DEVELOPMENT... OpenML
Run
117297

Run 117297

Task 3820 (Supervised Classification) braziltourism Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I80
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.6916
Per class
Build CPU time
3.0846
Build memory
954758192.835
F measure
0.7332
Per class
Kappa
0.2146
KB relative information score
63.2354
Mean absolute error
0.2604
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
0.7253
Per class
Predictive accuracy
0.7451
Prior entropy
0.7771
Recall
0.7451
Per class
Relative absolute error
0.7377
Root mean prior squared error
0.4196
Root mean squared error
0.4722
Root relative squared error
1.1252
SciMark benchmark
924.2473