DEVELOPMENT... OpenML
Run
134486

Run 134486

Task 3781 (Supervised Classification) fri_c4_250_50 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)_I10
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
0.6185
Per class
Build CPU time
0.0035
Build memory
1569366606.4
F measure
0.6203
Per class
Kappa
0.2366
KB relative information score
58.2436
Mean absolute error
0.38
Mean prior absolute error
0.4968
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
0.6208
Per class
Predictive accuracy
0.62
Prior entropy
0.9955
Recall
0.62
Per class
Relative absolute error
0.7649
Root mean prior squared error
0.4984
Root mean squared error
0.6164
Root relative squared error
1.2368
SciMark benchmark
939.084