DEVELOPMENT... OpenML
Run
20158

Run 20158

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

weka.MultiBoostAB_J48(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.J48(1)_C0.25
weka.J48(1)_M2
weka.MultiBoostAB_J48(1)_C3
weka.MultiBoostAB_J48(1)_I20
weka.MultiBoostAB_J48(1)_P100
weka.MultiBoostAB_J48(1)_S1
weka.MultiBoostAB_J48(1)_Wweka.classifiers.trees.J48

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
0.3319
Per class
F measure
0.5523
Per class
Kappa
-0.1331
KB relative information score
-8.5482
Mean absolute error
0.2946
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
0.5103
Per class
Predictive accuracy
0.6111
Prior entropy
1.0305
Recall
0.6111
Per class
Relative absolute error
1.0264
Root mean prior squared error
0.3755
Root mean squared error
0.4885
Root relative squared error
1.301
SciMark benchmark
907.4225[559.23073532101811014.4538012229739482.7975877024999906.7589715622941573.8712646410706]