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ARM 54 Assignment 9: Questions And Answers (100%)
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ARM 54 Assignment 9: Questions And Answers (100%)
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ARM 54 Assignment 9: Questions And Answers (100%)Data science Right Ans - an interdisciplinary field involving the design and
use of techniques to process very large amounts of data from a variety of
sources and to provide knowledge based on the data.
Internal data Right Ans - data that is owned by an organization
External data Right Ans - data that belongs to an entity other than the
organization that wishes to acquire and use it.
Economic data Right Ans - data regarding interest rates, asset prices,
exchange rates, the consumer price index, and other information about the
global, the national, or a regional economy.
Geodemographic data Right Ans - data regarding classifications or a
population.
Data driven decision making Right Ans - An organizational process to
gather and analyze relevant and verifiable data and then evaluate the results
to guide business strategies.
Big Data Right Ans - Sets of data that are too large to be gathered and
analyzed by traditional methods
Structured Data Right Ans - Data organized into databases with defined
fields, including links between databases.
Unstructured Data Right Ans - Data that is not organized into
predetermined formats, such as databases, and often consists of text, images,
or other nontraditional media.
Veracity Right Ans - Refers to the completeness and accuracy of data.
Internet of Things Right Ans - A network of objects that transmit data to
computers
Predictive Model Right Ans - a model used to predict an unknown outcome
by means of a defined target variable.
, Training Data Right Ans - Data that is used to train a predictive model and
that therefore must have known values for the target variable of the model.
Target Variable Right Ans - The predefined attribute whose value is being
predicted in a data analytical model
Class Label Right Ans - the value of the target variable in a model.
Attribute Right Ans - A variable that describes a characteristic of an
instance within a model.
Instance (example) Right Ans - The representation of a data point
described by a set of attributes within a model's dataset
Overfitting Right Ans - the process of fitting a model too closely to the
training data for the model to be effective on other data.
Holdout data Right Ans - In the model training process, existing data with a
known target variable that is not used as part of the training data.
Generalization Right Ans - The ability of a model to apply itself to data
outside the training data.
Accuracy Right Ans - In model performance evaluation, a model's correct
predictions divided by its total predictions
Precision Right Ans - In model performance evaluation, a model's correct
positive predictions divided by its total positive predictions
Recall Right Ans - In model performance evaluation, a model's correct
positive predictions divided by the sum of its correct positive predictions and
incorrect negative predictions.
F-score Right Ans - in statistics, the measure that combines precision and
recall and is the harmonic mean of precision and recall.
F-score equation Right Ans - 2 X ([precision x recall] / [Precision + recall])
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