DEVELOPMENT... OpenML
Run
51489

Run 51489

Task 264 (Supervised Classification) postoperative-patient-data Uploaded 06-11-2014 by Felicia West
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Flow

weka.Bagging_LMT(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LMT(2)_I80
weka.Bagging_LMT(2)_P100
weka.Bagging_LMT(2)_S1
weka.Bagging_LMT(2)_Wweka.classifiers.trees.LMT
weka.Bagging_LMT(2)_num-slots1
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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.

21 Evaluation measures

Area under ROC curve
0.4417
Per class
Build CPU time
10.893
Build memory
56376760
F measure
0.5352
Per class
Kappa
-0.2254
KB relative information score
-6.8729
Mean absolute error
0.3274
Mean prior absolute error
0.2798
Number of instances
29
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4924
Per class
Predictive accuracy
0.5862
Prior entropy
1.0305
Recall
0.5862
Per class
Relative absolute error
1.1702
Root mean prior squared error
0.3657
Root mean squared error
0.4166
Root relative squared error
1.1391
SciMark benchmark
945.0883