{"action":"created","issue":{"url":"https://api.github.com/repos/franyack/IMachineApp/issues/24","repository_url":"https://api.github.com/repos/franyack/IMachineApp","labels_url":"https://api.github.com/repos/franyack/IMachineApp/issues/24/labels{/name}","comments_url":"https://api.github.com/repos/franyack/IMachineApp/issues/24/comments","events_url":"https://api.github.com/repos/franyack/IMachineApp/issues/24/events","html_url":"https://github.com/franyack/IMachineApp/issues/24","id":341725055,"node_id":"MDU6SXNzdWUzNDE3MjUwNTU=","number":24,"title":"Revisión de resultados obtenidos en protocolo de experimentación","user":{"login":"leferrad","id":10536218,"node_id":"MDQ6VXNlcjEwNTM2MjE4","avatar_url":"https://avatars0.githubusercontent.com/u/10536218?v=4","gravatar_id":"","url":"https://api.github.com/users/leferrad","html_url":"https://github.com/leferrad","followers_url":"https://api.github.com/users/leferrad/followers","following_url":"https://api.github.com/users/leferrad/following{/other_user}","gists_url":"https://api.github.com/users/leferrad/gists{/gist_id}","starred_url":"https://api.github.com/users/leferrad/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/leferrad/subscriptions","organizations_url":"https://api.github.com/users/leferrad/orgs","repos_url":"https://api.github.com/users/leferrad/repos","events_url":"https://api.github.com/users/leferrad/events{/privacy}","received_events_url":"https://api.github.com/users/leferrad/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2018-07-17T00:36:20Z","updated_at":"2018-07-26T18:30:04Z","closed_at":null,"author_association":"COLLABORATOR","body":"En este issue vamos a ir plasmando los temas a mejorar o arreglar que surjan a partir de los resultados obtenidos en el protocolo de experimentación definido en la ERS. \r\n\r\nDatos a usar: \r\n- ImagenesEntrada: carpeta con 82 imágenes de WhatsApp recopiladas por @franyack \r\n- 2000 Imagenes scrapeadas de 9GAG (https://9gag.com/)\r\n- Imágenes elegidas del conjunto VOC (http://host.robots.ox.ac.uk/pascal/VOC/) "},"comment":{"url":"https://api.github.com/repos/franyack/IMachineApp/issues/comments/408192124","html_url":"https://github.com/franyack/IMachineApp/issues/24#issuecomment-408192124","issue_url":"https://api.github.com/repos/franyack/IMachineApp/issues/24","id":408192124,"node_id":"MDEyOklzc3VlQ29tbWVudDQwODE5MjEyNA==","user":{"login":"franyack","id":26559238,"node_id":"MDQ6VXNlcjI2NTU5MjM4","avatar_url":"https://avatars2.githubusercontent.com/u/26559238?v=4","gravatar_id":"","url":"https://api.github.com/users/franyack","html_url":"https://github.com/franyack","followers_url":"https://api.github.com/users/franyack/followers","following_url":"https://api.github.com/users/franyack/following{/other_user}","gists_url":"https://api.github.com/users/franyack/gists{/gist_id}","starred_url":"https://api.github.com/users/franyack/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/franyack/subscriptions","organizations_url":"https://api.github.com/users/franyack/orgs","repos_url":"https://api.github.com/users/franyack/repos","events_url":"https://api.github.com/users/franyack/events{/privacy}","received_events_url":"https://api.github.com/users/franyack/received_events","type":"User","site_admin":false},"created_at":"2018-07-26T18:30:04Z","updated_at":"2018-07-26T18:30:04Z","author_association":"OWNER","body":"A raíz de un comentario de @leferrad  en #27 donde propone una forma de hacer merging sobre aquellas imágenes que no son asignadas a ningún cluster, se obtuvieron las siguientes medidas: \r\n\r\nI/MainActivityView: MCL maxIt: 100\r\nI/MainActivityView: MCL expPow: 2\r\nI/MainActivityView: MCL infPow: 3\r\nI/MainActivityView: -\r\nI/MainActivityView: Length of CARS (CAR) folder: 15\r\nI/MainActivityView: Length of CAT (CAT) folder: 15\r\nI/MainActivityView: Length of DOG (DOG) folder: 15\r\nI/MainActivityView: Length of FOOD (FOO) folder: 15\r\nI/MainActivityView: Length of NINEGAG (NIN) folder: 100\r\nI/MainActivityView: -\r\nI/MainActivityView: -\r\nI/MainActivityView: Sorensen-Dice Average: 0.8708914\r\nI/MainActivityView: -\r\nI/MainActivityView: Accuracy: 0.89375\r\nI/MainActivityView: -\r\nI/MainActivityView: Precision for CAR: 0.78571427\r\nI/MainActivityView: Recall for CAR: 0.73333335\r\nI/MainActivityView: F1-Score for CAR: 0.7586207\r\nI/MainActivityView: -\r\nI/MainActivityView: Precision for CAT: 0.875\r\nI/MainActivityView: Recall for CAT: 0.93333334\r\nI/MainActivityView: F1-Score for CAT: 0.9032258\r\nI/MainActivityView: -\r\nI/MainActivityView: Precision for DOG: 0.7894737\r\nI/MainActivityView: Recall for DOG: 1.0\r\nI/MainActivityView: F1-Score for DOG: 0.88235295\r\nI/MainActivityView: -\r\nI/MainActivityView: Precision for FOO: 0.9285714\r\nI/MainActivityView: Recall for FOO: 0.8666667\r\nI/MainActivityView: F1-Score for FOO: 0.8965517\r\nI/MainActivityView: -\r\nI/MainActivityView: Precision for NIN: 0.92783505\r\nI/MainActivityView: Recall for NIN: 0.9\r\nI/MainActivityView: F1-Score for NIN: 0.9137055\r\nI/MainActivityView: -\r\nI/MainActivityView: Precision Macro-Averaging: 0.8613189\r\nI/MainActivityView: Recall Macro-Averaging: 0.88666666\r\nI/MainActivityView: F1-Score Macro-Averaging: 0.8708913\r\n\r\nSon bastante parecidas a las obtenidas en la prueba anterior, donde todas las imágenes sin cluster eran agrupadas en una sola carpeta. Con el paso de las pruebas y al ir cambiando el set de imágenes se podrá tener una idea si será o no la opción adecuada como \"post-proceso\" al resultado de clustering."}}
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