K- Nearest Neighbor, popular as K-Nearest Neighbor (KNN), is an algorithm that helps to assess the properties of a new variable with the help of the properties of existing variables. KNN is applicable in classification as well as regression predictive problems.
analyse with SPSS, classification in supervised learning, Supervised learning, trend discoveryIn data mining, significant patterns and knowledge are extracted from big databases that in the context of cancer research that include patient characteristics, genetic records, outcomes from treatment, and other facts.
breast cancer, cancer prediction, machine learning, milestone-35, module-13, preprocessingMachine learning has become an indispensable tool in bioinformatics research. Biomarkers act as indicators of any biological state of the body. It can help to detect different kinds of diseases.
Importance of Molecular Biomarkers in Non-communicable diseasesReceiver Operating Curve (ROC) is an extension of such classifications. Performance of binary classifier system in the case of ROC analysis can be tested.
classification in supervised learning, Supervised learning