19 Questions assigns attributes to objects using machine learning and Bayesian inference, according to its project description.
CardMagic-Classifier
CardMagic-Classifier provides a general module for Bayesian and latent semantic indexing classification.

About CardMagic-Classifier
CardMagic-Classifier is a text classification module with Bayes, logistic regression, LSI, and k-nearest neighbors classifiers, plus TF-IDF term weighting. Its docs recommend starting with Bayes for most text classification tasks and include command-line tools for training, classifying, and managing models.
Pricing is not clearly stated.
Key features
- Bayes classification trains in one pass and needs no fit step
- Logistic regression provides calibrated probabilities and adds a fit step after training
- LSI covers semantic similarity, search, related documents, and summaries
- k-nearest neighbors shows the nearest examples and their votes
- TF-IDF provides term weights, n-grams, and document frequency filters
- Persistence supports save/load, storage backends, and custom backends
- Streaming training handles data larger than memory
CardMagic-Classifier at a glance
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Details verified
- Oct 22, 2026 · Official source
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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