DEVELOPMENT... OpenML
Run
61671

Run 61671

Task 3672 (Supervised Classification) kin8nm 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)_I20
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
0.8155
Per class
Build CPU time
0.0254
Build memory
630541506.3223
F measure
0.6902
Per class
Kappa
0.3956
KB relative information score
1791.9833
Mean absolute error
0.4063
Mean prior absolute error
0.4998
Number of instances
8192
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.7169
Per class
Predictive accuracy
0.6963
Prior entropy
0.9998
Recall
0.6963
Per class
Relative absolute error
0.8128
Root mean prior squared error
0.4999
Root mean squared error
0.4462
Root relative squared error
0.8925
SciMark benchmark
824.2652