Скачать с ютуб How to use Naive Bayes rule to check whether the Patient has Cancer or Not by Mahesh Huddar в хорошем качестве

How to use Naive Bayes rule to check whether the Patient has Cancer or Not by Mahesh Huddar

How to use Naive Bayes rule to check whether the Patient has Cancer or Not by Mahesh Hudda Consider a medical diagnosis problem in which there are two alternative hypotheses: (1) that the patient has a particular form of cancer. (2) that the patient does not. The available data is from a particular laboratory test with two possible outcomes: + (positive) and − (negative). The test returns a correct positive result in only 98% of the cases in which the disease is actually present, and a correct negative result in only 97% of the cases in which the disease is not present. Furthermore, we know that 0.008 of the entire population has cancer. Machine Learning -    • Machine Learning   Big Data Analysis -    • Big Data Analytics   Data Science and Machine Learning - Machine Learning -    • Machine Learning   Python Tutorial -    • Python Application Programming Tutorial   naive bayes theorem, naive bayes algorithm in machine learning, naive bayes algorithm, naive bayesian classification in data mining, naive bayes theorem in machine learning, naive bayes model in artificial intelligence, naive bayes classifier example, naive bayes classifier in data mining, naive bayes classifier python, naive bayes algorithm in data mining, naive bayes cancer example, naive bayes solved example, naive bayes so naive, naive bayes source code python, naive bayes solution, bayes cancer example