DEVELOPMENT... OpenML
Run
152767

Run 152767

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 10-02-2015 by Felicia West
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Flow

weka.RandomCommittee_RandomTree(2)Weka implementation of RandomCommittee
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001
weka.RandomCommittee_RandomTree(2)_S1
weka.RandomCommittee_RandomTree(2)_num-slots1
weka.RandomCommittee_RandomTree(2)_I10
weka.RandomCommittee_RandomTree(2)_Wweka.classifiers.trees.RandomTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.4392
Per class
F measure
0.5509
Per class
Kappa
-0.1084
KB relative information score
-9.0674
Mean absolute error
0.2958
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
0.5014
Per class
Predictive accuracy
0.6111
Prior entropy
1.0305
Recall
0.6111
Per class
Relative absolute error
1.0305
Root mean prior squared error
0.3755
Root mean squared error
0.4691
Root relative squared error
1.2493
SciMark benchmark
902.4773