DEVELOPMENT... OpenML
Run
136791

Run 136791

Task 3676 (Supervised Classification) rmftsa_ctoarrivals 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
0.9316
Per class
Build CPU time
0.0035
Build memory
917794543.1818
F measure
0.9321
Per class
Kappa
0.8568
KB relative information score
224.8409
Mean absolute error
0.0682
Mean prior absolute error
0.4726
Number of instances
264
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9327
Per class
Predictive accuracy
0.9318
Prior entropy
0.9604
Recall
0.9318
Per class
Relative absolute error
0.1443
Root mean prior squared error
0.486
Root mean squared error
0.2611
Root relative squared error
0.5373
SciMark benchmark
926.507