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An introduction to an informative and factual blog post titled “Confusion Matrix and cybersecurity”.

The complete lifecycle of Predictive modeling includes Data Cleaning, Pre-processing, and Data Wrangling. Now comes the stage where we try to fit in the model and the end goal is to achieve Low Bias and Low Variance. The most important step is Model Evaluation post Model Creation. The validation metrics are the parameters we look into to evaluate the performance of our model. We often fail to understand the resultant validation metrics. …

rohit rsb

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