DEVELOPMENT... OpenML
Run
121426

Run 121426

Task 3597 (Supervised Classification) baskball Uploaded 11-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I80
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.6852
Per class
Build CPU time
3.1279
Build memory
1433615256.3333
F measure
0.6458
Per class
Kappa
0.292
KB relative information score
28.3318
Mean absolute error
0.3521
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
0.6464
Per class
Predictive accuracy
0.6458
Prior entropy
0.9997
Recall
0.6458
Per class
Relative absolute error
0.7045
Root mean prior squared error
0.4999
Root mean squared error
0.5892
Root relative squared error
1.1787
SciMark benchmark
937.6343