Decko048
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1 year ago ### Data, Data Science, Machine Learning, AI
Classification models are used in classification problems to predict the target class of the data sample. The classification model predicts the probability that each instance belongs to one class or another. It is important to evaluate the performance of the classifications model in order to reliably use these models in production for solving real-world problems.
As a data scientist, you must get a good understanding of concepts related to the above in relation to measuring classification models’ performance. Before we get into the details of the performance metrics as listed above, lets understand key terminologies such as true positive, false positive, true negative and false negative with the help of confusion matrix. These terminologies will be used across different performance metrics.
Operations teams are comprised of personnel that require distinct perspectives, from an operator on the plant floor managing a production line, to an operations technician monitoring the performance of in-the-field assets, a control room supervisor overseeing the daily operations of the facility, or a global director ensuring optimal supply chain performance. The information and tools available shape your awareness of operations and empower with the insights necessary to make faster and more informed decisions.
Simplicity: easy to choose offers that reduce purchase and adoption complexity. Unlimited: no limitations on IO, tags, or devices to expand information access to more users Outcome Focused: transform with unparalleled insights and digitize work processes and knowledge Comprehensive: capability that goes beyond core HMI/SCADA to drive operations excellence
Creating dashboards and visualizations.
Business leaders seeking to accelerate their digital business aspirations will need to consider how they (and their organization) make decisions. Digital aspirations will be scaled when the organization can take advantage of the ability to make more connected decisions that are more contextualized and operate in a continuous manner.
Progressive organizations are already complementing the best of human decision-making capabilities with the power of data and analytics. Explore the latest insights by Gartner that can help you build a solid decision making framework with data and analytics.
Progressive data and analytics (D&A) leaders are shifting the conversation away from tools and technology toward decision making as a business competency. Learn the different ways in which decisions are made within organizations and get practical steps to improve the quality of your decision making.