DEVELOPMENT... OpenML
Run
121625

Run 121625

Task 3820 (Supervised Classification) braziltourism 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
0.5985
Per class
Build CPU time
20.507
Build memory
144353237.6893
F measure
0.7177
Per class
Kappa
0.1838
KB relative information score
44.544
Mean absolute error
0.2763
Mean prior absolute error
0.3529
Number of instances
412
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7129
Per class
Predictive accuracy
0.7233
Prior entropy
0.7771
Recall
0.7233
Per class
Relative absolute error
0.7829
Root mean prior squared error
0.4196
Root mean squared error
0.521
Root relative squared error
1.2414
SciMark benchmark
935.1241