DEVELOPMENT... OpenML
Run
135624

Run 135624

Task 3705 (Supervised Classification) autoHorse 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
0.9503
Per class
Build CPU time
0.0025
Build memory
2160571063.0244
F measure
0.9412
Per class
Kappa
0.8776
KB relative information score
181.0754
Mean absolute error
0.0554
Mean prior absolute error
0.4821
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9417
Per class
Predictive accuracy
0.9415
Prior entropy
0.9742
Recall
0.9415
Per class
Relative absolute error
0.1149
Root mean prior squared error
0.4909
Root mean squared error
0.2261
Root relative squared error
0.4606
SciMark benchmark
934.6076