DEVELOPMENT... OpenML
Run
134201

Run 134201

Task 2124 (Supervised Classification) braziltourism Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I10
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.65
Per class
Build CPU time
0.018
Build memory
1102198408
F measure
0.7221
Per class
Kappa
0.2401
KB relative information score
21.8949
Mean absolute error
0.0788
Mean prior absolute error
0.1103
Number of instances
135
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7302
Per class
Predictive accuracy
0.7259
Prior entropy
1.1781
Recall
0.7259
Per class
Relative absolute error
0.7142
Root mean prior squared error
0.2325
Root mean squared error
0.277
Root relative squared error
1.1916
SciMark benchmark
946.9091