Matches in Nanopublications for { ?s <https://w3id.org/np/o/ntemplate/hasLabelFromApi> ?o ?g. }
- Q7367 hasLabelFromApi "Culicidae - family of nematoceran flies" pubinfo.
- Q2199 hasLabelFromApi "dwarf planet - planetary-mass object in hydrostatic equilibrium but which has not cleared its neighborhood" pubinfo.
- NanoSession hasLabelFromApi "Nano Session - by Tobias Kuhn" pubinfo.
- Q1492760 hasLabelFromApi "teenager - young person (between 13 and 19 years old)" pubinfo.
- Q9158 hasLabelFromApi "email - method of electronically exchanging digital messages between people over a network" pubinfo.
- Q9584157 hasLabelFromApi "adult human - adult member of the human species" pubinfo.
- Q484847 hasLabelFromApi "e-commerce - type of business industry usually conducted over the Internet" pubinfo.
- Q485396 hasLabelFromApi "analytics - discovery, interpretation, and communication of meaningful patterns in data" pubinfo.
- STATO_0000415 hasLabelFromApi "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." pubinfo.
- STATO_0000415 hasLabelFromApi "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." pubinfo.
- STATO_0000415 hasLabelFromApi "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." pubinfo.
- STATO_0000415 hasLabelFromApi "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." pubinfo.
- STATO_0000415 hasLabelFromApi "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." pubinfo.
- STATO_0000415 hasLabelFromApi "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." pubinfo.
- STATO_0000415 hasLabelFromApi "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." pubinfo.
- STATO_0000415 hasLabelFromApi "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." pubinfo.
- STATO_0000415 hasLabelFromApi "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." pubinfo.
- STATO_0000415 hasLabelFromApi "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." pubinfo.
- STATO_0000415 hasLabelFromApi "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." pubinfo.
- STATO_0000415 hasLabelFromApi "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." pubinfo.
- STATO_0000415 hasLabelFromApi "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." pubinfo.
- STATO_0000415 hasLabelFromApi "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." pubinfo.
- STATO_0000415 hasLabelFromApi "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." pubinfo.
- STATO_0000415 hasLabelFromApi "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." pubinfo.
- Q102190569 hasLabelFromApi "text classification - classification of texts" pubinfo.
- Q102190569 hasLabelFromApi "text classification - classification of texts" pubinfo.
- Q102190569 hasLabelFromApi "text classification - classification of texts" pubinfo.
- Q102190569 hasLabelFromApi "text classification - classification of texts" pubinfo.
- Q245748 hasLabelFromApi "random forest - statistical algorithm that is used to cluster points of data in functional groups" pubinfo.
- Q245748 hasLabelFromApi "random forest - statistical algorithm that is used to cluster points of data in functional groups" pubinfo.
- Q245748 hasLabelFromApi "random forest - statistical algorithm that is used to cluster points of data in functional groups" pubinfo.
- Q110688486 hasLabelFromApi "machine learning algorithm - type of algorithm" pubinfo.
- Q110688486 hasLabelFromApi "machine learning algorithm - type of algorithm" pubinfo.
- locally-deep-svm hasLabelFromApi "Locally Deep Support Vector Machine - by Tobias Kuhn" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by (unknown)" pubinfo.
- FIP.15.T9 hasLabelFromApi "FIP.15.T9 | PARC FIP1 T9 - by Barbara Magagna" pubinfo.
- FIP.15.T9 hasLabelFromApi "FIP.15.T9 | PARC FIP1 T9 - by Barbara Magagna" pubinfo.
- FIP.15.T9 hasLabelFromApi "FIP.15.T9 | PARC FIP1 T9 - by Barbara Magagna" pubinfo.
- FIP.15.T9 hasLabelFromApi "FIP.15.T9 | PARC FIP1 T9 - by Barbara Magagna" pubinfo.
- FIP.15.T9 hasLabelFromApi "FIP.15.T9 | PARC FIP1 T9 - by Barbara Magagna" pubinfo.
- FIP.15.T9 hasLabelFromApi "FIP.15.T9 | PARC FIP1 T9 - by Barbara Magagna" pubinfo.
- FIP.15.T9 hasLabelFromApi "FIP.15.T9 | PARC FIP1 T9 - by Barbara Magagna" pubinfo.
- FIP.15.T9 hasLabelFromApi "FIP.15.T9 | PARC FIP1 T9 - by Barbara Magagna" pubinfo.
- FIP.15.T9 hasLabelFromApi "FIP.15.T9 | PARC FIP1 T9 - by Barbara Magagna" pubinfo.
- FIP.15.T9 hasLabelFromApi "FIP.15.T9 | PARC FIP1 T9 - by Barbara Magagna" pubinfo.
- FIP.15.T9 hasLabelFromApi "FIP.15.T9 | PARC FIP1 T9 - by Barbara Magagna" pubinfo.
- FIP.15.T9 hasLabelFromApi "FIP.15.T9 | PARC FIP1 T9 - by Barbara Magagna" pubinfo.
- FIP.15.T9 hasLabelFromApi "FIP.15.T9 | PARC FIP1 T9 - by (unknown)" pubinfo.
- Q215627 hasLabelFromApi "person - being that has certain capacities or attributes constituting personhood (avoid use with P31; use Q5 for humans)" pubinfo.
- Q215627 hasLabelFromApi "person - being that has certain capacities or attributes constituting personhood (avoid use with P31; use Q5 for humans)" pubinfo.
- Q215627 hasLabelFromApi "person - being that has certain capacities or attributes constituting personhood (avoid use with P31; use Q5 for humans)" pubinfo.
- Q215627 hasLabelFromApi "person - being that has certain capacities or attributes constituting personhood (avoid use with P31; use Q5 for humans)" pubinfo.
- Q215627 hasLabelFromApi "person - being that has certain capacities or attributes constituting personhood (avoid use with P31 [instance of]; use Q5 [human] for humans)" pubinfo.
- Q354335 hasLabelFromApi "Harrison Birtwistle - English composer (1934–2022)" pubinfo.
- Q354335 hasLabelFromApi "Harrison Birtwistle - English composer (1934–2022)" pubinfo.
- RO_0002303 hasLabelFromApi "has habitat" pubinfo.
- RO_0002303 hasLabelFromApi "has habitat" pubinfo.
- RO_0002303 hasLabelFromApi "has habitat" pubinfo.
- RO_0002303 hasLabelFromApi "has habitat" pubinfo.
- RO_0002303 hasLabelFromApi "has habitat" pubinfo.
- RO_0002303 hasLabelFromApi "has habitat" pubinfo.
- RO_0002303 hasLabelFromApi "has habitat" pubinfo.
- RO_0002303 hasLabelFromApi "has habitat" pubinfo.
- RO_0002303 hasLabelFromApi "has habitat" pubinfo.
- RO_0002303 hasLabelFromApi "has habitat" pubinfo.
- RO_0002303 hasLabelFromApi "has habitat" pubinfo.
- RO_0002303 hasLabelFromApi "has habitat - x 'has habitat' y if and only if: x is an organism, y is a habitat, and y can sustain and allow the growth of a population of xs." pubinfo.