. . . . "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." . "precision - precision or positive predictive value is defined as the proportion of the true positives against all the positive results (both true positives and false positives)" . . "the used algorithm (e.g. Random Forest)" . "http://purl.org/nanopub/api/find_signed_things?type=http%3A%2F%2Fwww.w3.org%2Fns%2Fmls%23Algorithm&searchterm=" . "https://www.ebi.ac.uk/ols/api/select?fieldList=iri,label,description&q=" . "https://www.wikidata.org/w/api.php?action=wbsearchentities&language=en&format=json&limit=5&search=" . "Such a nanopublication describes the results of a Machine Learning experiment, such as the accuracy achieved by a applying a given ML technique on a given dataset. This template is based on ML Schema." . . "Publishing the evaluation result of a Machine Learning experiment" . . . . . . . . . "Machine Learning" . . "the URL of the used dataset" . . "the name of the dataset" . . "an evaluation" . . "the evaluation measure (e.g. Accuracy)" . . . "http://purl.org/nanopub/api/find_signed_things?type=http%3A%2F%2Fwww.w3.org%2Fns%2Fmls%23EvaluationMeasure&searchterm=" . "https://www.ebi.ac.uk/ols/api/select?ontology=stato&fieldList=iri,label,description&q=" . . "value of the evaluation result (e.g. 0.81 if the accuracy is 81%)" . . "this run" . . . . . . . . . . . . . . . . . . . . . . . . . . . "the task performed (e.g. Spam Detection)" . "http://purl.org/nanopub/api/find_signed_things?type=http%3A%2F%2Fwww.w3.org%2Fns%2Fmls%23Task&searchterm=" . "https://www.ebi.ac.uk/ols/api/select?fieldList=iri,label,description&q=" . "https://www.wikidata.org/w/api.php?action=wbsearchentities&language=en&format=json&limit=5&search=" . "is a" . "has the name" . "run of a Machine Learning experiment" . "performs the task" . "uses as input" . "has as output" . "has the result value" . "executes an implementation that implements the algorithm" . "measures" . . "RSA" . "MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQKBgQCjDGQCS1S+SRnERDuYDXOugdYUP0efEquHJEEHAbU/uLzBVlga89zqrNPCS7fBE6lArBUWEmT8eLKdMapyqvAzI1J3jUWTMhDJF+XFBkUiuiFfNSc4vJJcmi0yujtnuzXsRIG202jyaP4f5ULoskFwaZOSBZJfiE0dsB3D7DTIAQIDAQAB" . "DaPOAaMsf/mubfnbMDLAJyoxnuw14IkGeb6jfR8ILJqsJKsnVluRC+zmqGGP5XFC0H6tieXoHKCHjnk6ZgCp+V1OaLbUkV2OxfJMZkJkFe/xVonl/cxxtJN8whKBNivl1W8VqrhXr1uN+ugmcSNmygT0M+bGAtcaDOo4qXvzkJw=" . . "2023-04-12T09:49:45.636Z"^^ . . . . . . .