DEVELOPMENT... OpenML
Run
40735

Run 40735

Task 1932 (Supervised Classification) heart-statlog 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)_I80
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
0.8261
Per class
Build CPU time
0.8684
Build memory
1661385850.48
F measure
0.8013
Per class
Kappa
0.597
KB relative information score
1606.9149
Mean absolute error
0.199
Mean prior absolute error
0.4939
Number of instances
2700
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8014
Per class
Predictive accuracy
0.8019
Prior entropy
0.9912
Recall
0.8019
Per class
Relative absolute error
0.4029
Root mean prior squared error
0.4969
Root mean squared error
0.4414
Root relative squared error
0.8884
SciMark benchmark
946.2416