DEVELOPMENT... OpenML
Run
136824

Run 136824

Task 3718 (Supervised Classification) boston Uploaded 31-12-2014 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)_I160
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
0.8326
Per class
Build CPU time
0.0079
Build memory
1036137344.7747
F measure
0.8362
Per class
Kappa
0.6629
KB relative information score
332.4894
Mean absolute error
0.164
Mean prior absolute error
0.4849
Number of instances
506
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8367
Per class
Predictive accuracy
0.836
Prior entropy
0.9782
Recall
0.836
Per class
Relative absolute error
0.3383
Root mean prior squared error
0.4924
Root mean squared error
0.405
Root relative squared error
0.8226
SciMark benchmark
915.3856