DEVELOPMENT... OpenML
Run
162500

Run 162500

Task 2078 (Supervised Classification) braziltourism Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I20
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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.

22 Evaluation measures

Area under ROC curve
0.5361
Per class
F measure
0.6851
Per class
Kappa
0.0702
KB relative information score
-276.2959
Mean absolute error
0.1831
Mean prior absolute error
0.1103
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
0.6194
Per class
Predictive accuracy
0.7718
Prior entropy
1.1781
Recall
0.7718
Per class
Relative absolute error
1.6594
Root mean prior squared error
0.2325
Root mean squared error
0.2784
Root relative squared error
1.1977
SciMark benchmark
938.2848

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