DEVELOPMENT... OpenML
Run
146805

Run 146805

Task 3890 (Supervised Classification) ada_prior Uploaded 01-02-2015 by Felicia West
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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)_I80
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.

22 Evaluation measures

Area under ROC curve
0.7692
Per class
F measure
0.8235
Per class
Kappa
0.518
KB relative information score
2201.8663
Mean absolute error
0.1725
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8214
Per class
Predictive accuracy
0.8273
Prior entropy
0.8085
Recall
0.8273
Per class
Relative absolute error
0.4622
Root mean prior squared error
0.4319
Root mean squared error
0.4127
Root relative squared error
0.9556
SciMark benchmark
943.6956
UserCPU time millis
12230
UserCPU time millis testing
340
UserCPU time millis training
11890