Data Modeling
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Data Modeling

Test your knowledge of Data Modeling and learn about descriptive and predictive models. Explore how descriptive models analyze preferences and predictive models yield outcomes. Discover the different analytic approaches used, such as statistical and machine learning driven methods.

Created by
@BoundlessHeliotrope

Questions and Answers

What does a descriptive model in data modeling examine?

The preferences based on past actions

What is the purpose of a training set in predictive modeling?

To act as a gauge for model calibration

What does a predictive model in data modeling try to yield?

Yes/no or stop/go outcomes

What is the role of a data scientist in the modeling stage?

<p>To play around with different algorithms</p> Signup and view all the answers

What is crucial for the success of data compilation, preparation and modeling?

<p>The understanding of the problem and the appropriate analytical approach</p> Signup and view all the answers

The train-test split is a technique for evaluating the performance of a machine learning algorithm. It can be used for ______ or regression problems and can be used for any supervised learning algorithm.

<p>classification</p> Signup and view all the answers

The procedure involves taking a dataset and dividing it into two ______. The first subset is used to fit the model and is referred to as the training dataset.

<p>subsets</p> Signup and view all the answers

The second subset is not used to train the model; instead, the input element of the dataset is provided to the model, then predictions are made and compared to the expected values. This second dataset is referred to as the ______ dataset.

<p>test</p> Signup and view all the answers

Train Dataset: Used to fit the machine learning ______.

<p>model</p> Signup and view all the answers

Test Dataset: Used to evaluate the fit machine learning ______.

<p>model</p> Signup and view all the answers

Train-test split is a technique for evaluating the performance of a machine learning algorithm. It can be used for ______ or regression problems and can be used for any supervised learning algorithm.

<p>classification</p> Signup and view all the answers

The objective is to estimate the performance of the machine learning model on new data: data not used to train the model.

<p>test</p> Signup and view all the answers

The first subset is used to fit the model and is referred to as the ______ dataset.

<p>training</p> Signup and view all the answers

Train Dataset: Used to fit the machine learning ______.

<p>model</p> Signup and view all the answers

Test Dataset: Used to evaluate the fit machine learning ______.

<p>model</p> Signup and view all the answers

Study Notes

Data Modeling

  • A descriptive model in data modeling examines a snapshot of the current situation, providing a detailed description of the data and its relationships.

Predictive Modeling

  • A predictive model in data modeling tries to yield a forecast of the future situation, providing predictions or probabilities of future outcomes.

Role of a Data Scientist

  • The role of a data scientist in the modeling stage is crucial for the success of data compilation, preparation, and modeling.

Train-Test Split

  • The train-test split is a technique for evaluating the performance of a machine learning algorithm, which can be used for classification or regression problems and any supervised learning algorithm.
  • The procedure involves taking a dataset and dividing it into two subsets: a training dataset and a testing dataset.
  • The training dataset is used to fit the model, while the testing dataset is used to evaluate the fit machine learning model.
  • The objective of the train-test split is to estimate the performance of the machine learning model on new data, which is not used to train the model.

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