DEVELOPMENT... OpenML
Run
20813

Run 20813

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 18-06-2014 by Felicia West
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Flow

weka.LWL_RandomForest(1)Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. In: 19th Conference in Uncertainty in Artificial Intelligence, 249-256, 2003. C. Atkeson, A. Moore, S. Schaal (1996). Locally weighted learning. AI Review..
weka.LWL_RandomForest(1)_Atrue
weka.LWL_RandomForest(1)_K-1
weka.LWL_RandomForest(1)_U0
weka.LWL_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

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
0.4837
Per class
F measure
0.5355
Per class
Kappa
-0.1633
KB relative information score
-6.3087
Mean absolute error
0.2857
Mean prior absolute error
0.2871
Number of instances
90
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5013
Per class
Predictive accuracy
0.5778
Prior entropy
1.0305
Recall
0.5778
Per class
Relative absolute error
0.9952
Root mean prior squared error
0.3755
Root mean squared error
0.4626
Root relative squared error
1.2321
SciMark benchmark
935.8229[560.30860489012831012.3219999497024437.1913228999793909.27509318503251760.017229859821]