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In KNN, K is the number of nearest neighbors. The number of neighbours is the core deciding factor. Generally k can be taken odd number of values
In this algorithm classifiy the points by majority vote of it's k-neighbors
So here, K=4 it is even so, the nearest neighbor classification would be not decided so, option C is correct.
33.In the k-nearest-neighbor classifier below, the vector to be classified is denoted by the symb...
Run the Nearest Neighbor classifier with a k-value of 7 and a Support Vector Machine with default values using 10-folds cross validation on the diabetes data set (diabetes.arff available online) in Weka. Fill in the confusion matrices for the models in the tables below and use the cost matrix to compute the cost for each model. Based upon the cost, which model should be selected and why? Nearest Neighbor (k=7) Confusion Matrix Tested Negative Tested Positive Tested Negative Tested Positive...
CASE 1-5 Financial Statement Ratio Computation Refer to Campbell Soup Company's financial Campbell Soup statements in Appendix A. Required: Compute the following ratios for Year 11. Liquidity ratios: Asset utilization ratios:* a. Current ratio n. Cash turnover b. Acid-test ratio 0. Accounts receivable turnover c. Days to sell inventory p. Inventory turnover d. Collection period 4. Working capital turnover Capital structure and solvency ratios: 1. Fixed assets turnover e. Total debt to total equity s. Total assets turnover f. Long-term...