DEVELOPMENT... OpenML
Run
120637

Run 120637

Task 52 (Supervised Classification) heart-statlog Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I40
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.832
Per class
Build CPU time
5.4481
Build memory
1475076056
F measure
0.7989
Per class
Kappa
0.5916
KB relative information score
159.6571
Mean absolute error
0.2005
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
0.8
Per class
Predictive accuracy
0.8
Prior entropy
0.9912
Recall
0.8
Per class
Relative absolute error
0.406
Root mean prior squared error
0.4969
Root mean squared error
0.4432
Root relative squared error
0.8919
SciMark benchmark
937.279