DEVELOPMENT... OpenML
Run
49006

Run 49006

Task 1702 (Learning Curve) kr-vs-kp Uploaded 06-11-2014 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_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)_I10
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
0.9681 ± 0.0087
Per class
Build CPU time
0.0112
Build memory
2990080553.1333
F measure
0.9261 ± 0.0121
Per class
Kappa
0.8518 ± 0.0242
KB relative information score
0.6775 ± 0.0241
Mean absolute error
0.1813 ± 0.0119
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9266 ± 0.0119
Per class
Predictive accuracy
0.9262 ± 0.012
Prior entropy
0.9986 ± 0.0002
Recall
0.9262 ± 0.012
Per class
Relative absolute error
0.3634 ± 0.0238
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.259 ± 0.0131
Root relative squared error
0.5184 ± 0.0263
SciMark benchmark
1655.4655