Improving the discovery of near-Earth objects with machine-learning methods

Open Access

Table 6

Confusion matrices for filters 0–2 using 2024 NEOCP data and filters derived from 2019–2023 data.

True Label	Predicted label
	Filter 0			Filter 1			Filter 2
	Non-NEO	Unclassified	Total	Non-NEO	Unclassified	Total	Non-NEO	Unclassified	Total
NEO	3	3424	3427	4	3423	3427	4	3423	3427
Non-NEO	159	1149	1308	252	1056	1308	278	1030	1308

Notes. Most of the data are not classified, but the precision of classifying non-NEOs among the classified sample is very high (≫99%).

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.