Evaluate Model
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Evaluate Model
Model evaluation in Skyl.ai allows you to evaluate your image multiclass models using a test dataset. You can automatically compare how well your models are performing by to the true data. This can be done through uploading a completed .csv and viewing the test results by clicking on the dataset.
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Select ‘Evaluate Model’ under Machine Learning
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Select ‘Start a New Model Evaluation’ on the top right-hand corner of the screen’
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Select which deployed model you would like to test and evaluate under “Select a Deployed Model”
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Check that your.csv file has the proper schema by selecting “Download Model Evaluation Schema” above the blue box
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Upload your .csv file by dragging and dropping into the blue box or choosing it from a local file
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Preview your .csv file before evaluation process
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Click “Start Evaluation” to start the evaluation process or “Cancel” to cancel the evaluation
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Wait until evaluation process will be completed
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Review prediction confidence, evaluation result, performance metrics, and class metrics
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Download evaluation result as .csv file
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