DEVELOPMENT... OpenML
Run
120511

Run 120511

Task 3808 (Supervised Classification) kidney Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I20
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.8316
Per class
Build CPU time
0.5106
Build memory
878733994.5263
F measure
0.7354
Per class
Kappa
0.4693
KB relative information score
36.4
Mean absolute error
0.2595
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
0.738
Per class
Predictive accuracy
0.7368
Prior entropy
0.9981
Recall
0.7368
Per class
Relative absolute error
0.5203
Root mean prior squared error
0.4993
Root mean squared error
0.4948
Root relative squared error
0.991
SciMark benchmark
942.3919