Model Evaluation

Model evaluation is the process of assessing the performance and effectiveness of a machine learning model by comparing its predictions with known ground truth data.

MarkovML streamlines this process by enabling you to record model evaluations using the Markov SDK, providing insights such as precision, recall, F1-score, accuracy, ROC and PR curves, model disagreements, and more for comprehensive analysis and optimization.

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Setup required

If you haven't already, please install the MarkovML SDK on your system before continuing with this Setup MarkovML SDK. See the Setup Your Machine guide for more details.