My expected output is supposed to be 0.96
263794706748
3 and my urrent one is wrong.
The forestfires.csv data base contains meteorological information and the area burned for 517 forest fires that occurred in Montesinho Natural Park in Portugal. The columns of interest are FFMC, DMC, DC, ISI, temp, RH, wind, and rain. Your Guiput
Expecied catput
96.25379478674827
079263734766748目
Read in the file forestfires.csv.
Create a new data frame X from the columns FFMC, DMC, DC, ISI, temp, RH, wind, and rain, in that order.
Calculate the covariance matrix for the data in X.
Calculate the eigenvalues and eigenvectors for the covariance matrix.
Calculate the amount of variance contained in the first component.
Ex: If only the columns FFMC, DMC, DC, and ISI are used, the output is:
[6.35187225e+04 2.12678877e+03 1.13496502e+01 3.31868702e+01] [[ 0.00739596 -0.02478582 -0.58503337 0.81059664]
[ 0.17946956 -0.98322216 -0.0012556 -0.03260793]
[ 0.98372646 0.17964916 0.00110826 -0.00268257]
[ 0.00426876 -0.01964736 0.81100749 0.58469018]]
0.9669459017392729

