Data Science Methodology Course 3
Solved 2024
A decision tree - ANSWER-is a decision support tool that uses a tree-like graph or
model of decisions and their possible consequences, including chance event outcomes,
resource costs, and utility. It is one way to display an algorithm that only contains
conditional control statements.
Business Understanding - ANSWER-A clear understanding of the business problem
that must be solved and how it impacts the company. Achieved by asking questions.
Comorbidity - ANSWER-is the presence of one or more additional conditions co-
occurring with a primary condition; in the countable sense of the term, a ____ is each
additional condition.
Confusion Matrix - ANSWER-In the field of machine learning and specifically the
problem of statistical classification, a _______, also known as an error matrix, is a
specific table layout that allows visualization of the performance of an algorithm,
typically a supervised learning one.
Confusion Matrix - ANSWER-It is extremely useful for measuring Recall, Precision,
Specificity, Accuracy and most importantly AUC-ROC Curve.
CRISP-DM - ANSWER-As a methodology, it includes descriptions of the typical phases
of a project, the tasks involved with each phase, and an explanation of the relationships
between these tasks.
CRISP-DM - ANSWER-Cross-industry standard process for data mining, known as
______, is an open standard process model that describes common approaches used
by data mining experts. It is the most widely-used analytics model.
CRISP-DM - ANSWER-provides an overview of the data mining life cycle.
Data preparation - ANSWER-is the process of cleaning and transforming raw data prior
to processing and analysis. It is an important step prior to processing and often involves
reformatting data, making corrections to data and the combining of data sets to enrich
data.
data scraping - ANSWER-a computer programmed extraction of information from
individual computer screens, website or reports
decision node - ANSWER-points in a decision tree when decisions need to be made
Solved 2024
A decision tree - ANSWER-is a decision support tool that uses a tree-like graph or
model of decisions and their possible consequences, including chance event outcomes,
resource costs, and utility. It is one way to display an algorithm that only contains
conditional control statements.
Business Understanding - ANSWER-A clear understanding of the business problem
that must be solved and how it impacts the company. Achieved by asking questions.
Comorbidity - ANSWER-is the presence of one or more additional conditions co-
occurring with a primary condition; in the countable sense of the term, a ____ is each
additional condition.
Confusion Matrix - ANSWER-In the field of machine learning and specifically the
problem of statistical classification, a _______, also known as an error matrix, is a
specific table layout that allows visualization of the performance of an algorithm,
typically a supervised learning one.
Confusion Matrix - ANSWER-It is extremely useful for measuring Recall, Precision,
Specificity, Accuracy and most importantly AUC-ROC Curve.
CRISP-DM - ANSWER-As a methodology, it includes descriptions of the typical phases
of a project, the tasks involved with each phase, and an explanation of the relationships
between these tasks.
CRISP-DM - ANSWER-Cross-industry standard process for data mining, known as
______, is an open standard process model that describes common approaches used
by data mining experts. It is the most widely-used analytics model.
CRISP-DM - ANSWER-provides an overview of the data mining life cycle.
Data preparation - ANSWER-is the process of cleaning and transforming raw data prior
to processing and analysis. It is an important step prior to processing and often involves
reformatting data, making corrections to data and the combining of data sets to enrich
data.
data scraping - ANSWER-a computer programmed extraction of information from
individual computer screens, website or reports
decision node - ANSWER-points in a decision tree when decisions need to be made
