Data Science for Everyone 11-5 Evaluation of Classification Performance 1

Опубликовано: 03 Март 2026
на канале: Takuma Organizational & Data Analytics
20
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#predictiveanalytics #datascience #classification #accuracy #confusionmatrix

How can we evaluate the prediction performance of a classification model? Here, we focus on the most popular performance metric, accuracy. Let's see how to compute accuracy using a confusion matrix.

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This course is targeted for managers who are not data scientist but need to manage data analytic projects. This is also targeted for managers who want to introduce data-driven management. So, the knowledge provided in this course is both theoretical and pragmatic, but not includes details of mathematics and coding. However, anyone who are beginners in data science are also welcome because this course can provide you with essentials for learning technical aspects of data science.

Takuma Kimura, Ph.D.
Scientist of Organizational Behavior and Business Analytics
  / takuma-kimura-ba6242104