DEVELOPMENT... OpenML
Run
111452

Run 111452

Task 2073 (Supervised Classification) yeast Uploaded 09-12-2014 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.

21 Evaluation measures

Area under ROC curve
0.7649
Per class
Build CPU time
4.4224
Build memory
636264291.5633
F measure
0.5865
Per class
Kappa
0.4724
KB relative information score
774.0495
Mean absolute error
0.0813
Mean prior absolute error
0.1555
Number of instances
1484
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5831
Per class
Predictive accuracy
0.593
Prior entropy
2.5035
Recall
0.593
Per class
Relative absolute error
0.5227
Root mean prior squared error
0.2787
Root mean squared error
0.2814
Root relative squared error
1.0098
SciMark benchmark
908.2898