DEVELOPMENT... OpenML
Run
38909

Run 38909

Task 3630 (Supervised Classification) analcatdata_apnea3 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
0.9349
Per class
Build CPU time
0.145
Build memory
650018044
F measure
0.9388
Per class
Kappa
0.709
KB relative information score
277.8988
Mean absolute error
0.0627
Mean prior absolute error
0.2158
Number of instances
450
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.938
Per class
Predictive accuracy
0.94
Prior entropy
0.5405
Recall
0.94
Per class
Relative absolute error
0.2907
Root mean prior squared error
0.3275
Root mean squared error
0.242
Root relative squared error
0.7387
SciMark benchmark
938.0657