Skip to content

Binary Classification - Machine Learning Models

Notifications You must be signed in to change notification settings

alex-negash/ML-DL

Repository files navigation

The college data set has 777 observations and 18 variables. The data set is a categorical with labels "Yes" and "No" to identify whether a college is private or public.

Attributes:

[Private] Whether the college is public or private

[Apps] Number of applications received

[Accept] Number of applications accepted

[Enroll] Number of new students enrolled

[Top10perc] Percentage of new students from top 10% of High School class

[Top25perc] Percentage new students from top 25% of High School class

[F.Undergrad] Number of fulltime undergraduates

[P.Undergrad] Number of parttime undergraduates

[Outstate] Out-of-state tuition

[Room.Board] Room and board costs

[Books] Estimated book costs

[Personal] Estimated personal spending

[PhD] Percentage of faculty with Ph.D.’s

[Terminal] Percentage of faculty with terminal degree

[S.F.Ratio] Student/faculty ratio

[perc.alumni] Pct. alumni who donate

[Expend] Instructional expenditure per student

[Grad.Rate] Graduation rate

Releases

No releases published

Packages

No packages published