DEVELOPMENT... OpenML
Run
136924

Run 136924

Task 3827 (Supervised Classification) pasture 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
0.625
Per class
Build CPU time
0.0035
Build memory
553066480
F measure
0.6914
Per class
Kappa
0.2857
KB relative information score
12.4641
Mean absolute error
0.2778
Mean prior absolute error
0.4474
Number of instances
36
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7111
Per class
Predictive accuracy
0.7222
Prior entropy
0.9268
Recall
0.7222
Per class
Relative absolute error
0.6209
Root mean prior squared error
0.4715
Root mean squared error
0.527
Root relative squared error
1.1178
SciMark benchmark
907.1899