Class Name: Data Analytics, Machine Learning and Artificial Intelligence - Online course using Python
Class Session: K Nearest Neighbor
Total Questions: 6 | Duration: 15 Mins
The Euclidean distance between two a set of numerical attributes is called as?
Which provide more smoothing, less noise ?
Classification done in Euclidean distance is comparing feature vectors of ?
All training points may influence a particular instance ?
In Optimal vale of ‘k’ training part considered as ?
Time to classify a new example than with a model in Knn requires?