DEVELOPMENT... OpenML
Run
108418

Run 108418

Task 52 (Supervised Classification) heart-statlog Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_DecisionStump(2)_I160
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.8732
Per class
Build CPU time
0.1208
Build memory
350397852.8
F measure
0.7956
Per class
Kappa
0.5851
KB relative information score
149.4522
Mean absolute error
0.2245
Mean prior absolute error
0.4939
Number of instances
270
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7959
Per class
Predictive accuracy
0.7963
Prior entropy
0.9912
Recall
0.7963
Per class
Relative absolute error
0.4547
Root mean prior squared error
0.4969
Root mean squared error
0.392
Root relative squared error
0.7888
SciMark benchmark
873.8637