DEVELOPMENT... OpenML
Run
37722

Run 37722

Task 1932 (Supervised Classification) heart-statlog 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
0.8657
Per class
Build CPU time
0.2657
Build memory
566176024.08
F measure
0.8063
Per class
Kappa
0.6071
KB relative information score
1636.3088
Mean absolute error
0.1935
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
0.8063
Per class
Predictive accuracy
0.8067
Prior entropy
0.9912
Recall
0.8067
Per class
Relative absolute error
0.3919
Root mean prior squared error
0.4969
Root mean squared error
0.429
Root relative squared error
0.8634
SciMark benchmark
942.9632