We’ve already seen what Fscore is. Now let’s see what
Ftest. Side note: I came across it when I was writing
Elbow Method and my thoughts were, cool another Fword for my readers, so
Here you go:

Ftest is any stats test that uses Fdistribution

It is often used when comparing stats models that have been fitted to a data set.. Ahh.. That
sounds no different from Fscore then.. May be just different
fields(Statistics and Machine Learning) have different naming conventions?? Anyway two different
Fwords.. So let’s just say what Fscore/test?? Why two names for samething and move on…
Examples:

Null Hypothesis: Means of a given set of normally distributed populations all having same standard deviation being equal.(used in ANOVA)

The hypothesis that a proposed regression model fits the data well.

The hypothesis that a data set in a regression analysis follows the simpler of two proposed linear models that are nested within each other.

It(nonregression type) is also a test of homoskedasticity
Drawbacks:
 Ftest is sensitive to nonnormality.
 Regression Ftest is sensitive to homoskedasticity
)
Formula

Formula: or Ok. That doesn’t sound like the Fscore

Formula(for regression models):