DEVELOPMENT... OpenML
Run
57220

Run 57220

Task 2094 (Learning Curve) adult Uploaded 12-11-2014 by Jason
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
Issue #Downvotes for this reason By


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
0.8917 ± 0.0039
Per class
Build CPU time
8.9603
Build memory
1563056693.76
F measure
0.8377 ± 0.0045
Per class
Kappa
0.5456 ± 0.0118
KB relative information score
0.407 ± 0.0107
Mean absolute error
0.2029 ± 0.0026
Mean prior absolute error
0.3641 ± 0
Number of instances
48842
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8359 ± 0.0045
Per class
Predictive accuracy
0.8413 ± 0.0052
Prior entropy
0.7938 ± 0.0002
Recall
0.8413 ± 0.0052
Per class
Relative absolute error
0.5573 ± 0.0072
Root mean prior squared error
0.4266 ± 0.0001
Root mean squared error
0.3343 ± 0.0041
Root relative squared error
0.7835 ± 0.0097
SciMark benchmark
1732.6592