Examples of using Classification model in English and their translations into Spanish
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Define your own classification models using rules,
For example, classification models make predictions that answer questions like the following.
Choose from different classification models, dictionaries and sentiment models. .
CPL-DS is general as it can be applied to several classification models.
Accuracy is one metric for evaluating classification models.
Expert system for automatic analysis based on classification models(optional).
MeaningCloud offers tools that combine two technologies to create classification models.
incorporate your own entities, create your classification models and adapt the functioning of the system to your scenario.
The API features various predefined standard classification models, but you can also define your own classification schemes or models. .
The classification models of MeaningCloud's Text Classification API combine a statistical model and/or classification rules.
Decision trees(DT) are classification models where a series of questions
which offers different predefined and standard classification models e.g.
The personal classification models management tool lets you create taxonomies(composed of hierarchies of categories) and build classification models for them.
Learn in this webinar how to use MeaningCloud's tools to create classification models completely adapted to your scenario.
In particular, the tool for developing classification models enables you to create models that combine two technologies:
a personalization engine based on graphical tools that enable users to create their own classification models and dictionaries in a simple, interactive way.
Decision Trees creates a tree-based classification model.
Otherwise, the current classification model is kept unchanged.
Decision trees are a special type of classification model.
Application of a predictive classification model based on neural networks.