Matches in Nanopublications for { ?s <https://w3id.org/np/o/ntemplate/hasLabelFromApi> ?o ?g. }
- Q107750691 hasLabelFromApi "graph neural network - technique for statistics" 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.
- simile hasLabelFromApi "simile detection - by Richa Sharma" pubinfo.
- M4M.28.T1 hasLabelFromApi "M4M.28.T1 | PARC M4M Schema Training 1 - by Barbara Magagna" pubinfo.
- M4M.28.T1 hasLabelFromApi "M4M.28.T1 | PARC M4M Schema Training 1 - by Barbara Magagna" pubinfo.
- M4M.28.T1 hasLabelFromApi "M4M.28.T1 | PARC M4M Schema Training 1 - by Barbara Magagna" pubinfo.
- M4M.28.T1 hasLabelFromApi "M4M.28.T1 | PARC M4M Schema Training 1 - by Barbara Magagna" pubinfo.
- M4M.28.T1 hasLabelFromApi "M4M.28.T1 | PARC M4M Schema Training 1 - by Barbara Magagna" pubinfo.
- M4M.28.T1 hasLabelFromApi "M4M.28.T1 | PARC M4M Schema Training 1 - by Barbara Magagna" pubinfo.
- M4M.28.T1 hasLabelFromApi "M4M.28.T1 | PARC M4M Schema Training 1 - by Barbara Magagna" pubinfo.
- M4M.28.T1 hasLabelFromApi "M4M.28.T1 | PARC M4M Schema Training 1 - by Barbara Magagna" pubinfo.
- M4M.28.T1 hasLabelFromApi "M4M.28.T1 | PARC M4M Schema Training 1 - by Barbara Magagna" pubinfo.
- M4M.28.T1 hasLabelFromApi "M4M.28.T1 | PARC M4M Schema Training 1 - by Barbara Magagna" pubinfo.
- M4M.28.T1 hasLabelFromApi "M4M.28.T1 | PARC M4M Schema Training 1 - by Barbara Magagna" pubinfo.
- M4M.24.T2 hasLabelFromApi "M4M.24.T2 | PARC M4M Training 2 - by Barbara Magagna" pubinfo.
- M4M.24.T2 hasLabelFromApi "M4M.24.T2 | PARC M4M Training 2 - by Barbara Magagna" pubinfo.
- M4M.24.T2 hasLabelFromApi "M4M.24.T2 | PARC M4M Training 2 - by Barbara Magagna" pubinfo.
- M4M.24.T2 hasLabelFromApi "M4M.24.T2 | PARC M4M Training 2 - by Barbara Magagna" pubinfo.
- M4M.24.T2 hasLabelFromApi "M4M.24.T2 | PARC M4M Training 2 - by Barbara Magagna" pubinfo.
- M4M.24.T2 hasLabelFromApi "M4M.24.T2 | PARC M4M Training 2 - by Barbara Magagna" pubinfo.
- M4M.24.T2 hasLabelFromApi "M4M.24.T2 | PARC M4M Training 2 - by Barbara Magagna" pubinfo.
- M4M.24.T2 hasLabelFromApi "M4M.24.T2 | PARC M4M Training 2 - by Barbara Magagna" pubinfo.
- M4M.24.T2 hasLabelFromApi "M4M.24.T2 | PARC M4M Training 2 - by Barbara Magagna" pubinfo.
- M4M.24.T2 hasLabelFromApi "M4M.24.T2 | PARC M4M Training 2 - by Barbara Magagna" pubinfo.
- Q7187 hasLabelFromApi "gene - basic physical and functional unit of heredity" pubinfo.
- Q7187 hasLabelFromApi "gene - basic physical and functional unit of heredity" pubinfo.
- Q7187 hasLabelFromApi "gene - basic physical and functional unit of heredity" pubinfo.
- Q16521 hasLabelFromApi "taxon - group of one or more organism(s), which a taxonomist adjudges to be a unit" pubinfo.
- Q16521 hasLabelFromApi "taxon - group of one or more organism(s), which a taxonomist adjudges to be a unit" pubinfo.
- Q16521 hasLabelFromApi "taxon - group of one or more organism(s), which a taxonomist adjudges to be a unit" pubinfo.
- OGG_3000010152 hasLabelFromApi "ABI2" pubinfo.
- 9606 hasLabelFromApi "Homo sapiens (species)" pubinfo.
- UBERON_0018241 hasLabelFromApi "prime adult stage" pubinfo.
- UBERON_0018241 hasLabelFromApi "prime adult stage" pubinfo.
- UBERON_0018241 hasLabelFromApi "prime adult stage" pubinfo.
- UBERON_0018241 hasLabelFromApi "prime adult stage" pubinfo.
- Q6256 hasLabelFromApi "country - distinct territorial body or political entity" pubinfo.
- Q6256 hasLabelFromApi "country - distinct territorial body or political entity" pubinfo.
- Q7550838 hasLabelFromApi "Social Security System - public pension fund" pubinfo.
- Q10294 hasLabelFromApi "poverty - lack of a certain amount of material possessions or money" pubinfo.
- Q10294 hasLabelFromApi "poverty - lack of a certain amount of material possessions or money" pubinfo.
- Q118867720 hasLabelFromApi "number of enemies - concept in invasion biology" pubinfo.
- Q118867720 hasLabelFromApi "number of enemies - concept in invasion biology" pubinfo.
- Q118867720 hasLabelFromApi "number of enemies - concept in invasion biology" pubinfo.
- Q118867696 hasLabelFromApi "invasive population - group of organisms spreading outside the native range of their species" pubinfo.
- Q118867696 hasLabelFromApi "invasive population - group of organisms spreading outside the native range of their species" pubinfo.
- Q118867696 hasLabelFromApi "invasive population - group of organisms spreading outside the native range of their species" pubinfo.
- Q118867696 hasLabelFromApi "invasive population - group of organisms spreading outside the native range of their species" pubinfo.
- Q118867696 hasLabelFromApi "invasive population - group of organisms spreading outside the native range of their species" pubinfo.
- Q118867696 hasLabelFromApi "invasive population - group of organisms spreading outside the native range of their species" pubinfo.
- Q118867696 hasLabelFromApi "invasive population - group of organisms spreading outside the native range of their species" pubinfo.
- Q118867686 hasLabelFromApi "transport to exotic range - concept in invasion biology" pubinfo.
- Q118867913 hasLabelFromApi "number of enemies of invasive species - concept in invasion biology" pubinfo.
- Q118867913 hasLabelFromApi "number of enemies of invasive species - concept in invasion biology" pubinfo.
- Q118867913 hasLabelFromApi "number of enemies of invasive species - concept in invasion biology" pubinfo.
- Q118867881 hasLabelFromApi "competition between invasive and native species - concept in invasion biology" pubinfo.
- Q118867942 hasLabelFromApi "number of enemies of native species - concept in invasion biology" pubinfo.
- Q118867942 hasLabelFromApi "number of enemies of native species - concept in invasion biology" pubinfo.
- Q118867942 hasLabelFromApi "number of enemies of native species - concept in invasion biology" pubinfo.
- Q109467185 hasLabelFromApi "invasion success - concept in invasion biology" pubinfo.
- Q109467185 hasLabelFromApi "invasion success - concept in invasion biology" pubinfo.
- Q109467185 hasLabelFromApi "invasion success - concept in invasion biology" pubinfo.
- Q109467185 hasLabelFromApi "invasion success - concept in invasion biology" pubinfo.
- Q109467185 hasLabelFromApi "invasion success - concept in invasion biology" pubinfo.
- Q109467185 hasLabelFromApi "invasion success - concept in invasion biology" pubinfo.
- Q109467185 hasLabelFromApi "invasion success - concept in invasion biology" pubinfo.
- Q109467185 hasLabelFromApi "invasion success - concept in invasion biology" pubinfo.
- Q109467185 hasLabelFromApi "invasion success - concept in invasion biology" pubinfo.
- Q109467185 hasLabelFromApi "invasion success - concept in invasion biology" pubinfo.
- Q109467185 hasLabelFromApi "invasion success - concept in invasion biology" pubinfo.
- Q109467185 hasLabelFromApi "invasion success - concept in invasion biology" pubinfo.
- Q109467185 hasLabelFromApi "invasion success - concept in invasion biology" pubinfo.
- Q109467185 hasLabelFromApi "invasion success - concept in invasion biology" pubinfo.
- Q109467185 hasLabelFromApi "invasion success - concept in invasion biology" pubinfo.
- Q118868191 hasLabelFromApi "reduced pressure by enemies in the non-native range - concept in invasion biology" pubinfo.
- Q118868191 hasLabelFromApi "reduced pressure by enemies in the non-native range - concept in invasion biology" pubinfo.
- Q118868191 hasLabelFromApi "reduced pressure by enemies in the non-native range - concept in invasion biology" pubinfo.
- Q118868191 hasLabelFromApi "reduced pressure by enemies in the non-native range - concept in invasion biology" pubinfo.
- M4M.28.T2 hasLabelFromApi "M4M.28.T2 | PARC M4M Schema Training 2 - by Dirk Devriendt" pubinfo.
- M4M.28.T2 hasLabelFromApi "M4M.28.T2 | PARC M4M Schema Training 2 - by Dirk Devriendt" pubinfo.
- M4M.28.T2 hasLabelFromApi "M4M.28.T2 | PARC M4M Schema Training 2 - by Dirk Devriendt" pubinfo.
- M4M.28.T2 hasLabelFromApi "M4M.28.T2 | PARC M4M Schema Training 2 - by Dirk Devriendt" pubinfo.
- M4M.28.T2 hasLabelFromApi "M4M.28.T2 | PARC M4M Schema Training 2 - by Dirk Devriendt" pubinfo.
- M4M.28.T2 hasLabelFromApi "M4M.28.T2 | PARC M4M Schema Training 2 - by Dirk Devriendt" pubinfo.
- M4M.28.T2 hasLabelFromApi "M4M.28.T2 | PARC M4M Schema Training 2 - by Dirk Devriendt" pubinfo.