DEVELOPMENT... OpenML
Run
8450

Run 8450

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 22-05-2014 by Felicia West
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Flow

weka.J48(1)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(1)_C0.1
weka.J48(1)_M5

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
0.4266
Per class
F measure
0.5911
Per class
KB relative information score
1.3852
Mean absolute error
0.2824
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
0.5057
Per class
Predictive accuracy
0.7111
Prior entropy
1.0305
Recall
0.7111
Per class
Relative absolute error
0.9838
Root mean prior squared error
0.3755
Root mean squared error
0.3762
Root relative squared error
1.0019
SciMark benchmark
909.8358[565.5773597381044853.3902107601785460.8334159479826912.75766683510371756.6204475653492]