The phrase "a ranking model" is correct and usable in written English.
It can be used in contexts related to data analysis, machine learning, or any situation where items are evaluated and ordered based on certain criteria.
Example: "The researchers developed a ranking model to assess the performance of various algorithms in predicting outcomes."
Alternatives: "a scoring model" or "a classification model".
Amindoust et al. (2012) introduced a ranking model based on the fuzzy inference system for selecting the sustainable supplier.
The challenge for achieving this resides in the definition of a ranking model and process that will enjoy a broader acceptance.
We should evaluate growth relative to industry peers and then from among this cut of stocks, select the top 25 according to a ranking model that evaluates a cross section of fundamentals.
Different from the previous works, the proposed method not only targets at preserving the local manifold structure of data, but also keeps the ordinal information among different data blocks in the low-dimensional subspace, where a ranking model can be learned effectively and efficiently.
The 94 network features were combined into SVM using the liblinear package to obtain a ranking model.
This situation is unsatisfying and not transparent, therefore the Austrian Association of Cities commissioned the Institute for Transport Studies to develop a standardised ranking model for urban transport measures.
Particularly, we are interested in seeing if this distribution can be reproduced by a single ranking model for all sports and games considered.
This perspective of a ranking network is nearly impossible for a purely sequential ranking model based on Bayesian analysis, even for a relatively small society.
In the coming months, we will be moving from per-channel enforcements to a more sophisticated ranking model where the amount of distribution that content gets will be a direct function of its quality.
Mihalcea and Tarau [30] propose TextRank, a graph-based ranking model, for text processing such as keyword and sentence extraction.
By using a scoring or ranking model, management can establish consensus among panel members through repeated problem scoring, discussion, feedback and, if necessary, rescoring or reranking.
