The phrase "a function of features" is correct and usable in written English.
It can be used in contexts where you are discussing how certain characteristics or attributes contribute to a particular outcome or behavior.
Example: "The performance of the software is a function of features such as speed, reliability, and user interface design."
Alternatives: "dependent on characteristics" or "determined by attributes".
The relationship between health, disability, and employment is not just a function of individual characteristics but also a function of features of the workplace and physical environment.
In many cases, our attitude regarding risks is a function of features of the situation that are not correlated directly with the risk level, such as our perceived level of control and our familiarity with the activity (Tversky, Kahneman 1974; Tversky, Kahneman 1981; Slovic 1987; Weinstein 1989).
Similar behavior was obtained using different classifiers, indicating that our results are a function of features and not of classifiers.
2) The transition time is determined by a single transition rate λ, and the outcome (blue vs red cell) is determined by a probability p, which might again be a function of features such as cell density.
These methods enable researchers to identify differences in outcomes as a function of features of the intervention and/or patient population, and, in so doing, support efforts to create effective and efficient disease management strategies.
Third, the evaluation is transparent since the classification accuracy was examined as a function of feature set size (from top one to ten pathways, ranked by t-test on pathway-level aggregated data), instead of at a fixed arbitrary number of features, or an optimized number of features that results in the best performance in the validation dataset [ 8].
Balanced accuracy was examined as a function of feature set size (from top one to ten pathways, ranked by t-test on pathway-level aggregated data), instead of at a fixed arbitrary number of features, or an optimized number of features that results in the best performance in the validation dataset [ 8].
However, car body displacement is a function of characteristic features of the rail vehicle such as suspension properties, masses, and inertia.
The parameter matrix Z is learnt using a training set of OMIM gene disease associations, and predictions for a disease are obtained as a function of the features of all genes and the feature vector for the disease.
In this spirit, our classification procedure begins with the detection of TE features in the consensus sequences, and a decision tree classifying each consensus as a function of these features is then produced (Figure 3).
A wind power prediction method was previously attempted in Tasnim et al. (2014) by modelling predictions as a function of statistical features extracted from raw time series data.
