DEVELOPMENT... OpenML
Run
21854

Run 21854

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 20-06-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I10
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.5003
Per class
F measure
0.5451
Per class
Kappa
-0.1325
KB relative information score
-5.0353
Mean absolute error
0.2821
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
0.5184
Per class
Predictive accuracy
0.5778
Prior entropy
1.0305
Recall
0.5778
Per class
Relative absolute error
0.9828
Root mean prior squared error
0.3755
Root mean squared error
0.5216
Root relative squared error
1.389
SciMark benchmark
910.0636[553.7271705372895989.450586616758440.05811427035763844.2640849909631722.8180447611192]