How does the kNN algorithm classify a new data point?

Which technique is used for handling missing values in a dataset?

Discretization techniques convert continuous data into:

Dimensionality reduction techniques are useful when dealing with:

Feature selection helps to:

In kNN classification, how is the distance between data points typically calculated?

When performing data aggregation, it’s important to consider:

The load is calculated at _ VA for a dwelling with a 45 A, 240 V, 1Ø A/C unit and a 15 kW central heat unit (Optional Calculation).

A 4.5 kW clothes dryer adds _ A to the neutral load of a dwelling (Standard Calculation).

The minimum size XHHW Al ungrounded conductors permitted for a 225 A, 120/240 V, 1Ø service for a dwelling is _.