DEVELOPMENT... OpenML
Run
11000

Run 11000

Task 50 (Supervised Classification) heart-h Uploaded 22-05-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_REPTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(1)_I90
weka.Bagging_REPTree(1)_P100
weka.Bagging_REPTree(1)_S1
weka.Bagging_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(1)_num-slots1
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8836
Per class
F measure
0.8025
Per class
Kappa
0.5661
KB relative information score
123.2434
Mean absolute error
0.106
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
0.8034
Per class
Predictive accuracy
0.8061
Prior entropy
1.0314
Recall
0.8061
Per class
Relative absolute error
0.5678
Root mean prior squared error
0.3037
Root mean squared error
0.228
Root relative squared error
0.7507
SciMark benchmark
884.1713[568.1565726151606933.6021738915075483.6674820550281917.54984135276211517.8802829516492]