DEVELOPMENT... OpenML
Run
44222

Run 44222

Task 3633 (Supervised Classification) analcatdata_apnea1 Uploaded 29-10-2014 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)_I160
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
0.8883
Per class
Build CPU time
0.5606
Build memory
1205398162.3916
F measure
0.9373
Per class
Kappa
0.7132
KB relative information score
304.6901
Mean absolute error
0.0623
Mean prior absolute error
0.225
Number of instances
475
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9366
Per class
Predictive accuracy
0.9389
Prior entropy
0.5574
Recall
0.9389
Per class
Relative absolute error
0.277
Root mean prior squared error
0.3346
Root mean squared error
0.2463
Root relative squared error
0.7362
SciMark benchmark
945.8914