DEVELOPMENT... OpenML
Run
62945

Run 62945

Task 3808 (Supervised Classification) kidney Uploaded 16-11-2014 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)_I40
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
0.8243
Per class
Build CPU time
0.0042
Build memory
1291586459.1579
F measure
0.6836
Per class
Kappa
0.3719
KB relative information score
21.2799
Mean absolute error
0.3697
Mean prior absolute error
0.4987
Number of instances
76
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6915
Per class
Predictive accuracy
0.6842
Prior entropy
0.9981
Recall
0.6842
Per class
Relative absolute error
0.7414
Root mean prior squared error
0.4993
Root mean squared error
0.4255
Root relative squared error
0.8523
SciMark benchmark
929.2431