Ads-Classification-with-Naive-Bayes

This is one of my Artificial Intelligence course's projects
I classified ads in divar.ir into 6 categories using naive bayes classifier:

1. Vehicles
2. Electronic devices
3. Businesses
4. For the home
5. Personal
6. Leisure & Hobbies

Dataset

data set is available in here

Libraries

• pandas
• matplotlib
• Parsivar

Results

Accuracy 0.8616666666666667
Presicion of electronic-devices is: 0.9401408450704225
Presicion of leisure-hobbies is: 0.9194139194139194
Presicion of businesses is: 0.7705479452054794
Presicion of for-the-home is: 0.7577464788732394
Presicion of vehicles is: 0.9405594405594405
Presicion of personal is: 0.8709677419354839
Recall of electronic-devices is : 0.89
Recall of leisure-hobbies is : 0.8366666666666667
Recall of businesses is : 0.75
Recall of for-the-home is : 0.8966666666666666
Recall of vehicles is : 0.8966666666666666
Recall of personal is : 0.9
F1_score of electronic-devices is : 0.9401408450704225
F1_score of leisure-hobbies is : 0.9194139194139194
F1_score of businesses is : 0.7705479452054794
F1_score of for-the-home is : 0.7577464788732394
F1_score of vehicles is : 0.9405594405594405
F1_score of personal is : 0.8709677419354839