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What type of feature is this?
Hair color {auburn, black, blond, brown, grey, red, white}
Categorical Feature
What type of feature would you use to represent
these? Marital status, occupation, ID numbers,
zip codes
Categorical Feature
What is a binary feature?
Categorical features with only 2 states (0 and 1). This could also be
represented in other ways, but most important thing is that it has two
states.
What type of feature is this?
Married {Y, N}
Binary feature
,What type of feature is this?
Homeowner {0, 1}
Binary feature
What type of feature is this?
Gender {M, F}
Binary feature
What is an ordinal feature?
Values of these features have a meaningful order (ranking) but magnitude
between successive values is not known.
What type of feature is this?
Taste of potato chips {1, 2, 3,
4, 5}
Ordinal feature
What type of feature is this?
Letter grades {A, B, C, D, F}
Ordinal feature
What type of feature is this?
Height {tall, medium, short}
Ordinal feature
,What is a numeric feature?
Quantitative values than can either be interval-scaled or ratio-scaled.
Are these examples interval-scaled or ratio-scaled numeric
features? calendar dates, temperatures in Celsius or Fahrenheit
Interval-scaled features
Are these examples interval-scaled or ratio-scaled numeric
features? length, elapsed time (e.g., time to run a race), and
counts.
Ratio-scaled features
How do you tell if a numeric feature is interval-scaled or ratio-
scaled?
Ratio-scaled numeric features have some sort of "true zero"
value, like 0 seconds or 0cm. These are absolute zero values
that are defined. Interval-scaled features do not have true
zero values, like how 0 C and 0 F are not true zero values. Like
how calendar dates don't have a real 0 value.
If you have to try to jump through hoops to define a true zero
value, its probably interval-scaled.
, What are the four properties of feature values?
Distinctness: =, !=
Order: >, <
Difference meaningful: +, −
Ratio meaningful: ∗, /
How would you attribute the properties of feature values to the
following features: Categorical, Ordinal, Interval, Ratio
Categorical: distinctiveness
Ordinal: distinctiveness &
order
Interval: distinctiveness, order & meaningful
differences Ratio: all four properties.
What is dimensionality in terms of data?
The number of features a set of data contains.
What is sparsity in terms of data?
The percentage of values that are zero, missing, or null. Dense means
most values are populated, and sparse means most values are not
populated within a table.
What is resolution in terms of data?
It is the level of detail, granularity, or precision in a dataset.