DEVELOPMENT... OpenML
Run
111579

Run 111579

Task 3597 (Supervised Classification) baskball 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
0.6231
Per class
Build CPU time
0.0033
Build memory
1123648177
F measure
0.6353
Per class
Kappa
0.2702
KB relative information score
17.4989
Mean absolute error
0.4154
Mean prior absolute error
0.4998
Number of instances
96
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6353
Per class
Predictive accuracy
0.6354
Prior entropy
0.9997
Recall
0.6354
Per class
Relative absolute error
0.8311
Root mean prior squared error
0.4999
Root mean squared error
0.537
Root relative squared error
1.0742
SciMark benchmark
916.8516