DEVELOPMENT... OpenML
Run
134898

Run 134898

Task 3561 (Supervised Classification) profb 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)_I20
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
0.487
Per class
Build CPU time
0.0103
Build memory
1885164271.1191
F measure
0.5508
Per class
Kappa
-0.0331
KB relative information score
-39.4925
Mean absolute error
0.4497
Mean prior absolute error
0.4446
Number of instances
672
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5403
Per class
Predictive accuracy
0.567
Prior entropy
0.9188
Recall
0.567
Per class
Relative absolute error
1.0114
Root mean prior squared error
0.4714
Root mean squared error
0.6285
Root relative squared error
1.3332
SciMark benchmark
939.084