Problem $6$:Project the data in the arrays X$\_$neg and X$\_$pos to the $2-$dimensional subspace spanned by u$1$ and u$2.$ Save the $2-$dimensional datasets as X$\_$neg$\_2$D and X$\_$pos$\_2$D respectively.

Similarly, project the vectors Alice and Bob and save the resulting $2-$dimensional vectors as Alice$\_2$D and Bob$\_2$D respectively.

given:

df $=$ pd$.$read$\_$csv$(\text{'}$Lab$11$data.csv$\text{'},$header$=$None$)$

X$\_$neg$=$df$.$loc$[$df$[100]==0].$drop$($columns$=100).$values.transpose$()$

X$\_$pos$=$df$.$loc$[$df$[100]==1].$drop$($columns$=100).$values.transpose$()$

X$\_$total$=$df$.$loc$[$df$[100]>=0].$drop$($columns$=100).$values.transpose$()$

Alice$=$df$.$loc$[$df$[100]<0].$drop$($columns$=100).$values$[0,$:$]$

Bob$=$df$.$loc$[$df$[100]<0].$drop$($columns$=100).$values$[1,$:$]$

my current code:

# Save the projected data points from Problem $6$ here.

X$\_$neg$=$df$.$loc$[$df$[100]==0].$drop$($columns$=100).$values.transpose$()$

X$\_$pos$=$df$.$loc$[$df$[100]==1].$drop$($columns$=100).$values.transpose$()$

Alice$=$df$.$loc$[$df$[100]<0].$drop$($columns$=100).$values$[0,$:$]$

Bob$=$df$.$loc$[$df$[100]<0].$drop$($columns$=100).$values$[1,$:$]$

U $=$ np$.$vstack$(($u$1,$ u$2)).$T

# Projecting X$\_$neg and X$\_$pos to $2$D subspace spanned by u$1$ and u$2$

X$\_$neg$\_2$D $=$ np$.$dot$($X$\_$neg, U$)$

X$\_$pos$\_2$D $=$ np$.$dot$($X$\_$pos, U$)$

# Project the vectors Alice and Bob and save the resulting $2-$dimensional vectors as Alice$\_2$D and Bob$\_2$D respectively.

Alice$\_2$D $=$ np$.$dot$($Alice$,$ U$)$

ValueError Traceback $($most recent call last$)$

in $()$

$8$

$9$ # Projecting X$\_$neg and X$\_$pos to $2$D subspace spanned by u$1$ and u$2$

$--->10$ X$\_$neg$\_2$D $=$ np$.$dot$($X$\_$neg, U$)$

$11$ X$\_$pos$\_2$D $=$ np$.$dot$($X$\_$pos, U$)$

$12$

ValueError:Comparing the plots of X$\_$neg$\_2$D and X$\_$pos$\_2$D with Alice$\_2$D and Bob$\_2$D make a prediction about the likelihood of Alice or Bob developing this form of cancer.

Problem $7$: $1$f you think that Alice is liely to develop this form of cancer, enter a value of $1$ for the variable Alice$\_$prediction. If you think it is likely she will not develop this form of cancer, save the value of $-1$ for the variable Alice$\_$prediction. Similarly, assign a value of $1$ or $-1$ for the variable Bob$\_$prediction. shapes $(100,980)$ and $(6,2)$ not aligned: $980($dim $1)!=6($dim $0)$