The phrase "algorithm is assessed on" is correct and usable in written English.
It can be used when discussing the criteria or metrics by which an algorithm's performance or effectiveness is evaluated.
Example: "The algorithm is assessed on its accuracy, speed, and ability to handle large datasets."
Alternatives: "algorithm is evaluated based on" or "algorithm is judged on".
The efficiency of the proposed algorithm is assessed on several benchmarks before applying the algorithm to identify the most relevant inputs of a double-diffusive convection model.
The efficiency of our domain decomposition algorithm is assessed on several test cases focusing on the modeling of the mass and energy exchanges at the interface between the geological formation and the ventilation galleries of geological radioactive waste disposal.
The performance of the mapping algorithm is assessed on its ability to accurately predict the observed mean EQ-5D value, minimise the mean absolute error where the error is generated using the difference between predicted and observed EQ-5D values, both for the entire sample and across the severity range [ 14].
Only the training data set was used for the function estimation by SVR and GPR, while the performance of each algorithm was assessed on the test data set.
The quality of the representations of care trajectories produced by the algorithm was assessed on a sample of patients for whom the care trajectories were constructed manually from data collected in the medical record (validation dataset).
The diagnostic performance of the constructed algorithm was assessed on a second independent set of tumour normal sample pairs, composed of 40 tumours, 47 normal lung samples taken distal to the tumour site and 7 samples of histologically normal lung immediately adjacent to the tumour (validation set 2, Table 1).
The performances of both algorithms are assessed on toy examples and a mining dataset.
System The algorithms were assessed on a pseudo-distributed environment.
The performance of each algorithm is assessed based on three standard measures: maximal link utilization, sum load, and the number of used links.
The performance of the proposed algorithm is assessed by numerical experiments on 12 benchmark problems.
The performance of the proposed algorithm is assessed resorting to real experiments based on the Rawseeds dataset as well as further realistic simulations.
