DEVELOPMENT... OpenML
Run
136910

Run 136910

Task 3808 (Supervised Classification) kidney 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
0.8556
Per class
Build CPU time
0.0054
Build memory
987990454.1053
F measure
0.8553
Per class
Kappa
0.7101
KB relative information score
53.9087
Mean absolute error
0.1447
Mean prior absolute error
0.4987
Number of instances
76
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8557
Per class
Predictive accuracy
0.8553
Prior entropy
0.9981
Recall
0.8553
Per class
Relative absolute error
0.2903
Root mean prior squared error
0.4993
Root mean squared error
0.3804
Root relative squared error
0.7619
SciMark benchmark
927.1482

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