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Run
9017

Run 9017

Task 52 (Supervised Classification) heart-statlog Uploaded 22-05-2014 by Felicia West
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Flow

weka.Bagging_REPTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(1)_I70
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
0.8903
Per class
F measure
0.8107
Per class
Kappa
0.6159
KB relative information score
124.1124
Mean absolute error
0.2841
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
0.8108
Per class
Predictive accuracy
0.8111
Prior entropy
0.9912
Recall
0.8111
Per class
Relative absolute error
0.5753
Root mean prior squared error
0.4969
Root mean squared error
0.3636
Root relative squared error
0.7317
SciMark benchmark
929.791[571.3202277287572924.6424691508148483.88543266528814907.38665814554741761.7203488120049]