± 0.0067
Per class
Build CPU time
3.138
Build memory
1662789320.1455
F measure
0.9433 ± 0.0191
Per class
Kappa
0.9372 ± 0.021
KB relative information score
0.9368 ± 0.0186
Mean absolute error
0.0146 ± 0.0045
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9436 ± 0.0186
Per class
Predictive accuracy
0.9435 ± 0.0189
Prior entropy
3.3219
Recall
0.9435 ± 0.0189
Per class
Relative absolute error
0.0814 ± 0.0252
Root mean prior squared error
0.3
Root mean squared error
0.0977 ± 0.016
Root relative squared error
0.3258 ± 0.0533
SciMark benchmark
1684.48