DEVELOPMENT... OpenML
Run
38946

Run 38946

Task 3633 (Supervised Classification) analcatdata_apnea1 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
0.9376
Per class
Build CPU time
0.1422
Build memory
85827850.8632
F measure
0.9451
Per class
Kappa
0.7453
KB relative information score
336.6223
Mean absolute error
0.051
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
0.9451
Per class
Predictive accuracy
0.9474
Prior entropy
0.5574
Recall
0.9474
Per class
Relative absolute error
0.2268
Root mean prior squared error
0.3346
Root mean squared error
0.2182
Root relative squared error
0.6523
SciMark benchmark
941.2105