DEVELOPMENT... OpenML
Run
61687

Run 61687

Task 3494 (Supervised Classification) monks-problems-3 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
0.9826
Per class
Build CPU time
0.0029
Build memory
969911053.3141
F measure
0.9639
Per class
Kappa
0.9278
KB relative information score
392.639
Mean absolute error
0.1703
Mean prior absolute error
0.4992
Number of instances
554
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.9646
Per class
Predictive accuracy
0.9639
Prior entropy
0.9989
Recall
0.9639
Per class
Relative absolute error
0.3412
Root mean prior squared error
0.4996
Root mean squared error
0.2354
Root relative squared error
0.4712
SciMark benchmark
1212.2248