1. ___ is an iterative process of determining data needs, reviewing existing data, setting priorities for data, agreeing on roles and responsibilities for collecting the data, producing the data, and determining if data meets all needs

. Data analysis

.Data collection strategy

.Data visualization

.Data assessment

2. ___ is a graphical method of exploring patterns and trends in data.

. Curse of dimensionality

.Data evaluation

.Exploratory data analysis

.Data visualization

.Data mining

3. ____ refers to a data mining task for grouping records into classes of similar objects.

.Principal component analysis

.Association

.Heuristic

.Classification

.Clustering

4. Every predictive model requires a well-defined outcome, label or target.

.True

.False

5. ___ is an assortment of items or observations into predetermined categories.

.Pre-selection

.Clustering

Classification

.Categorization

6. ___ is an expression of the lack of error from the he true value.

. Multicollinearity

.Residual

.Accuracy

.Factor