DEVELOPMENT... OpenML
Run
39364

Run 39364

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)_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
0.8477
Per class
Build CPU time
0.4755
Build memory
806888394.72
F measure
0.8049
Per class
Kappa
0.6044
KB relative information score
1630.785
Mean absolute error
0.1945
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
0.8048
Per class
Predictive accuracy
0.8052
Prior entropy
0.9912
Recall
0.8052
Per class
Relative absolute error
0.3939
Root mean prior squared error
0.4969
Root mean squared error
0.4338
Root relative squared error
0.873
SciMark benchmark
940.0668