DEVELOPMENT... OpenML
Run
120453

Run 120453

Task 3737 (Supervised Classification) fri_c3_250_50 Uploaded 10-12-2014 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)_I20
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
0.8439
Per class
Build CPU time
9.6817
Build memory
703301278.4
F measure
0.7641
Per class
Kappa
0.5196
KB relative information score
129.851
Mean absolute error
0.2343
Mean prior absolute error
0.4908
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7643
Per class
Predictive accuracy
0.764
Prior entropy
0.9868
Recall
0.764
Per class
Relative absolute error
0.4774
Root mean prior squared error
0.4954
Root mean squared error
0.4622
Root relative squared error
0.9331
SciMark benchmark
930.5854