DEVELOPMENT... OpenML
Run
109774

Run 109774

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

weka.AdaBoostM1_IBk(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_IBk(2)_I80
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.6179
Per class
Build CPU time
0.025
Build memory
268741104
F measure
0.6956
Per class
Kappa
0.1903
KB relative information score
13.5165
Mean absolute error
0.0886
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
0.6897
Per class
Predictive accuracy
0.7037
Prior entropy
1.1781
Recall
0.7037
Per class
Relative absolute error
0.8031
Root mean prior squared error
0.2325
Root mean squared error
0.2875
Root relative squared error
1.2367
SciMark benchmark
934.2858