DEVELOPMENT... OpenML
Run
64105

Run 64105

Task 264 (Supervised Classification) postoperative-patient-data Uploaded 17-11-2014 by Felicia West
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Flow

weka.Bagging_LWL_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LWL_DecisionStump(2)_I160
weka.Bagging_LWL_DecisionStump(2)_P100
weka.Bagging_LWL_DecisionStump(2)_S1
weka.Bagging_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL
weka.Bagging_LWL_DecisionStump(2)_num-slots1
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.4943
Per class
Build CPU time
0.024
Build memory
75838384
F measure
0.6083
Per class
KB relative information score
-0.8214
Mean absolute error
0.2776
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
0.5244
Per class
Predictive accuracy
0.7241
Prior entropy
1.0305
Recall
0.7241
Per class
Relative absolute error
0.9919
Root mean prior squared error
0.3657
Root mean squared error
0.3772
Root relative squared error
1.0314
SciMark benchmark
946.5361