Problem 1 (40%) Consider the data set in Table 1 collected for sixproducts being tested, where parameters F1- F5 are being monitored. Each product is labeled with one of the three outcomes indicating its quality: P, N, Z. Table 1. Test data F4F5D 0 P 14.21 22Z 0 3 21.023 N 0 12217 2 Z 0 3 15.031 N 1 211342 0 P 1 2 7271 Parameter F1 denotes product type (0 or 1),, parameter F4 denotes conductivity (a continuous number), .., and the outcome D denotes the product category (Positive, Zero, or Negative). The following two sets ofrules have been extracted with a data mining algorithm form the data in Table 1. Rule set l Rule 1. IF (F3 = 3) THEN (D=N); [3, 5] Rule 2. IF (F3 {0, 1)) THEN (D = Z); [2, 4] Rule 3. IF (F3 = 2) THEN (D=P); [1, 6] Rule set 2 Rule 1. IF (F4 >= 14.6205) THEN (D=N); [3, 5] Rule 2. IF (F5 >= 2) THEN (D=2); [2, 4] Rule 3. IF (F4