DEVELOPMENT... OpenML
Run
38182

Run 38182

Task 3808 (Supervised Classification) kidney Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I20
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.8306
Per class
Build CPU time
0.0256
Build memory
279063269.5789
F measure
0.8158
Per class
Kappa
0.6306
KB relative information score
47.592
Mean absolute error
0.1867
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
0.8158
Per class
Predictive accuracy
0.8158
Prior entropy
0.9981
Recall
0.8158
Per class
Relative absolute error
0.3745
Root mean prior squared error
0.4993
Root mean squared error
0.4295
Root relative squared error
0.8602
SciMark benchmark
943.1654