Class probability distribution
A class probability distribution is a set of estimated probabilities assigned to the possible classes for an input, typically nonnegative and summing to one.
Data Without Labels
A probability score is a numerical estimate between zero and one representing the predicted probability of a classification event.
- How it is used
- Frames classification outputs as probability scores for deciding whether categorical target events will occur.
- How deep it goes
- Defines binary and multiclass scores and motivates sigmoid-based outputs, without detailing model training or decision thresholds.
- Examples
- Uses telecom subscriber churn with revenue, service duration, average cost, and monthly usage as illustrative predictors.
- What you can do after
- Apply probability scores to make final decisions for unseen classification cases.
Read how Data Without Labels explains class probability distribution →
Deep Learning with R, Third Edition
A class probability is a model's estimated probability that an input belongs to a particular class, represented here as a distribution across all classes.
- How it is used
- Uses one probability vector per input to classify digits or distinguish among 46 text topics.
- How deep it goes
- Explains vector structure, normalization, maximum selection, softmax, and categorical crossentropy without deriving the underlying mathematics.
- Examples
- Demonstrates distributions with MNIST digit predictions and a 46-class topic-classification model.
- What you can do after
- Apply it via Keras predict(), inspect class scores, verify normalization, and select the highest-probability class.
Read how Deep Learning with R, Third Edition explains class probability distribution →
Related concepts
- predict_probaproduced by · predict_proba is a classifier method that returns estimated probabilities for each possible class for supplied input samples.
- LogitBoostused by · LogitBoost is a boosting algorithm that constructs an ensemble by optimizing logistic loss, typically through probability-based classification updates.
- softmaxproduced by · Softmax is a function that exponentiates a vector of scores and normalizes the results into nonnegative values that sum to one.
- generationused by · Generation is the computational production of outputs from supplied inputs or context, often by applying a model to produce predictions or new content.
- categoryproduces · A category is a distinct class or label used to group or classify items, observations, or outcomes by type or shared meaning.
- probability distributionequivalent to · A probability distribution is a mathematical specification assigning probabilities to the possible values or outcomes of a random variable, with total probability one.
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