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Results.txt
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Results.txt
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/*
This file will be used to paste the results
*/
=== Undersampled dataframe | NLP methods | string values | no negation applied | isotonic | bag of words ===
Multinomial NB ===
Confusion Matrix:
[[2740 728]
[1139 2329]]
Total Cost: 1867
Classification Report:
precision recall f1-score support
0 0.71 0.79 0.75 3468
1 0.76 0.67 0.71 3468
accuracy 0.73 6936
macro avg 0.73 0.73 0.73 6936
weighted avg 0.73 0.73 0.73 6936
Multi-Variate Bernoulli NB ===
Confusion Matrix:
[[2698 770]
[1121 2347]]
Total Cost: 1891
Classification Report:
precision recall f1-score support
0 0.71 0.78 0.74 3468
1 0.75 0.68 0.71 3468
accuracy 0.73 6936
macro avg 0.73 0.73 0.73 6936
weighted avg 0.73 0.73 0.73 6936
Binary NB ===
Confusion Matrix:
[[2799 669]
[1217 2251]]
Total Cost: 1886
Classification Report:
precision recall f1-score support
0 0.70 0.81 0.75 3468
1 0.77 0.65 0.70 3468
accuracy 0.73 6936
macro avg 0.73 0.73 0.73 6936
weighted avg 0.73 0.73 0.73 6936
=== Undersampled dataframe | NLP methods | string values | no negation applied | isotonic | tf-idf ===
Multinomial NB ===
Confusion Matrix:
[[2787 681]
[1205 2263]]
Total Cost: 1886
Classification Report:
precision recall f1-score support
0 0.70 0.80 0.75 3468
1 0.77 0.65 0.71 3468
accuracy 0.73 6936
macro avg 0.73 0.73 0.73 6936
weighted avg 0.73 0.73 0.73 6936
Multi-Variate Bernoulli NB ===
Confusion Matrix:
[[2698 770]
[1121 2347]]
Total Cost: 1891
Classification Report:
precision recall f1-score support
0 0.71 0.78 0.74 3468
1 0.75 0.68 0.71 3468
accuracy 0.73 6936
macro avg 0.73 0.73 0.73 6936
weighted avg 0.73 0.73 0.73 6936
Binary NB ===
[[2828 640]
[1283 2185]]
Total Cost: 1923
Classification Report:
precision recall f1-score support
0 0.69 0.82 0.75 3468
1 0.77 0.63 0.69 3468
accuracy 0.72 6936
macro avg 0.73 0.72 0.72 6936
weighted avg 0.73 0.72 0.72 6936
=== XGBoost ===
Classification Report:
precision recall f1-score support
0 0.73 0.82 0.77 3504
1 0.79 0.70 0.74 3432
accuracy 0.76 6936
macro avg 0.76 0.76 0.76 6936
weighted avg 0.76 0.76 0.76 6936
Confusion Matrix:
[[2871 633]
[1036 2396]]
Total Cost: 1669
=== DT ===
Classification Report:
precision recall f1-score support
0 0.73 0.81 0.77 3504
1 0.78 0.69 0.73 3432
accuracy 0.75 6936
macro avg 0.75 0.75 0.75 6936
weighted avg 0.75 0.75 0.75 6936
Confusion Matrix:
[[2838 666]
[1057 2375]]
Total Cost: 1723
=== GNB ===
Confusion Matrix:
[[2863 641]
[1308 2124]]
Total Cost: 1949
precision recall f1-score support
0 0.69 0.82 0.75 3504
1 0.77 0.62 0.69 3432
accuracy 0.72 6936
macro avg 0.73 0.72 0.72 6936
weighted avg 0.73 0.72 0.72 6936
=== RF ===
Classification Report:
precision recall f1-score support
0 0.74 0.82 0.78 3504
1 0.79 0.70 0.74 3432
accuracy 0.76 6936
macro avg 0.76 0.76 0.76 6936
weighted avg 0.76 0.76 0.76 6936
Confusion Matrix:
[[2862 642]
[1014 2418]]
Total Cost: 1656
=== KNN ===
Classification Report:
precision recall f1-score support
0 0.72 0.75 0.74 3504
1 0.74 0.71 0.72 3432
accuracy 0.73 6936
macro avg 0.73 0.73 0.73 6936
weighted avg 0.73 0.73 0.73 6936
Confusion Matrix:
[[2635 869]
[1011 2421]]
Total Cost: 1880
=== XGBoost isotonic ===
Classification Report:
precision recall f1-score support
0 0.74 0.79 0.77 3504
1 0.77 0.72 0.75 3432
accuracy 0.76 6936
macro avg 0.76 0.76 0.76 6936
weighted avg 0.76 0.76 0.76 6936
Confusion Matrix:
[[2783 721]
[ 964 2468]]
Total Cost: 1685
=== DT isotonic ===
Classification Report:
precision recall f1-score support
0 0.72 0.83 0.77 3504
1 0.80 0.67 0.73 3432
accuracy 0.75 6936
macro avg 0.76 0.75 0.75 6936
weighted avg 0.76 0.75 0.75 6936
Confusion Matrix:
[[2918 586]
[1145 2287]]
Total Cost: 1731
=== GNB isotonic ===
Confusion Matrix:
[[2723 781]
[1165 2267]]
Total Cost: 1946
precision recall f1-score support
0 0.70 0.78 0.74 3504
1 0.74 0.66 0.70 3432
accuracy 0.72 6936
macro avg 0.72 0.72 0.72 6936
weighted avg 0.72 0.72 0.72 6936
=== RF isotonic ===
Classification Report:
precision recall f1-score support
0 0.74 0.82 0.78 3504
1 0.79 0.70 0.75 3432
accuracy 0.76 6936
macro avg 0.77 0.76 0.76 6936
weighted avg 0.77 0.76 0.76 6936
Confusion Matrix:
[[2879 625]
[1018 2414]]
Total Cost: 1643
=== KNN isotonic ===
Classification Report:
precision recall f1-score support
0 0.71 0.80 0.75 3504
1 0.77 0.67 0.71 3432
accuracy 0.74 6936
macro avg 0.74 0.74 0.73 6936
weighted avg 0.74 0.74 0.73 6936
Confusion Matrix:
[[2809 695]
[1137 2295]]
Total Cost: 1832