Nanopublications LDF server

Matches in Nanopublications for { ?s ?p ?o <http://purl.org/np/RAotgc_pjMsUu2M5Qh3K4rZeSsQu6wLRnzPtQ6dHGFieY#assertion>. }

• algorithm type GuidedChoicePlaceholder assertion.
• run-description type LongLiteralPlaceholder assertion.
• st12 type OptionalStatement assertion.
• task type GuidedChoicePlaceholder assertion.
• dataset type UriPlaceholder assertion.
• st50 type OptionalStatement assertion.
• run type LocalResource assertion.
• evaluation type LocalResource assertion.
• evaluation-value type LiteralPlaceholder assertion.
• run-label type LiteralPlaceholder assertion.
• dataset-label type LiteralPlaceholder assertion.
• evaluation-measure type GuidedChoicePlaceholder assertion.
• assertion type AssertionTemplate assertion.
• type label "is a - connects a thing (left) to a class it belongs to (right)" assertion.
• label label "has the label - connects a thing (left) to its human-readable label (right)" assertion.
• description label "textual description of the experiment run - connects a thing to a human-readable description of that thing." assertion.
• hasInput label "uses as input - A relation between a run and data that is taken as input to the run." assertion.
• Q6975395 label "F1 score - measure of a test's accuracy" assertion.
• algorithm label "the used algorithm (e.g. Random Forest)" assertion.
• task label "the task performed (e.g. Spam Detection)" assertion.
• dataset label "the URL of the used dataset" assertion.
• run label "this run" assertion.
• evaluation label "an evaluation" assertion.
• evaluation-value label "value of the evaluation result (e.g. 0.81 if the accuracy is 81%)" assertion.
• run-label label "name or label of the experiment run" assertion.
• dataset-label label "the name of the dataset" assertion.
• evaluation-measure label "the evaluation measure (e.g. Accuracy)" assertion.
• assertion label "Publishing the evaluation result of a Machine Learning experiment" assertion.
• realizes label "executes an implementation of the algorithm - A relation between a run and an algorithm, where the run executes an implementation of the algorithm." assertion.
• hasValue label "has the result value - assigns a numerical value denoting the measured result of an evaluation" assertion.
• hasOutput label "has as output - A relation between a run and either a model or model evaluation that is produced on it's output." assertion.
• Run label "run of a Machine Learning experiment - Run is an execution of an implementation on a machine (computer). It is limited in time (has a start and end point), can be successful or failed." assertion.
• specifiedBy label "measures - A relation between an entity and the information content entity that specifies it." assertion.
• achieves label "performs the task - A relation between a run and a task, where the run achieves specifications formulated by the task." assertion.
• STATO_0000416 label "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)" assertion.
• STATO_0000415 label "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." assertion.
• st12 object run-description assertion.
• st11 object run-label assertion.
• st10 object Run assertion.
• st70 object evaluation-measure assertion.
• st30 object task assertion.
• st50 object dataset-label assertion.
• st20 object algorithm assertion.
• st80 object evaluation-value assertion.
• st40 object dataset assertion.
• st60 object evaluation assertion.
• st12 predicate description assertion.
• st11 predicate label assertion.
• st10 predicate type assertion.
• st70 predicate specifiedBy assertion.
• st30 predicate achieves assertion.
• st50 predicate label assertion.
• st20 predicate realizes assertion.
• st80 predicate hasValue assertion.
• st40 predicate hasInput assertion.
• st60 predicate hasOutput assertion.
• st12 subject run assertion.
• st11 subject run assertion.
• st10 subject run assertion.
• st70 subject evaluation assertion.
• st30 subject run assertion.
• st50 subject dataset assertion.
• st20 subject run assertion.
• st80 subject evaluation assertion.
• st40 subject run assertion.
• st60 subject run assertion.
• assertion description "<p>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 <a href="https://ml-schema.github.io/documentation/ML%20Schema.html">ML Schema</a>.</p> <p>If needed, define your <a ref="/publish?template=http://purl.org/np/RAZxw5zhGdfdpQrY3bsXtO8PeJmNW-pmae8ZK3cLw08Uo&template-version=latest&param_class=http://www.w3.org/ns/mls%23Algorithm">algorithm</a>, <a ref="/publish?template=http://purl.org/np/RAZxw5zhGdfdpQrY3bsXtO8PeJmNW-pmae8ZK3cLw08Uo&template-version=latest&param_class=http://www.w3.org/ns/mls%23Task">task</a>, or <a ref="/publish?template=http://purl.org/np/RAZxw5zhGdfdpQrY3bsXtO8PeJmNW-pmae8ZK3cLw08Uo&template-version=latest&param_class=http://www.w3.org/ns/mls%23EvaluationMeasure">evaluation measure</a> first.</p>" assertion.
• assertion hasStatement st12 assertion.
• assertion hasStatement st11 assertion.
• assertion hasStatement st10 assertion.
• assertion hasStatement st70 assertion.
• assertion hasStatement st30 assertion.
• assertion hasStatement st50 assertion.
• assertion hasStatement st20 assertion.
• assertion hasStatement st80 assertion.
• assertion hasStatement st40 assertion.
• assertion hasStatement st60 assertion.
• evaluation-measure possibleValue Q6975395 assertion.
• evaluation-measure possibleValue STATO_0000416 assertion.
• evaluation-measure possibleValue STATO_0000415 assertion.
• algorithm possibleValuesFromApi "https://www.wikidata.org/w/api.php?action=wbsearchentities&language=en&format=json&limit=5&search=" assertion.
• algorithm possibleValuesFromApi "https://www.ebi.ac.uk/ols/api/select?fieldList=iri,label,description&q=" assertion.
• algorithm possibleValuesFromApi "http://purl.org/nanopub/api/find_signed_things?type=http%3A%2F%2Fwww.w3.org%2Fns%2Fmls%23Algorithm&searchterm=" assertion.
• task possibleValuesFromApi "https://www.wikidata.org/w/api.php?action=wbsearchentities&language=en&format=json&limit=5&search=" assertion.
• task possibleValuesFromApi "https://www.ebi.ac.uk/ols/api/select?fieldList=iri,label,description&q=" assertion.
• task possibleValuesFromApi "http://purl.org/nanopub/api/find_signed_things?type=http%3A%2F%2Fwww.w3.org%2Fns%2Fmls%23Task&searchterm=" assertion.
• evaluation-measure possibleValuesFromApi "https://www.ebi.ac.uk/ols/api/select?ontology=stato&fieldList=iri,label,description&q=" assertion.
• evaluation-measure possibleValuesFromApi "http://purl.org/nanopub/api/find_signed_things?type=http%3A%2F%2Fwww.w3.org%2Fns%2Fmls%23EvaluationMeasure&searchterm=" assertion.
• assertion hasTag "Machine Learning" assertion.