DEVELOPMENT... OpenML
Run
39772

Run 39772

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)_I40
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
0.834
Per class
Build CPU time
0.0576
Build memory
1330664713.3684
F measure
0.8158
Per class
Kappa
0.6306
KB relative information score
47.8861
Mean absolute error
0.1842
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
0.3694
Root mean prior squared error
0.4993
Root mean squared error
0.4292
Root relative squared error
0.8596
SciMark benchmark
945.0342