Examples of using Classification model in English and their translations into Chinese
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Add a classification model.
Armoured personnel carrier classification model.
We ran a deep learning classification model using the same feature engineering and noise removal process.
For example, in the K-nearest neighbor classification model….
For example, a classification model can be used to identify loan applicants as low, medium, or high credit risks[4].
Annex I.B. 3 Armoured personnel carrier classification model.
We will develop an image classification model that takes two versions of the image as input, each of a different size.
The use of Bayes theorem gives this classification model its name.
We use a classification model to“learn” the connection between the raw data, the calculated energy, and the movement types.
Armoured personnel carrier classification model-- explanatory notes.
A new observation is feed into all the trees andtaking a majority vote for each classification model.
Build your First Image Classification Model in just 10 Minutes!
Since no training data is required,it also brings down the cost and time it takes to build a text classification model.
AdaBoost builds an ensemble classification model during training.
The classification model based on the analysis of the meta genomic association can also help to determine the efficacy of DMARDs.
Annex I.B. 2 Armoured personnel carrier classification model-- explanatory notes.
Behind the scenes, a data classification model should include metadata that sticks with the newly created document throughout its life.
It's common for some organizations to try to apply a data classification model to existing documents.
Assessing fairness in binary classification models: The image classification model for smile detection mentioned above.
Right around the time you get your first basic regression or classification model going, it will at least cross your mind.
A classification model based on capabilities in an objective, consistent and unambiguous manner would assist the Secretariat in facilitating the reimbursement process.
Anyone familiar with the process of building a text classification model would know that it involves three steps listed below.
Deploy and test the classification model manually by collecting scoring data, modifying the existing stream in SPSS Modeler to analyze and score the movement data.
Knowledge of the enterprise's risk management framework(including the risk classification model used to support risk identification and assessment).
For example, a natural language processing classification model could determine whether an input sentence was in French, Spanish, or Italian.
Stoudenmire andSchwab used the encoding just described to make an image classification model, demonstrating a new use for tensor networks.
For example, a natural language processing classification model could determine whether an input sentence was in French, Spanish, or Italian.
As the target variable is not continuous,binary classification model predicts the probability of a target variable to be Yes/No.
The vector of raw(non-normalized) predictions that a classification model generates, which is ordinarily then passed to a normalization function.