OpenML
80957

Run 80957

Task 43 (Supervised Classification) spambase Uploaded 02-12-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_REPTree(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(3)_I20
weka.Bagging_REPTree(3)_P100
weka.Bagging_REPTree(3)_S1
weka.Bagging_REPTree(3)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(3)_num-slots1
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.9816
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
2.8931
Cross-validation details (10-fold Crossvalidation)
Build memory
2793750845.6666
Cross-validation details (10-fold Crossvalidation)
F measure
0.9423
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8788
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3649.7515
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1086
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4776
Cross-validation details (10-fold Crossvalidation)
Number of instances
4601
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9423
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9424
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9424
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2275
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.214
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4379
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
949.2096