Examples of 'classification model' in a sentence
Meaning of "classification model"
A computational algorithm or system that is used to classify or categorize data into different classes or groups based on their characteristics or features. It is commonly used in machine learning and data mining tasks to automatically assign labels or categories to data based on patterns or training examples
How to use "classification model" in a sentence
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classification model
Build an image classification model with CNNs.
A classification model was prepared for assisting on images analysis.
Based on these genes a final classification model was constructed.
A simple classification model is easier to remember and follow.
Armoured personnel carrier classification model.
Diabetes classification model based on boosting algorithms.
This component supports only binary classification model.
Build a classification model allow your apps to make predictions.
Logistic regression is a type of probabilistic statistical classification model.
Developer of an automatic classification model for multispectral images.
These must be entered in the form of the predefined classification model.
Risk classification model.
The number of selected features varies for each classification model.
The classification model may be improved continuously and trained incrementally with new data.
Development and pilot of a faceted classification model on a group of eighteen users.
See also
This function and this threshold constitute a multivariate classification model.
The second classification model may indicate confidence levels associated with the correspondence.
Researchers studied crowd psychology and yielded a classification model incorporating behaviour recognition.
The selected informative probes based on occurrence criterion were used to construct a classification model.
Knowledge of methods to establish an information asset classification model consistent with business objectives.
The classification model can then be used to classify the unknown samples into classes.
The data is classified using a pattern recognition process that uses a classification model.
The first classification model may also indicate confidence levels associated with the correspondence.
The solution involves automating the creation of the image classification model or object detection model.
This classification model is widely used in Chinese herbology.
You will learn about building a classification model using the Keras library.
The Split Validation operator is applied on it for training and testing a classification model.
Development of a classification model in disability sport PDF.
The VC dimension can predict a probabilistic upper bound on the test error of a classification model.
The HS classification model in Uruguay was also discussed by participants.
Selected genes and nature of level Example of multivariate classification model Name of.
The Classification Model defines the standards which components should meet.
Armoured personnel carrier classification model - explanatory notes.
In one embodiment, there may be two stages to obtain the classification model.
The standardized business classification model developed at Statistics Canada comprises several statistical entities.
K-nearest neighbors is another widely used classification model.
Preferably, said multivariate classification model is a particularly discriminating system.
From these samples, the team developed a classification model.
Formally, the capacity of a classification model is related to how complicated it can be.
A function that provides probabilities for each possible class in a multi-class classification model.
Our Mobile Classification Model is also integrated with a standardized, proven and recognized classification system: Mosaicâ„¢.
Develop a women-specific classification model.
In particular, the classification model is explainable, simple and flexible.
Followed by formatting using MXNet RecordIO, we then trained the gender classification model on SageMaker.
Furthermore, said classification model belongs to the group comprising,.
The method according to claim 1, in which said multivariate classification model has,.
Multivariate classification model may, for example, be constructed, in particular constructed in advance, as follows,.
A test assessing the goodness-of-fit of a classification model is the " percentage correctly predicted.
The classification model 128 includes one or more features that distinguish a malicious account from benign account.
Secondly, an impartial selection ( not skewed ) of the best classification model parameters must be made.
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