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- === Run information ===
- Scheme: weka.classifiers.bayes.NaiveBayes
- Relation: bank_CSV
- Instances: 4119
- Attributes: 21
- age
- job
- marital
- education
- default
- housing
- loan
- contact
- month
- day_of_week
- duration
- campaign
- pdays
- previous
- poutcome
- emp.var.rate
- cons.price.idx
- cons.conf.idx
- euribor3m
- nr.employed
- y
- Test mode: evaluate on training data
- === Classifier model (full training set) ===
- Naive Bayes Classifier
- Class
- Attribute no yes
- (0.89) (0.11)
- ============================================
- age
- mean 39.8768 41.8645
- std. dev. 9.9207 13.3244
- weight sum 3668 451
- precision 1.0606 1.0606
- job
- blue-collar 824.0 62.0
- services 359.0 36.0
- admin. 880.0 134.0
- entrepreneur 141.0 9.0
- self-employed 147.0 14.0
- technician 612.0 81.0
- management 295.0 31.0
- student 64.0 20.0
- retired 129.0 39.0
- housemaid 100.0 12.0
- unemployed 93.0 20.0
- unknown 36.0 5.0
- [total] 3680.0 463.0
- marital
- married 2258.0 253.0
- single 999.0 156.0
- divorced 404.0 44.0
- unknown 11.0 2.0
- [total] 3672.0 455.0
- education
- basic.9y 532.0 44.0
- high.school 825.0 98.0
- university.degree 1100.0 166.0
- professional.course 471.0 66.0
- basic.6y 212.0 18.0
- basic.4y 392.0 39.0
- unknown 142.0 27.0
- illiterate 2.0 1.0
- [total] 3676.0 459.0
- default
- no 2914.0 403.0
- unknown 755.0 50.0
- yes 2.0 1.0
- [total] 3671.0 454.0
- housing
- yes 1936.0 241.0
- no 1638.0 203.0
- unknown 97.0 10.0
- [total] 3671.0 454.0
- loan
- no 2976.0 375.0
- unknown 97.0 10.0
- yes 598.0 69.0
- [total] 3671.0 454.0
- contact
- cellular 2278.0 376.0
- telephone 1392.0 77.0
- [total] 3670.0 453.0
- month
- may 1289.0 91.0
- jun 463.0 69.0
- nov 404.0 44.0
- sep 39.0 27.0
- jul 653.0 60.0
- aug 573.0 65.0
- mar 21.0 29.0
- oct 45.0 26.0
- apr 180.0 37.0
- dec 11.0 13.0
- [total] 3678.0 461.0
- day_of_week
- fri 686.0 84.0
- wed 713.0 84.0
- mon 758.0 99.0
- thu 765.0 97.0
- tue 751.0 92.0
- [total] 3673.0 456.0
- duration
- mean 219.4085 560.7538
- std. dev. 198.2301 411.0709
- weight sum 3668 451
- precision 4.4051 4.4051
- campaign
- mean 2.6449 2.0355
- std. dev. 2.6393 1.3291
- weight sum 3668 451
- precision 1.4167 1.4167
- pdays
- mean 982.6587 777.4922
- std. dev. 126.72 414.9947
- weight sum 3668 451
- precision 49.95 49.95
- previous
- mean 0.1418 0.5854
- std. dev. 0.4294 1.0027
- weight sum 3668 451
- precision 1 1
- poutcome
- nonexistent 3232.0 293.0
- failure 388.0 68.0
- success 51.0 93.0
- [total] 3671.0 454.0
- emp.var.rate
- mean 0.3801 -1.0241
- std. dev. 1.4629 1.6285
- weight sum 3668 451
- precision 0.5333 0.5333
- cons.price.idx
- mean 93.5952 93.4199
- std. dev. 0.5598 0.6844
- weight sum 3668 451
- precision 0.1026 0.1026
- cons.conf.idx
- mean -40.6347 -39.781
- std. dev. 4.3473 5.9146
- weight sum 3668 451
- precision 0.956 0.956
- euribor3m
- mean 3.8022 2.1457
- std. dev. 1.6398 1.7668
- weight sum 3668 451
- precision 0.0189 0.0189
- nr.employed
- mean 5178.2437 5096.8153
- std. dev. 66.4257 90.7356
- weight sum 3668 451
- precision 26.45 26.45
- Time taken to build model: 0.02 seconds
- === Evaluation on training set ===
- Time taken to test model on training data: 0.07 seconds
- === Summary ===
- Correctly Classified Instances 3608 87.5941 %
- Incorrectly Classified Instances 511 12.4059 %
- Kappa statistic 0.4545
- Mean absolute error 0.1348
- Root mean squared error 0.3277
- Relative absolute error 69.0844 %
- Root relative squared error 104.955 %
- Total Number of Instances 4119
- === Detailed Accuracy By Class ===
- TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class
- 0.907 0.377 0.951 0.907 0.929 0.462 0.875 0.979 no
- 0.623 0.093 0.452 0.623 0.524 0.462 0.875 0.490 yes
- Weighted Avg. 0.876 0.346 0.897 0.876 0.884 0.462 0.875 0.926
- === Confusion Matrix ===
- a b <-- classified as
- 3327 341 | a = no
- 170 281 | b = yes
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