DEVELOPMENT... OpenML
Run
112361

Run 112361

Task 3812 (Supervised Classification) arsenic-female-bladder Uploaded 09-12-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_J48(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_J48(2)_I40
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.6395
Per class
Build CPU time
0.0871
Build memory
1874714514.2183
F measure
0.8264
Per class
Kappa
0.2849
KB relative information score
69.6599
Mean absolute error
0.1717
Mean prior absolute error
0.2462
Number of instances
559
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8247
Per class
Predictive accuracy
0.8283
Prior entropy
0.5956
Recall
0.8283
Per class
Relative absolute error
0.6976
Root mean prior squared error
0.3502
Root mean squared error
0.4144
Root relative squared error
1.1834
SciMark benchmark
934.2858