DEVELOPMENT... OpenML
Run
118425

Run 118425

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

weka.AdaBoostM1_LADTree(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_LADTree(2)_I10
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.8456
Per class
Build CPU time
0.2695
Build memory
966472059.2
F measure
0.7855
Per class
Kappa
0.5664
KB relative information score
145.5083
Mean absolute error
0.2285
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
0.7861
Per class
Predictive accuracy
0.7852
Prior entropy
0.9912
Recall
0.7852
Per class
Relative absolute error
0.4627
Root mean prior squared error
0.4969
Root mean squared error
0.4392
Root relative squared error
0.8839
SciMark benchmark
937.6343