DEVELOPMENT... OpenML
Run
62657

Run 62657

Task 50 (Supervised Classification) heart-h Uploaded 16-11-2014 by Felicia West
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Flow

weka.Bagging_LWL_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LWL_DecisionStump(2)_I40
weka.Bagging_LWL_DecisionStump(2)_P100
weka.Bagging_LWL_DecisionStump(2)_S1
weka.Bagging_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.Bagging_LWL_DecisionStump(2)_num-slots1
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_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
0.8866
Per class
Build CPU time
0.0067
Build memory
48037217.4422
F measure
0.8062
Per class
Kappa
0.5747
KB relative information score
114.7907
Mean absolute error
0.1137
Mean prior absolute error
0.1867
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8069
Per class
Predictive accuracy
0.8095
Prior entropy
1.0314
Recall
0.8095
Per class
Relative absolute error
0.6089
Root mean prior squared error
0.3037
Root mean squared error
0.2319
Root relative squared error
0.7636
SciMark benchmark
943.8359