DEVELOPMENT... OpenML
Run
113230

Run 113230

Task 3057 (Supervised Classification) SPECTF 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)_I10
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
0.8969
Per class
Build CPU time
0.098
Build memory
503965624
F measure
0.8802
Per class
Kappa
0.7129
KB relative information score
78.6189
Mean absolute error
0.1235
Mean prior absolute error
0.4035
Number of instances
115
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8845
Per class
Predictive accuracy
0.8783
Prior entropy
0.8464
Recall
0.8783
Per class
Relative absolute error
0.3062
Root mean prior squared error
0.4525
Root mean squared error
0.3479
Root relative squared error
0.7688
SciMark benchmark
902.712