DEVELOPMENT... OpenML
Run
133004

Run 133004

Task 2124 (Supervised Classification) braziltourism Uploaded 27-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I20
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.7477
Per class
Build CPU time
0.143
Build memory
1347953616
F measure
0.7329
Per class
Kappa
0.2402
KB relative information score
17.3696
Mean absolute error
0.0918
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
0.7559
Per class
Predictive accuracy
0.7556
Prior entropy
1.1781
Recall
0.7556
Per class
Relative absolute error
0.8317
Root mean prior squared error
0.2325
Root mean squared error
0.2257
Root relative squared error
0.971
SciMark benchmark
945.5885