DEVELOPMENT... OpenML
Run
107535

Run 107535

Task 2124 (Supervised Classification) braziltourism Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_BFTree(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_BFTree(2)_I40
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

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
0.6466
Per class
Build CPU time
2.273
Build memory
1910177224
F measure
0.7202
Per class
Kappa
0.2356
KB relative information score
24.9853
Mean absolute error
0.0769
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
0.7094
Per class
Predictive accuracy
0.7333
Prior entropy
1.1781
Recall
0.7333
Per class
Relative absolute error
0.6969
Root mean prior squared error
0.2325
Root mean squared error
0.2719
Root relative squared error
1.1695
SciMark benchmark
949.8157