Model Probability & Calibration
<aside> 💡 These distributions are fundamental in statistics and data analysis, as they provide insights into the nature of the data and inform appropriate analytical strategies.
</aside>
Characterized by a symmetric bell-shaped curve, where most of the data points cluster around the mean, with fewer and fewer appearing as you move away from the mean.
Each value within a certain range has an equal probability of occurring. The distribution is flat, with no peaks.
Describes the number of successes in a fixed number of trials, with each trial having the same probability of success. It is characterized by a peak at the most probable number of successes.
Used for count-based data, like the number of events happening in a fixed interval of time or space. It is characterized by a peak at lower values, with the frequency of values decreasing as they increase.