DEVELOPMENT... OpenML
Run
37967

Run 37967

Task 4531 (Supervised Classification) heart-h 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
0.8653
Per class
Build CPU time
0.158
Build memory
1125475271.2708
F measure
0.8175
Per class
Kappa
0.6018
KB relative information score
1736.0035
Mean absolute error
0.1826
Mean prior absolute error
0.4614
Number of instances
2940
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.817
Per class
Predictive accuracy
0.8187
Prior entropy
0.9439
Recall
0.8187
Per class
Relative absolute error
0.3957
Root mean prior squared error
0.4802
Root mean squared error
0.4146
Root relative squared error
0.8635
SciMark benchmark
939.9671