DEVELOPMENT... OpenML
Run
136133

Run 136133

Task 3612 (Supervised Classification) fri_c1_250_25 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)_I80
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
0.6394
Per class
Build CPU time
0.0065
Build memory
35635564
F measure
0.6449
Per class
Kappa
0.2772
KB relative information score
66.5838
Mean absolute error
0.356
Mean prior absolute error
0.4897
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6463
Per class
Predictive accuracy
0.644
Prior entropy
0.9852
Recall
0.644
Per class
Relative absolute error
0.727
Root mean prior squared error
0.4948
Root mean squared error
0.5967
Root relative squared error
1.2059
SciMark benchmark
874.2668