Run
55336

Run 55336

Task 1742 (Learning Curve) spambase Uploaded 10-11-2014 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
Issue #Downvotes for this reason By


Flow

weka.Bagging_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_DecisionStump(2)_I10
weka.Bagging_DecisionStump(2)_P100
weka.Bagging_DecisionStump(2)_S1
weka.Bagging_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.Bagging_DecisionStump(2)_num-slots1

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
0.8703 ± 0.0158
Per class
Build CPU time
0.0504
Build memory
233675448.4
F measure
0.7806 ± 0.0215
Per class
Kappa
0.5355 ± 0.0432
KB relative information score
0.3663 ± 0.0203
Mean absolute error
0.3217 ± 0.0076
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7994 ± 0.0226
Per class
Predictive accuracy
0.7905 ± 0.0217
Prior entropy
0.9674 ± 0.0006
Recall
0.7905 ± 0.0217
Per class
Relative absolute error
0.6737 ± 0.0161
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.3736 ± 0.011
Root relative squared error
0.7645 ± 0.0227
SciMark benchmark
1814.8577