DEVELOPMENT... OpenML
Run
38922

Run 38922

Task 3631 (Supervised Classification) analcatdata_apnea2 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
0.9528
Per class
Build CPU time
0.1594
Build memory
1223133991.5621
F measure
0.9422
Per class
Kappa
0.7479
KB relative information score
324.0907
Mean absolute error
0.0573
Mean prior absolute error
0.2343
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
0.9416
Per class
Predictive accuracy
0.9432
Prior entropy
0.5744
Recall
0.9432
Per class
Relative absolute error
0.2445
Root mean prior squared error
0.3414
Root mean squared error
0.2354
Root relative squared error
0.6895
SciMark benchmark
942.9632