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On December 2, 2024 at 10:16:30 PM UTC,
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Added resource Original Metadata to Iris dataset
| f | 1 | { | f | 1 | { |
| 2 | "access_rights": "", | 2 | "access_rights": "", | ||
| 3 | "author": "Jianming Yi", | 3 | "author": "Jianming Yi", | ||
| 4 | "author_email": "", | 4 | "author_email": "", | ||
| 5 | "citation": [ | 5 | "citation": [ | ||
| 6 | "https://doi.org/10.48550/arXiv.2203.12098", | 6 | "https://doi.org/10.48550/arXiv.2203.12098", | ||
| 7 | "https://doi.org/10.48550/arXiv.2309.07770", | 7 | "https://doi.org/10.48550/arXiv.2309.07770", | ||
| 8 | "https://doi.org/10.48550/arXiv.2404.15656", | 8 | "https://doi.org/10.48550/arXiv.2404.15656", | ||
| 9 | "https://doi.org/10.48550/arXiv.2010.12546", | 9 | "https://doi.org/10.48550/arXiv.2010.12546", | ||
| 10 | "https://doi.org/10.48550/arXiv.2204.13751", | 10 | "https://doi.org/10.48550/arXiv.2204.13751", | ||
| 11 | "https://doi.org/10.48550/arXiv.2010.11273", | 11 | "https://doi.org/10.48550/arXiv.2010.11273", | ||
| 12 | "https://doi.org/10.48550/arXiv.2403.13014", | 12 | "https://doi.org/10.48550/arXiv.2403.13014", | ||
| 13 | "https://doi.org/10.1007/s00180-021-01187-z", | 13 | "https://doi.org/10.1007/s00180-021-01187-z", | ||
| 14 | "https://doi.org/10.1038/s41598-022-20688-5", | 14 | "https://doi.org/10.1038/s41598-022-20688-5", | ||
| 15 | "https://doi.org/10.48550/arXiv.2208.09643", | 15 | "https://doi.org/10.48550/arXiv.2208.09643", | ||
| 16 | "https://doi.org/10.1155/2021/6671628", | 16 | "https://doi.org/10.1155/2021/6671628", | ||
| 17 | "https://doi.org/10.48550/arXiv.1706.00292", | 17 | "https://doi.org/10.48550/arXiv.1706.00292", | ||
| 18 | "https://doi.org/10.48550/arXiv.2001.06846" | 18 | "https://doi.org/10.48550/arXiv.2001.06846" | ||
| 19 | ], | 19 | ], | ||
| 20 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 20 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
| 21 | "defined_in": "https://doi.org/10.1371/journal.pone.0258658", | 21 | "defined_in": "https://doi.org/10.1371/journal.pone.0258658", | ||
| 22 | "doi": "10.57702/00i3hgmp", | 22 | "doi": "10.57702/00i3hgmp", | ||
| 23 | "doi_date_published": "2024-12-02", | 23 | "doi_date_published": "2024-12-02", | ||
| 24 | "doi_publisher": "TIB", | 24 | "doi_publisher": "TIB", | ||
| 25 | "doi_status": true, | 25 | "doi_status": true, | ||
| 26 | "domain": "https://service.tib.eu/ldmservice", | 26 | "domain": "https://service.tib.eu/ldmservice", | ||
| 27 | "extra_authors": [ | 27 | "extra_authors": [ | ||
| 28 | { | 28 | { | ||
| 29 | "extra_author": "Kalyani Suresh", | 29 | "extra_author": "Kalyani Suresh", | ||
| 30 | "orcid": "" | 30 | "orcid": "" | ||
| 31 | }, | 31 | }, | ||
| 32 | { | 32 | { | ||
| 33 | "extra_author": "Ali Moghiseh", | 33 | "extra_author": "Ali Moghiseh", | ||
| 34 | "orcid": "" | 34 | "orcid": "" | ||
| 35 | }, | 35 | }, | ||
| 36 | { | 36 | { | ||
| 37 | "extra_author": "Norbert Wehn", | 37 | "extra_author": "Norbert Wehn", | ||
| 38 | "orcid": "" | 38 | "orcid": "" | ||
| 39 | } | 39 | } | ||
| 40 | ], | 40 | ], | ||
| 41 | "groups": [ | 41 | "groups": [ | ||
| 42 | { | 42 | { | ||
| 43 | "description": "", | 43 | "description": "", | ||
| 44 | "display_name": "Classification", | 44 | "display_name": "Classification", | ||
| 45 | "id": "57bb78f3-a48d-4716-a9cc-0028df74b1c5", | 45 | "id": "57bb78f3-a48d-4716-a9cc-0028df74b1c5", | ||
| 46 | "image_display_url": "", | 46 | "image_display_url": "", | ||
| 47 | "name": "classification", | 47 | "name": "classification", | ||
| 48 | "title": "Classification" | 48 | "title": "Classification" | ||
| 49 | }, | 49 | }, | ||
| 50 | { | 50 | { | ||
| 51 | "description": "", | 51 | "description": "", | ||
| 52 | "display_name": "Clustering", | 52 | "display_name": "Clustering", | ||
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| 54 | "image_display_url": "", | 54 | "image_display_url": "", | ||
| 55 | "name": "clustering", | 55 | "name": "clustering", | ||
| 56 | "title": "Clustering" | 56 | "title": "Clustering" | ||
| 57 | }, | 57 | }, | ||
| 58 | { | 58 | { | ||
| 59 | "description": "", | 59 | "description": "", | ||
| 60 | "display_name": "Data Science", | 60 | "display_name": "Data Science", | ||
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| 62 | "image_display_url": "", | 62 | "image_display_url": "", | ||
| 63 | "name": "data-science", | 63 | "name": "data-science", | ||
| 64 | "title": "Data Science" | 64 | "title": "Data Science" | ||
| 65 | }, | 65 | }, | ||
| 66 | { | 66 | { | ||
| 67 | "description": "", | 67 | "description": "", | ||
| 68 | "display_name": "Generative Models", | 68 | "display_name": "Generative Models", | ||
| 69 | "id": "f42cf4b7-7fad-4c96-8a26-ea5d45dca6aa", | 69 | "id": "f42cf4b7-7fad-4c96-8a26-ea5d45dca6aa", | ||
| 70 | "image_display_url": "", | 70 | "image_display_url": "", | ||
| 71 | "name": "generative-models", | 71 | "name": "generative-models", | ||
| 72 | "title": "Generative Models" | 72 | "title": "Generative Models" | ||
| 73 | }, | 73 | }, | ||
| 74 | { | 74 | { | ||
| 75 | "description": "", | 75 | "description": "", | ||
| 76 | "display_name": "Iris Classification", | 76 | "display_name": "Iris Classification", | ||
| 77 | "id": "b1e9b9ce-ce5b-4c34-89ce-c4d3e956ae1d", | 77 | "id": "b1e9b9ce-ce5b-4c34-89ce-c4d3e956ae1d", | ||
| 78 | "image_display_url": "", | 78 | "image_display_url": "", | ||
| 79 | "name": "iris-classification", | 79 | "name": "iris-classification", | ||
| 80 | "title": "Iris Classification" | 80 | "title": "Iris Classification" | ||
| 81 | }, | 81 | }, | ||
| 82 | { | 82 | { | ||
| 83 | "description": "", | 83 | "description": "", | ||
| 84 | "display_name": "Machine Learning", | 84 | "display_name": "Machine Learning", | ||
| 85 | "id": "1d8623c9-adbd-4f91-be1e-53847c4ac32a", | 85 | "id": "1d8623c9-adbd-4f91-be1e-53847c4ac32a", | ||
| 86 | "image_display_url": "", | 86 | "image_display_url": "", | ||
| 87 | "name": "machine-learning", | 87 | "name": "machine-learning", | ||
| 88 | "title": "Machine Learning" | 88 | "title": "Machine Learning" | ||
| 89 | }, | 89 | }, | ||
| 90 | { | 90 | { | ||
| 91 | "description": "", | 91 | "description": "", | ||
| 92 | "display_name": "Multiclass", | 92 | "display_name": "Multiclass", | ||
| 93 | "id": "0b6b1c09-0f37-4a4c-9d70-0177baa631a3", | 93 | "id": "0b6b1c09-0f37-4a4c-9d70-0177baa631a3", | ||
| 94 | "image_display_url": "", | 94 | "image_display_url": "", | ||
| 95 | "name": "multiclass", | 95 | "name": "multiclass", | ||
| 96 | "title": "Multiclass" | 96 | "title": "Multiclass" | ||
| 97 | }, | 97 | }, | ||
| 98 | { | 98 | { | ||
| 99 | "description": "", | 99 | "description": "", | ||
| 100 | "display_name": "Multiclass Classification", | 100 | "display_name": "Multiclass Classification", | ||
| 101 | "id": "acc352e2-bd1c-43e6-b6a8-ce6c31a8eee0", | 101 | "id": "acc352e2-bd1c-43e6-b6a8-ce6c31a8eee0", | ||
| 102 | "image_display_url": "", | 102 | "image_display_url": "", | ||
| 103 | "name": "multiclass-classification", | 103 | "name": "multiclass-classification", | ||
| 104 | "title": "Multiclass Classification" | 104 | "title": "Multiclass Classification" | ||
| 105 | }, | 105 | }, | ||
| 106 | { | 106 | { | ||
| 107 | "description": "", | 107 | "description": "", | ||
| 108 | "display_name": "Multivariate Analysis", | 108 | "display_name": "Multivariate Analysis", | ||
| 109 | "id": "c9520cac-48db-4ee3-8920-63e81fb3be72", | 109 | "id": "c9520cac-48db-4ee3-8920-63e81fb3be72", | ||
| 110 | "image_display_url": "", | 110 | "image_display_url": "", | ||
| 111 | "name": "multivariate-analysis", | 111 | "name": "multivariate-analysis", | ||
| 112 | "title": "Multivariate Analysis" | 112 | "title": "Multivariate Analysis" | ||
| 113 | }, | 113 | }, | ||
| 114 | { | 114 | { | ||
| 115 | "description": "", | 115 | "description": "", | ||
| 116 | "display_name": "Physical Networks", | 116 | "display_name": "Physical Networks", | ||
| 117 | "id": "c034e264-0da0-4b05-81f5-34adbfc50db7", | 117 | "id": "c034e264-0da0-4b05-81f5-34adbfc50db7", | ||
| 118 | "image_display_url": "", | 118 | "image_display_url": "", | ||
| 119 | "name": "physical-networks", | 119 | "name": "physical-networks", | ||
| 120 | "title": "Physical Networks" | 120 | "title": "Physical Networks" | ||
| 121 | }, | 121 | }, | ||
| 122 | { | 122 | { | ||
| 123 | "description": "", | 123 | "description": "", | ||
| 124 | "display_name": "Regression", | 124 | "display_name": "Regression", | ||
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| 126 | "image_display_url": "", | 126 | "image_display_url": "", | ||
| 127 | "name": "regression", | 127 | "name": "regression", | ||
| 128 | "title": "Regression" | 128 | "title": "Regression" | ||
| 129 | } | 129 | } | ||
| 130 | ], | 130 | ], | ||
| 131 | "id": "7063d7c8-c2ff-45b0-9ae6-143b363e15de", | 131 | "id": "7063d7c8-c2ff-45b0-9ae6-143b363e15de", | ||
| 132 | "isopen": false, | 132 | "isopen": false, | ||
| 133 | "landing_page": "https://archive.ics.uci.edu/ml/datasets/Iris", | 133 | "landing_page": "https://archive.ics.uci.edu/ml/datasets/Iris", | ||
| 134 | "license_title": null, | 134 | "license_title": null, | ||
| 135 | "link_orkg": "", | 135 | "link_orkg": "", | ||
| 136 | "metadata_created": "2024-12-02T17:44:48.830896", | 136 | "metadata_created": "2024-12-02T17:44:48.830896", | ||
| n | 137 | "metadata_modified": "2024-12-02T22:16:28.111957", | n | 137 | "metadata_modified": "2024-12-02T22:16:29.504671", |
| 138 | "name": "iris-dataset", | 138 | "name": "iris-dataset", | ||
| 139 | "notes": "The Iris dataset is a multivariate dataset introduced by | 139 | "notes": "The Iris dataset is a multivariate dataset introduced by | ||
| 140 | Sir Ronald Fisher in his 1936 paper \"The use of multiple measurements | 140 | Sir Ronald Fisher in his 1936 paper \"The use of multiple measurements | ||
| 141 | in taxonomic problems\". It contains 150 samples from three species of | 141 | in taxonomic problems\". It contains 150 samples from three species of | ||
| 142 | iris flowers (Iris setosa, Iris virginica, and Iris versicolor). Each | 142 | iris flowers (Iris setosa, Iris virginica, and Iris versicolor). Each | ||
| 143 | sample is described by 4 features: the length and the width of the | 143 | sample is described by 4 features: the length and the width of the | ||
| 144 | sepals and petals.", | 144 | sepals and petals.", | ||
| n | 145 | "num_resources": 0, | n | 145 | "num_resources": 1, |
| 146 | "num_tags": 31, | 146 | "num_tags": 31, | ||
| 147 | "organization": { | 147 | "organization": { | ||
| 148 | "approval_status": "approved", | 148 | "approval_status": "approved", | ||
| 149 | "created": "2024-11-25T12:11:38.292601", | 149 | "created": "2024-11-25T12:11:38.292601", | ||
| 150 | "description": "", | 150 | "description": "", | ||
| 151 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 151 | "id": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 152 | "image_url": "", | 152 | "image_url": "", | ||
| 153 | "is_organization": true, | 153 | "is_organization": true, | ||
| 154 | "name": "no-organization", | 154 | "name": "no-organization", | ||
| 155 | "state": "active", | 155 | "state": "active", | ||
| 156 | "title": "No Organization", | 156 | "title": "No Organization", | ||
| 157 | "type": "organization" | 157 | "type": "organization" | ||
| 158 | }, | 158 | }, | ||
| 159 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | 159 | "owner_org": "079d46db-32df-4b48-91f3-0a8bc8f69559", | ||
| 160 | "private": false, | 160 | "private": false, | ||
| 161 | "relationships_as_object": [], | 161 | "relationships_as_object": [], | ||
| 162 | "relationships_as_subject": [], | 162 | "relationships_as_subject": [], | ||
| t | 163 | "resources": [], | t | 163 | "resources": [ |
| 164 | { | ||||
| 165 | "cache_last_updated": null, | ||||
| 166 | "cache_url": null, | ||||
| 167 | "created": "2024-12-02T22:29:38", | ||||
| 168 | "data": [ | ||||
| 169 | "dcterms:title", | ||||
| 170 | "dcterms:accessRights", | ||||
| 171 | "dcterms:creator", | ||||
| 172 | "dcterms:description", | ||||
| 173 | "dcterms:issued", | ||||
| 174 | "dcterms:language", | ||||
| 175 | "dcterms:identifier", | ||||
| 176 | "dcat:theme", | ||||
| 177 | "dcterms:type", | ||||
| 178 | "dcat:keyword", | ||||
| 179 | "dcat:landingPage", | ||||
| 180 | "dcterms:hasVersion", | ||||
| 181 | "dcterms:format", | ||||
| 182 | "mls:task", | ||||
| 183 | "datacite:isDescribedBy" | ||||
| 184 | ], | ||||
| 185 | "description": "The json representation of the dataset with its | ||||
| 186 | distributions based on DCAT.", | ||||
| 187 | "format": "JSON", | ||||
| 188 | "hash": "", | ||||
| 189 | "id": "652bcc5a-5b98-4b10-a197-4ea6a9e6d31e", | ||||
| 190 | "last_modified": "2024-12-02T22:16:29.493229", | ||||
| 191 | "metadata_modified": "2024-12-02T22:16:29.507834", | ||||
| 192 | "mimetype": "application/json", | ||||
| 193 | "mimetype_inner": null, | ||||
| 194 | "name": "Original Metadata", | ||||
| 195 | "package_id": "7063d7c8-c2ff-45b0-9ae6-143b363e15de", | ||||
| 196 | "position": 0, | ||||
| 197 | "resource_type": null, | ||||
| 198 | "size": 2239, | ||||
| 199 | "state": "active", | ||||
| 200 | "url": | ||||
| 201 | resource/652bcc5a-5b98-4b10-a197-4ea6a9e6d31e/download/metadata.json", | ||||
| 202 | "url_type": "upload" | ||||
| 203 | } | ||||
| 204 | ], | ||||
| 164 | "services_used_list": "", | 205 | "services_used_list": "", | ||
| 165 | "state": "active", | 206 | "state": "active", | ||
| 166 | "tags": [ | 207 | "tags": [ | ||
| 167 | { | 208 | { | ||
| 168 | "display_name": "Classification", | 209 | "display_name": "Classification", | ||
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| 172 | "vocabulary_id": null | 213 | "vocabulary_id": null | ||
| 173 | }, | 214 | }, | ||
| 174 | { | 215 | { | ||
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| 177 | "name": "Clustering", | 218 | "name": "Clustering", | ||
| 178 | "state": "active", | 219 | "state": "active", | ||
| 179 | "vocabulary_id": null | 220 | "vocabulary_id": null | ||
| 180 | }, | 221 | }, | ||
| 181 | { | 222 | { | ||
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| 184 | "name": "Feature Importance", | 225 | "name": "Feature Importance", | ||
| 185 | "state": "active", | 226 | "state": "active", | ||
| 186 | "vocabulary_id": null | 227 | "vocabulary_id": null | ||
| 187 | }, | 228 | }, | ||
| 188 | { | 229 | { | ||
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| 191 | "name": "Feature extraction", | 232 | "name": "Feature extraction", | ||
| 192 | "state": "active", | 233 | "state": "active", | ||
| 193 | "vocabulary_id": null | 234 | "vocabulary_id": null | ||
| 194 | }, | 235 | }, | ||
| 195 | { | 236 | { | ||
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| 198 | "name": "Generative models", | 239 | "name": "Generative models", | ||
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| 200 | "vocabulary_id": null | 241 | "vocabulary_id": null | ||
| 201 | }, | 242 | }, | ||
| 202 | { | 243 | { | ||
| 203 | "display_name": "Iris", | 244 | "display_name": "Iris", | ||
| 204 | "id": "f810c93f-f031-453d-b41e-21445e224225", | 245 | "id": "f810c93f-f031-453d-b41e-21445e224225", | ||
| 205 | "name": "Iris", | 246 | "name": "Iris", | ||
| 206 | "state": "active", | 247 | "state": "active", | ||
| 207 | "vocabulary_id": null | 248 | "vocabulary_id": null | ||
| 208 | }, | 249 | }, | ||
| 209 | { | 250 | { | ||
| 210 | "display_name": "Iris Flowers", | 251 | "display_name": "Iris Flowers", | ||
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| 212 | "name": "Iris Flowers", | 253 | "name": "Iris Flowers", | ||
| 213 | "state": "active", | 254 | "state": "active", | ||
| 214 | "vocabulary_id": null | 255 | "vocabulary_id": null | ||
| 215 | }, | 256 | }, | ||
| 216 | { | 257 | { | ||
| 217 | "display_name": "Iris dataset", | 258 | "display_name": "Iris dataset", | ||
| 218 | "id": "0c9b75b3-a3cd-4363-a2cc-05f3b0cfa970", | 259 | "id": "0c9b75b3-a3cd-4363-a2cc-05f3b0cfa970", | ||
| 219 | "name": "Iris dataset", | 260 | "name": "Iris dataset", | ||
| 220 | "state": "active", | 261 | "state": "active", | ||
| 221 | "vocabulary_id": null | 262 | "vocabulary_id": null | ||
| 222 | }, | 263 | }, | ||
| 223 | { | 264 | { | ||
| 224 | "display_name": "Iris flowers", | 265 | "display_name": "Iris flowers", | ||
| 225 | "id": "17da4f64-e141-4bd7-be1c-eeaa7b2a3aae", | 266 | "id": "17da4f64-e141-4bd7-be1c-eeaa7b2a3aae", | ||
| 226 | "name": "Iris flowers", | 267 | "name": "Iris flowers", | ||
| 227 | "state": "active", | 268 | "state": "active", | ||
| 228 | "vocabulary_id": null | 269 | "vocabulary_id": null | ||
| 229 | }, | 270 | }, | ||
| 230 | { | 271 | { | ||
| 231 | "display_name": "Machine Learning", | 272 | "display_name": "Machine Learning", | ||
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| 233 | "name": "Machine Learning", | 274 | "name": "Machine Learning", | ||
| 234 | "state": "active", | 275 | "state": "active", | ||
| 235 | "vocabulary_id": null | 276 | "vocabulary_id": null | ||
| 236 | }, | 277 | }, | ||
| 237 | { | 278 | { | ||
| 238 | "display_name": "Machine learning", | 279 | "display_name": "Machine learning", | ||
| 239 | "id": "7c8050e7-2e86-4a96-aebe-6c582621940d", | 280 | "id": "7c8050e7-2e86-4a96-aebe-6c582621940d", | ||
| 240 | "name": "Machine learning", | 281 | "name": "Machine learning", | ||
| 241 | "state": "active", | 282 | "state": "active", | ||
| 242 | "vocabulary_id": null | 283 | "vocabulary_id": null | ||
| 243 | }, | 284 | }, | ||
| 244 | { | 285 | { | ||
| 245 | "display_name": "Multiclass", | 286 | "display_name": "Multiclass", | ||
| 246 | "id": "e20c135f-0041-4c68-ab52-0651b6c5907e", | 287 | "id": "e20c135f-0041-4c68-ab52-0651b6c5907e", | ||
| 247 | "name": "Multiclass", | 288 | "name": "Multiclass", | ||
| 248 | "state": "active", | 289 | "state": "active", | ||
| 249 | "vocabulary_id": null | 290 | "vocabulary_id": null | ||
| 250 | }, | 291 | }, | ||
| 251 | { | 292 | { | ||
| 252 | "display_name": "Multiclass Classification", | 293 | "display_name": "Multiclass Classification", | ||
| 253 | "id": "8ebd144e-ae46-4a06-99df-2beb87953de3", | 294 | "id": "8ebd144e-ae46-4a06-99df-2beb87953de3", | ||
| 254 | "name": "Multiclass Classification", | 295 | "name": "Multiclass Classification", | ||
| 255 | "state": "active", | 296 | "state": "active", | ||
| 256 | "vocabulary_id": null | 297 | "vocabulary_id": null | ||
| 257 | }, | 298 | }, | ||
| 258 | { | 299 | { | ||
| 259 | "display_name": "Multiclass classification", | 300 | "display_name": "Multiclass classification", | ||
| 260 | "id": "2d6b627f-9a3c-4296-ab46-98dfa5c4d917", | 301 | "id": "2d6b627f-9a3c-4296-ab46-98dfa5c4d917", | ||
| 261 | "name": "Multiclass classification", | 302 | "name": "Multiclass classification", | ||
| 262 | "state": "active", | 303 | "state": "active", | ||
| 263 | "vocabulary_id": null | 304 | "vocabulary_id": null | ||
| 264 | }, | 305 | }, | ||
| 265 | { | 306 | { | ||
| 266 | "display_name": "Multivariate Data", | 307 | "display_name": "Multivariate Data", | ||
| 267 | "id": "09313ecd-0a0e-4e68-b3df-998e5bdcb921", | 308 | "id": "09313ecd-0a0e-4e68-b3df-998e5bdcb921", | ||
| 268 | "name": "Multivariate Data", | 309 | "name": "Multivariate Data", | ||
| 269 | "state": "active", | 310 | "state": "active", | ||
| 270 | "vocabulary_id": null | 311 | "vocabulary_id": null | ||
| 271 | }, | 312 | }, | ||
| 272 | { | 313 | { | ||
| 273 | "display_name": "PCA", | 314 | "display_name": "PCA", | ||
| 274 | "id": "9aad4ccd-8bea-4c02-9c9b-5303a8b42949", | 315 | "id": "9aad4ccd-8bea-4c02-9c9b-5303a8b42949", | ||
| 275 | "name": "PCA", | 316 | "name": "PCA", | ||
| 276 | "state": "active", | 317 | "state": "active", | ||
| 277 | "vocabulary_id": null | 318 | "vocabulary_id": null | ||
| 278 | }, | 319 | }, | ||
| 279 | { | 320 | { | ||
| 280 | "display_name": "Regression", | 321 | "display_name": "Regression", | ||
| 281 | "id": "802df0bd-9d6f-4ea0-b504-0a68ea001079", | 322 | "id": "802df0bd-9d6f-4ea0-b504-0a68ea001079", | ||
| 282 | "name": "Regression", | 323 | "name": "Regression", | ||
| 283 | "state": "active", | 324 | "state": "active", | ||
| 284 | "vocabulary_id": null | 325 | "vocabulary_id": null | ||
| 285 | }, | 326 | }, | ||
| 286 | { | 327 | { | ||
| 287 | "display_name": "classification", | 328 | "display_name": "classification", | ||
| 288 | "id": "30b96a8e-ded8-465e-9a77-e4163624d903", | 329 | "id": "30b96a8e-ded8-465e-9a77-e4163624d903", | ||
| 289 | "name": "classification", | 330 | "name": "classification", | ||
| 290 | "state": "active", | 331 | "state": "active", | ||
| 291 | "vocabulary_id": null | 332 | "vocabulary_id": null | ||
| 292 | }, | 333 | }, | ||
| 293 | { | 334 | { | ||
| 294 | "display_name": "data science", | 335 | "display_name": "data science", | ||
| 295 | "id": "81bb4d74-d92a-4c07-a9bb-ae8985adf5ed", | 336 | "id": "81bb4d74-d92a-4c07-a9bb-ae8985adf5ed", | ||
| 296 | "name": "data science", | 337 | "name": "data science", | ||
| 297 | "state": "active", | 338 | "state": "active", | ||
| 298 | "vocabulary_id": null | 339 | "vocabulary_id": null | ||
| 299 | }, | 340 | }, | ||
| 300 | { | 341 | { | ||
| 301 | "display_name": "flowers", | 342 | "display_name": "flowers", | ||
| 302 | "id": "a5d58fb8-1e81-498e-b637-dacf11c86588", | 343 | "id": "a5d58fb8-1e81-498e-b637-dacf11c86588", | ||
| 303 | "name": "flowers", | 344 | "name": "flowers", | ||
| 304 | "state": "active", | 345 | "state": "active", | ||
| 305 | "vocabulary_id": null | 346 | "vocabulary_id": null | ||
| 306 | }, | 347 | }, | ||
| 307 | { | 348 | { | ||
| 308 | "display_name": "iris", | 349 | "display_name": "iris", | ||
| 309 | "id": "5f13c573-2e8c-4145-8dd8-613c74fe2f24", | 350 | "id": "5f13c573-2e8c-4145-8dd8-613c74fe2f24", | ||
| 310 | "name": "iris", | 351 | "name": "iris", | ||
| 311 | "state": "active", | 352 | "state": "active", | ||
| 312 | "vocabulary_id": null | 353 | "vocabulary_id": null | ||
| 313 | }, | 354 | }, | ||
| 314 | { | 355 | { | ||
| 315 | "display_name": "iris dataset", | 356 | "display_name": "iris dataset", | ||
| 316 | "id": "8087c1d0-c524-4568-b98b-a09bbba297de", | 357 | "id": "8087c1d0-c524-4568-b98b-a09bbba297de", | ||
| 317 | "name": "iris dataset", | 358 | "name": "iris dataset", | ||
| 318 | "state": "active", | 359 | "state": "active", | ||
| 319 | "vocabulary_id": null | 360 | "vocabulary_id": null | ||
| 320 | }, | 361 | }, | ||
| 321 | { | 362 | { | ||
| 322 | "display_name": "iris flowers", | 363 | "display_name": "iris flowers", | ||
| 323 | "id": "b154a1c1-fc6d-4807-b97a-096f3850abe6", | 364 | "id": "b154a1c1-fc6d-4807-b97a-096f3850abe6", | ||
| 324 | "name": "iris flowers", | 365 | "name": "iris flowers", | ||
| 325 | "state": "active", | 366 | "state": "active", | ||
| 326 | "vocabulary_id": null | 367 | "vocabulary_id": null | ||
| 327 | }, | 368 | }, | ||
| 328 | { | 369 | { | ||
| 329 | "display_name": "iris plant species", | 370 | "display_name": "iris plant species", | ||
| 330 | "id": "d4c98e32-d81b-4776-bb6f-dac8cdae531c", | 371 | "id": "d4c98e32-d81b-4776-bb6f-dac8cdae531c", | ||
| 331 | "name": "iris plant species", | 372 | "name": "iris plant species", | ||
| 332 | "state": "active", | 373 | "state": "active", | ||
| 333 | "vocabulary_id": null | 374 | "vocabulary_id": null | ||
| 334 | }, | 375 | }, | ||
| 335 | { | 376 | { | ||
| 336 | "display_name": "machine learning", | 377 | "display_name": "machine learning", | ||
| 337 | "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b", | 378 | "id": "9e42784b-6ee7-47e8-a69a-28b8c510212b", | ||
| 338 | "name": "machine learning", | 379 | "name": "machine learning", | ||
| 339 | "state": "active", | 380 | "state": "active", | ||
| 340 | "vocabulary_id": null | 381 | "vocabulary_id": null | ||
| 341 | }, | 382 | }, | ||
| 342 | { | 383 | { | ||
| 343 | "display_name": "multiclass", | 384 | "display_name": "multiclass", | ||
| 344 | "id": "d00ff359-b526-41f4-a9ab-0b053fcf1a4e", | 385 | "id": "d00ff359-b526-41f4-a9ab-0b053fcf1a4e", | ||
| 345 | "name": "multiclass", | 386 | "name": "multiclass", | ||
| 346 | "state": "active", | 387 | "state": "active", | ||
| 347 | "vocabulary_id": null | 388 | "vocabulary_id": null | ||
| 348 | }, | 389 | }, | ||
| 349 | { | 390 | { | ||
| 350 | "display_name": "multiclass classification", | 391 | "display_name": "multiclass classification", | ||
| 351 | "id": "886c8c34-d8bd-47c0-ad4c-ca67d30c58e0", | 392 | "id": "886c8c34-d8bd-47c0-ad4c-ca67d30c58e0", | ||
| 352 | "name": "multiclass classification", | 393 | "name": "multiclass classification", | ||
| 353 | "state": "active", | 394 | "state": "active", | ||
| 354 | "vocabulary_id": null | 395 | "vocabulary_id": null | ||
| 355 | }, | 396 | }, | ||
| 356 | { | 397 | { | ||
| 357 | "display_name": "petal length", | 398 | "display_name": "petal length", | ||
| 358 | "id": "cb77cb58-38a6-4cbe-b651-0a8bd9870b28", | 399 | "id": "cb77cb58-38a6-4cbe-b651-0a8bd9870b28", | ||
| 359 | "name": "petal length", | 400 | "name": "petal length", | ||
| 360 | "state": "active", | 401 | "state": "active", | ||
| 361 | "vocabulary_id": null | 402 | "vocabulary_id": null | ||
| 362 | }, | 403 | }, | ||
| 363 | { | 404 | { | ||
| 364 | "display_name": "petal width", | 405 | "display_name": "petal width", | ||
| 365 | "id": "52694d5e-b789-40bb-a126-74c26190b250", | 406 | "id": "52694d5e-b789-40bb-a126-74c26190b250", | ||
| 366 | "name": "petal width", | 407 | "name": "petal width", | ||
| 367 | "state": "active", | 408 | "state": "active", | ||
| 368 | "vocabulary_id": null | 409 | "vocabulary_id": null | ||
| 369 | }, | 410 | }, | ||
| 370 | { | 411 | { | ||
| 371 | "display_name": "sepal length", | 412 | "display_name": "sepal length", | ||
| 372 | "id": "101409bd-fef7-4569-8208-5d14655aba92", | 413 | "id": "101409bd-fef7-4569-8208-5d14655aba92", | ||
| 373 | "name": "sepal length", | 414 | "name": "sepal length", | ||
| 374 | "state": "active", | 415 | "state": "active", | ||
| 375 | "vocabulary_id": null | 416 | "vocabulary_id": null | ||
| 376 | }, | 417 | }, | ||
| 377 | { | 418 | { | ||
| 378 | "display_name": "sepal width", | 419 | "display_name": "sepal width", | ||
| 379 | "id": "28e69ca3-1112-427a-8b52-3790c4893b37", | 420 | "id": "28e69ca3-1112-427a-8b52-3790c4893b37", | ||
| 380 | "name": "sepal width", | 421 | "name": "sepal width", | ||
| 381 | "state": "active", | 422 | "state": "active", | ||
| 382 | "vocabulary_id": null | 423 | "vocabulary_id": null | ||
| 383 | } | 424 | } | ||
| 384 | ], | 425 | ], | ||
| 385 | "title": "Iris dataset", | 426 | "title": "Iris dataset", | ||
| 386 | "type": "dataset", | 427 | "type": "dataset", | ||
| 387 | "version": "" | 428 | "version": "" | ||
| 388 | } | 429 | } |