Run
522700

Run 522700

Task 43 (Supervised Classification) spambase Uploaded 09-02-2016 by Rafael Gomes Mantovani
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Flow

classif.cforest(6)Learner classif.cforest from package(s) party.
classif.cforest(6)_seed1
classif.cforest(6)_kindMersenne-Twister
classif.cforest(6)_normal.kindInversion

Result files

Description

XML file describing the run, including user-defined evaluation measures.

Predictions

ARFF file with instance-level predictions generated by the model.

20 Evaluation measures

Area under ROC curve
0.9184
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9285
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8494
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3904.5672
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0709
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
0.9301
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9291
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9291
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1484
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2662
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5447
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
363.155
UserCPU time millis testing
83.326
UserCPU time millis training
279.829