DEVELOPMENT... OpenML
Run
120874

Run 120874

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)_I40
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
0.7034
Per class
Build CPU time
1.6974
Build memory
324681069.0833
F measure
0.6355
Per class
Kappa
0.2708
KB relative information score
25.8112
Mean absolute error
0.3651
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
0.6356
Per class
Predictive accuracy
0.6354
Prior entropy
0.9997
Recall
0.6354
Per class
Relative absolute error
0.7304
Root mean prior squared error
0.4999
Root mean squared error
0.5943
Root relative squared error
1.1889
SciMark benchmark
939.0159