WULANDARI, DIKA AVILA (2022) PREDICTION OF BREAST CANCER USING THE NAÏVE BAYES ALGORITHM. Other thesis, Universitas Katholik Soegijapranata Semarang.
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Abstract
Breast cancer is the most common cause of death among women worldwide. Cancer can be classified into two categories, benign and malignant. Cancers are more aggressive than tumors. Therefore, early diagnosis will be very helpful for patients. This report uses the Naïve Bayes data classification method to detect breast cancer and classify whether it is benign or malignant. The conclusion of this study is that the Naïve Bayes algorithm proposed as a classification method for breast cancer prediction is able to get a good score. The average percentage of data that is classified correctly reaches 96.47% and the average percentage of data that is classified incorrectly is only 3.53%. While the level of effectiveness where the average value of precision and recall respectively is 0.956 and 0.9685. For the highest precision and recall values, when the test data uses a 10% split percentage for testing data with values of 0.985 and 0.985.
| Item Type: | Thesis (Other) |
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| Subjects: | 000 Computer Science, Information and General Works > 004 Data processing & computer science |
| Divisions: | Faculty of Computer Science > Department of Informatics Engineering |
| Depositing User: | mr AM. Pudja Adjie Sudoso |
| Date Deposited: | 26 Oct 2022 09:15 |
| Last Modified: | 26 Oct 2022 09:15 |
| URI: | http://repository.unika.ac.id/id/eprint/30011 |
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