The performance of a classification model where the prediction is a probability value between 0 and 1 is measured by logarithmic loss (or log loss). As the anticipated probability diverges from the actual label, log loss grows. For Kaggle contests, log loss is a popular measure.
The evaluation of performance is an important part of the machine learning process. It is, however, a difficult task. As a result, it must be carried out with caution if machine learning can be applied to radiation oncology or other fields with confidence.
Model assessment is the process of analysing a machine learning model's performance, as well as its strengths and weaknesses, using various evaluation criteria. Model evaluation is critical for determining a model's efficacy during the early stages of research, as well as for model monitoring.
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happy
4
Course is nice but where is the link for installation of Anaconda
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Digvijay Kewale
4
Course is good understandable but I am not able to download resources (one star less only for this not able to download resources)
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Shivendra Shahi
5
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Sandeep Kumar
5
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Sucheta Kumari
5
Course content and explanation method is just awesome. I like the way they presenting and specially at the end of each video content they feeding next intro content which makes motivated, excited .
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