DEVELOPMENT... OpenML
Run
39730

Run 39730

Task 4568 (Supervised Classification) hypothyroid 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
0.992
Per class
Build CPU time
6.2305
Build memory
977834179.168
F measure
0.9969
Per class
Kappa
0.9781
KB relative information score
36476.4515
Mean absolute error
0.0031
Mean prior absolute error
0.1426
Number of instances
37720
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9969
Per class
Predictive accuracy
0.9969
Prior entropy
0.3928
Recall
0.9969
Per class
Relative absolute error
0.0221
Root mean prior squared error
0.2668
Root mean squared error
0.0556
Root relative squared error
0.2083
SciMark benchmark
938.0657