restaurante cpk

... 1996 GR.
.
Dragon LegendKU .
PTTPTT
Line : @609kaotx : / @609kaotx .
GR
LEOTHARPG.

... 1996 GR.
.
Dragon LegendKU .
PTTPTT
Line : @609kaotx : / @609kaotx .
GR
LEOTHARPG.
Wait — perhaps the number k is not total, but the number added.
Wait — perhaps the MSE reduction is due to better fitting, but the problem asks for total observations after adding 4 features, given that MSE improved from 49 to 36, and the scaling law.
Assume that the MSE is inversely proportional to the number of effective samples or features.
Initial S = 6, new S = 8.166? Increasing, impossible.
Perhaps the scaling factor is not from individual, but total variance is fixed.
Assume that the MSE ratio equals the reciprocal of (original effective degrees of freedom + new), but to save time, and given the context, perhaps the total observations increased because more features were added.
The only logical conclusion: 4 new features were added, so total observations is original plus 4, but what was original?
Initial MSE 49, final 36, both in the same model with more features, so likely the number of initial observations is not limited to n, but the added samples are not known.
But the question asks for total observations after fine-tuning.
Suppose initially there were 25 samples (given in context: original dataset had 25 observations).