DEVELOPMENT... OpenML
Run
62579

Run 62579

Task 3612 (Supervised Classification) fri_c1_250_25 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
0.7966
Per class
Build CPU time
0.0098
Build memory
291628871.2
F measure
0.7141
Per class
Kappa
0.4138
KB relative information score
50.76
Mean absolute error
0.4063
Mean prior absolute error
0.4897
Number of instances
250
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.7141
Per class
Predictive accuracy
0.716
Prior entropy
0.9852
Recall
0.716
Per class
Relative absolute error
0.8296
Root mean prior squared error
0.4948
Root mean squared error
0.4362
Root relative squared error
0.8816
SciMark benchmark
1248.2043