Run
2351880

Run 2351880

Task 43 (Supervised Classification) spambase Uploaded 30-05-2017 by Miguel Cachada
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Flow

weka.MultiBoostAB_IBk(4)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.IBk(11)_K1
weka.IBk(11)_W0
weka.IBk(11)_Atrue
weka.MultiBoostAB_IBk(4)_C3
weka.MultiBoostAB_IBk(4)_P100
weka.MultiBoostAB_IBk(4)_S1
weka.MultiBoostAB_IBk(4)_I10
weka.MultiBoostAB_IBk(4)_Wweka.classifiers.lazy.IBk

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.

17 Evaluation measures

Area under ROC curve
0.9033
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.908
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8072
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3697.3929
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0919
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)
Precision
0.908
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9081
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9081
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1925
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3032
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6205
Cross-validation details (10-fold Crossvalidation)