DEVELOPMENT... OpenML
Run
38115

Run 38115

Task 4310 (Supervised Classification) sleep 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)_I20
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
0.6884
Per class
Build CPU time
0.0504
Build memory
656037149.7935
F measure
0.6678
Per class
Kappa
0.3322
KB relative information score
205.6712
Mean absolute error
0.3322
Mean prior absolute error
0.498
Number of instances
620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6688
Per class
Predictive accuracy
0.6694
Prior entropy
0.9972
Recall
0.6694
Per class
Relative absolute error
0.6672
Root mean prior squared error
0.499
Root mean squared error
0.5675
Root relative squared error
1.1373
SciMark benchmark
939.9671