Run
54129

Run 54129

Task 1742 (Learning Curve) spambase Uploaded 08-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_RandomForest(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(2)_I10
weka.Bagging_RandomForest(2)_P100
weka.Bagging_RandomForest(2)_S1
weka.Bagging_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.Bagging_RandomForest(2)_num-slots1
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(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
0.9871 ± 0.0037
Per class
Build CPU time
3.4372
Build memory
2226952192.2857
F measure
0.9531 ± 0.0105
Per class
Kappa
0.9016 ± 0.022
KB relative information score
0.795 ± 0.0146
Mean absolute error
0.1102 ± 0.0067
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
0.9533 ± 0.0106
Per class
Predictive accuracy
0.9533 ± 0.0105
Prior entropy
0.9674 ± 0.0006
Recall
0.9533 ± 0.0105
Per class
Relative absolute error
0.2308 ± 0.014
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.1995 ± 0.013
Root relative squared error
0.4082 ± 0.0266
SciMark benchmark
1615.5755