# Probabilistic Model Evaluation

- [Introduction](/cloud/v0.24.0/probabilistic-model-evaluation/introduction.md): What is Probabilistic Model Evaluation and when to use it.
- [Tutorials](/cloud/v0.24.0/probabilistic-model-evaluation/tutorials.md)
- [Evaluating a binary classification model](/cloud/v0.24.0/probabilistic-model-evaluation/tutorials/evaluating-a-binary-classification-model.md): Showcasing how to perform model evaluation.
- [Data Preparation](/cloud/v0.24.0/probabilistic-model-evaluation/tutorials/data-preparation.md): Preparing your model data for NannyML
- [How it works](/cloud/v0.24.0/probabilistic-model-evaluation/how-it-works.md): This section describes the core algorithms of Probabilistic Model Evaluation that is the way the probability distributions for performance metrics are estimated.
- [HDI+ROPE (with minimum precision)](/cloud/v0.24.0/probabilistic-model-evaluation/how-it-works/hdi+rope-with-minimum-precision.md): This page explains Bayesian HDI+ROPE decision rule (with minimum precision).
- [Getting Probability Distribution of a Performance Metric with targets](/cloud/v0.24.0/probabilistic-model-evaluation/how-it-works/getting-probability-distribution-of-a-performance-metric-with-targets.md): This page describes how NannyML estimates probability distribution of a performance metric when the targets are available.
- [Getting Probability Distribution of Performance Metric without targets](/cloud/v0.24.0/probabilistic-model-evaluation/how-it-works/getting-probability-distribution-of-performance-metric-without-targets.md): This page describes how NannyML estimates the probability distribution of a performance metric when targets are not available.
- [Getting Probability Distribution of Performance Metric when some observations have labels](/cloud/v0.24.0/probabilistic-model-evaluation/how-it-works/getting-probability-distribution-of-performance-metric-when-some-observations-have-labels.md): This page describes how NannyML estimates probability distribution of a performance metric when some observations have labels while other don't.
- [Defaults for ROPE and estimation precision](/cloud/v0.24.0/probabilistic-model-evaluation/how-it-works/defaults-for-rope-and-estimation-precision.md): This pages explains how NannyML calculates default values for ROPE and precision.