Exhibit 14.1
The age, weight, gender, and the number of children were tracked for 50 people who either have or have not been diagnosed with a certain illness. The data are provided in the table below.
\[\begin{array} { l l l l l l }
31 & 43 & 177 & \mathrm {~m} & 4 & \mathrm { n } \
32 & 42 & 178 & \mathrm {~m} & 1 & \mathrm { n } \
33 & 28 & 183 & \mathrm {~m} & 1 & \mathrm { n } \
34 & 60 & 177 & \mathrm { f } & 1 & \mathrm { y } \
35 & 60 & 176 & \mathrm {~m} & 5 & \mathrm { n } \
36 & 62 & 199 & \mathrm {~m} & 0 & \mathrm { n } \
37 & 57 & 177 & \mathrm {~m} & 0 & \mathrm { n } \
38 & 31 & 152 & \mathrm { f } & 3 & \mathrm { n } \
39 & 68 & 185 & \mathrm { f } & 2 & \mathrm { n } \
40 & 26 & 134 & \mathrm { f } & 2 & \mathrm { n } \
41 & 38 & 142 & \mathrm { f } & 2 & \mathrm { n } \
42 & 51 & 199 & \mathrm { f } & 2 & \mathrm { n } \
43 & 62 & 133 & \mathrm { f } & 4 & \mathrm { n } \
44 & 38 & 131 & \mathrm { f } & 4 & \mathrm { n } \
45 & 73 & 196 & \mathrm {~m} & 1 & \mathrm { y } \
46 & 48 & 120 & \mathrm { f } & 2 & \mathrm { n } \
47 & 54 & 197 & \mathrm { f } & 1 & \mathrm { y } \
48 & 38 & 136 & \mathrm { f } & 0 & \mathrm { n } \
49 & 54 & 183 & \mathrm { f } & 0 & \mathrm { y } \
50 & 52 & 199 & \mathrm { f } & 0 & \mathrm { y }
\end{array}\]
-See Exhibit 14-1 Use neural nets via Palisade's NeuralTools to classify the people as being diagnosed as having an illness or not. (Reserve 20% of the observations for testing.) How well does this method correctly classify people

Question

Exhibit 14.1
The age, weight, gender, and the number of children were tracked for 50 people who either have or have not been diagnosed with a certain illness.  The data are provided in the table below.
  \[\begin{array} { l l l l l l } 
31 & 43 & 177 & \mathrm {~m} & 4 & \mathrm { n } \
32 & 42 & 178 & \mathrm {~m} & 1 & \mathrm { n } \
33 & 28 & 183 & \mathrm {~m} & 1 & \mathrm { n } \
34 & 60 & 177 & \mathrm { f } & 1 & \mathrm { y } \
35 & 60 & 176 & \mathrm {~m} & 5 & \mathrm { n } \
36 & 62 & 199 & \mathrm {~m} & 0 & \mathrm { n } \
37 & 57 & 177 & \mathrm {~m} & 0 & \mathrm { n } \
38 & 31 & 152 & \mathrm { f } & 3 & \mathrm { n } \
39 & 68 & 185 & \mathrm { f } & 2 & \mathrm { n } \
40 & 26 & 134 & \mathrm { f } & 2 & \mathrm { n } \
41 & 38 & 142 & \mathrm { f } & 2 & \mathrm { n } \
42 & 51 & 199 & \mathrm { f } & 2 & \mathrm { n } \
43 & 62 & 133 & \mathrm { f } & 4 & \mathrm { n } \
44 & 38 & 131 & \mathrm { f } & 4 & \mathrm { n } \
45 & 73 & 196 & \mathrm {~m} & 1 & \mathrm { y } \
46 & 48 & 120 & \mathrm { f } & 2 & \mathrm { n } \
47 & 54 & 197 & \mathrm { f } & 1 & \mathrm { y } \
48 & 38 & 136 & \mathrm { f } & 0 & \mathrm { n } \
49 & 54 & 183 & \mathrm { f } & 0 & \mathrm { y } \
50 & 52 & 199 & \mathrm { f } & 0 & \mathrm { y }
\end{array}\]
-See Exhibit 14-1 Use neural nets via Palisade's NeuralTools to classify the people as being diagnosed as having an illness or not. (Reserve 20% of the observations for testing.) How well does this method correctly classify people

Quizplus · Accepted Answer

The Answer of Exhibit 14.1
The age, weight, gender, and the number of children were tracked for 50 people who either have or have not been diagnosed with a certain illness.  The data are provided in the table below.
  \[\begin{array} { l l l l l l } 
31 & 43 & 177 & \mathrm {~m} & 4 & \mathrm { n } \
32 & 42 & 178 & \mathrm {~m} & 1 & \mathrm { n } \
33 & 28 & 183 & \mathrm {~m} & 1 & \mathrm { n } \
34 & 60 & 177 & \mathrm { f } & 1 & \mathrm { y } \
35 & 60 & 176 & \mathrm {~m} & 5 & \mathrm { n } \
36 & 62 & 199 & \mathrm {~m} & 0 & \mathrm { n } \
37 & 57 & 177 & \mathrm {~m} & 0 & \mathrm { n } \
38 & 31 & 152 & \mathrm { f } & 3 & \mathrm { n } \
39 & 68 & 185 & \mathrm { f } & 2 & \mathrm { n } \
40 & 26 & 134 & \mathrm { f } & 2 & \mathrm { n } \
41 & 38 & 142 & \mathrm { f } & 2 & \mathrm { n } \
42 & 51 & 199 & \mathrm { f } & 2 & \mathrm { n } \
43 & 62 & 133 & \mathrm { f } & 4 & \mathrm { n } \
44 & 38 & 131 & \mathrm { f } & 4 & \mathrm { n } \
45 & 73 & 196 & \mathrm {~m} & 1 & \mathrm { y } \
46 & 48 & 120 & \mathrm { f } & 2 & \mathrm { n } \
47 & 54 & 197 & \mathrm { f } & 1 & \mathrm { y } \
48 & 38 & 136 & \mathrm { f } & 0 & \mathrm { n } \
49 & 54 & 183 & \mathrm { f } & 0 & \mathrm { y } \
50 & 52 & 199 & \mathrm { f } & 0 & \mathrm { y }
\end{array}\]
-See Exhibit 14-1 Use neural nets via Palisade's NeuralTools to classify the people as being diagnosed as having an illness or not. (Reserve 20% of the observations for testing.) How well does this method correctly classify people

Exhibit 14 -See Exhibit 14-1 Use Neural Nets Via Palisade's NeuralTools to Children