DEVELOPMENT... OpenML
Run
135726

Run 135726

Task 3820 (Supervised Classification) braziltourism Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I40
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.6112
Per class
Build CPU time
0.0871
Build memory
1954235277.8252
F measure
0.711
Per class
Kappa
0.1507
KB relative information score
45.8256
Mean absolute error
0.2733
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
0.7021
Per class
Predictive accuracy
0.7233
Prior entropy
0.7771
Recall
0.7233
Per class
Relative absolute error
0.7744
Root mean prior squared error
0.4196
Root mean squared error
0.5153
Root relative squared error
1.228
SciMark benchmark
934.6076