DEVELOPMENT... OpenML
Run
6416

Run 6416

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 15-05-2014 by Felicia West
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Flow

weka.ClassificationViaRegression_M5P(1)E. Frank, Y. Wang, S. Inglis, G. Holmes, I.H. Witten (1998). Using model trees for classification. Machine Learning. 32(1):63-76.
weka.ClassificationViaRegression_M5P(1)_Wweka.classifiers.trees.M5P
weka.M5P(1)_M4.0

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
0.3643
Per class
F measure
0.5856
Per class
Kappa
-0.021
KB relative information score
-2.8835
Mean absolute error
0.2896
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
0.5034
Per class
Predictive accuracy
0.7
Prior entropy
1.0305
Recall
0.7
Per class
Relative absolute error
1.0087
Root mean prior squared error
0.3755
Root mean squared error
0.3899
Root relative squared error
1.0384
SciMark benchmark
915.7373[568.3416867865502889.6376299248609480.4214203123994880.26865865688031760.017229859821]