References for: STATO_0000415

Full identifier: http://purl.obolibrary.org/obo/STATO_0000415

Nanopublication Part Subject Predicate Object Published By Published On
links a nanopublication to its pubinfo http://www.nanopub.org/nschema#hasPublicationInfo pubinfo
STATO_0000415
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.
Tobias Kuhn
2023-08-21T13:04:28.171Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
STATO_0000415
Tobias Kuhn
2023-08-21T13:04:28.171Z
links a nanopublication to its pubinfo http://www.nanopub.org/nschema#hasPublicationInfo pubinfo
STATO_0000415
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.
Tobias Kuhn
2023-08-21T13:00:58.988Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
STATO_0000415
Tobias Kuhn
2023-08-21T13:00:58.988Z
links a nanopublication to its pubinfo http://www.nanopub.org/nschema#hasPublicationInfo pubinfo
STATO_0000415
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.
Tobias Kuhn
2023-08-21T12:36:21.322Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
STATO_0000415
Tobias Kuhn
2023-08-21T12:36:21.322Z
links a nanopublication to its pubinfo http://www.nanopub.org/nschema#hasPublicationInfo pubinfo
STATO_0000415
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.
Tobias Kuhn
2023-08-21T12:34:49.052Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
STATO_0000415
Tobias Kuhn
2023-08-21T12:34:49.052Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
STATO_0000415
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.
Tobias Kuhn
2023-08-16T11:05:20.868Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
STATO_0000415
Tobias Kuhn
2023-08-16T11:05:20.868Z
links a nanopublication to its pubinfo http://www.nanopub.org/nschema#hasPublicationInfo pubinfo
STATO_0000415
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.
Simrat Deol
2023-05-31T16:06:21.558Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
STATO_0000415
Simrat Deol
2023-05-31T16:06:21.558Z
links a nanopublication to its pubinfo http://www.nanopub.org/nschema#hasPublicationInfo pubinfo
STATO_0000415
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.
Simrat Deol
2023-05-31T15:55:56.398Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
STATO_0000415
Simrat Deol
2023-05-31T15:55:56.398Z
links a nanopublication to its pubinfo http://www.nanopub.org/nschema#hasPublicationInfo pubinfo
STATO_0000415
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.
Simrat Deol
2023-05-31T15:52:02.207Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
STATO_0000415
Simrat Deol
2023-05-31T15:52:02.207Z
links a nanopublication to its pubinfo http://www.nanopub.org/nschema#hasPublicationInfo pubinfo
STATO_0000415
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.
Richa Sharma
2023-05-22T13:35:55.472Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
STATO_0000415
Richa Sharma
2023-05-22T13:35:55.472Z
links a nanopublication to its assertion http://www.nanopub.org/nschema#hasAssertion assertion
STATO_0000415
SUNIL UPADHYAY
2023-04-25T07:12:49.726Z