DEVELOPMENT... OpenML
Run
164355

Run 164355

Task 3820 (Supervised Classification) braziltourism Uploaded 17-02-2015 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)_I80
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
0.6957
Per class
F measure
0.7378
Per class
Kappa
0.1906
KB relative information score
133.5104
Mean absolute error
0.2121
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
0.7926
Per class
Predictive accuracy
0.7961
Prior entropy
0.7771
Recall
0.7961
Per class
Relative absolute error
0.6011
Root mean prior squared error
0.4196
Root mean squared error
0.4343
Root relative squared error
1.0349
SciMark benchmark
938.2848
UserCPU time millis
50
UserCPU time millis training
50