DEVELOPMENT... OpenML
Run
63291

Run 63291

Task 3859 (Supervised Classification) prnn_fglass 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)_I80
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
0.7819
Per class
Build CPU time
0.0106
Build memory
3241816594.7664
F measure
0.7397
Per class
Kappa
0.4217
KB relative information score
51.1553
Mean absolute error
0.3598
Mean prior absolute error
0.4584
Number of instances
214
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.741
Per class
Predictive accuracy
0.7477
Prior entropy
0.9397
Recall
0.7477
Per class
Relative absolute error
0.7849
Root mean prior squared error
0.4786
Root mean squared error
0.425
Root relative squared error
0.888
SciMark benchmark
941.5509

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