Please enable JavaScript.
Coggle requires JavaScript to display documents.
Question 1 (Compare (k-NN and k-Mean (Knn (Supervised classification…
Question 1
Compare
-
-
RMSE and Correlation
Root Mean Square Error (RMSE) is the standard deviation of the residuals (prediction errors). Residuals are a measure of how far from the regression line data points are; RMSE is a measure of how spread out these residuals are
-
-
Model optimation
Loop
The Loop Parameters Operator, in contrast to the optimization Operators, simply iterates through all parameter combinations. This might be especially useful for plotting purposes.
Grid
The Optimize Parameters (Grid) Operator executes the subprocess for all combinations of selected values of the parameters and then delivers the optimal parameter values
-
clustering
Centroid model: K-means
K-Means finds k number of centroids, and then assigns all data points to the closest centroid, with the aim of keeping the centroids small.
-
Mean shift
is used to find the dense area of the data point/ shifting the centroid kernel iteratively to a higher density region until convergence
-
estimation
Cross validation
Data set will be divided into K subset. K-1 subsets will be used as training data. The model will be validated k times to get the average performance
-
-