Metrics

Compare and Evaluate Object Detection Models From TorchVision Introduction What’s Object Detection Finetuning Pre-trained Models Image Data Formats Evaluation Metrics for Object Detection Challenges of Comparing Object Detection Models Using Comet...

Visualizing the performance of Fast RCNN, Faster RCNN, Mask RCNN, RetinaNet, and FCOSEach of our two-stage object detection models (in green and lightweight blue above) far out-perform the single-stage models in mean average precision,...

A Comprehensive Overview of Regression Evaluation Metrics

Principally, all metrics exploded in size, which is intuitively consistent. That will not be the case for sMAPE, which stayed the identical between each cases.I highly encourage you to mess around with such toy...

Machine Learning, Illustrated: Evaluation Metrics for Classification

A comprehensive (and colourful) guide to all the pieces you'll want to learn about evaluating classification modelsI spotted through my learning journey that I’m an incredibly visual learner and I appreciate using color and...

Traditional Versus Neural Metrics for Machine Translation Evaluation

100+ latest metrics since 2010COMET and BLEURT rank at the highest while BLEU appears at the underside. Interestingly, you can even notice on this table that there are some metrics that I didn’t write...

Mastering the Art of Regression Evaluation: 5 Key Metrics Every Data Scientist Should Know The residuals 1. The mean squared error (MSE) 2. The basis mean square...

The definitive guide on all of the knowledge it's best to have on the metrics utilized in regression evaluationNormally, it is strongly recommended to make use of the adjusted R² when we now have...

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