Evaluating Model Metrics
Keyon explains the use of perplexity as a metric to evaluate the performance of a probabilistic model in predicting job transitions. He highlights how the model assigns probabilities to different jobs and how perplexity helps aggregate and compare these probabilities to assess the accuracy of the model's predictions.In this clip
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Data Skeptic
CAREER Prediction
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