DEVELOPMENT... OpenML
Run
112632

Run 112632

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

weka.AdaBoostM1_J48(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_J48(2)_I20
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.7021
Per class
Build CPU time
0.071
Build memory
1317580144
F measure
0.7515
Per class
Kappa
0.2998
KB relative information score
28.6094
Mean absolute error
0.0726
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
0.7569
Per class
Predictive accuracy
0.763
Prior entropy
1.1781
Recall
0.763
Per class
Relative absolute error
0.6579
Root mean prior squared error
0.2325
Root mean squared error
0.26
Root relative squared error
1.1184
SciMark benchmark
934.2858