DEVELOPMENT... OpenML
Run
64465

Run 64465

Task 3705 (Supervised Classification) autoHorse 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
0.9885
Per class
Build CPU time
0.0265
Build memory
225934486.0878
F measure
0.9361
Per class
Kappa
0.8666
KB relative information score
154.0671
Mean absolute error
0.1344
Mean prior absolute error
0.4821
Number of instances
205
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.9379
Per class
Predictive accuracy
0.9366
Prior entropy
0.9742
Recall
0.9366
Per class
Relative absolute error
0.2788
Root mean prior squared error
0.4909
Root mean squared error
0.2134
Root relative squared error
0.4347
SciMark benchmark
909.6624

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