{"action":"created","issue":{"url":"https://api.github.com/repos/php-ai/php-ml/issues/330","repository_url":"https://api.github.com/repos/php-ai/php-ml","labels_url":"https://api.github.com/repos/php-ai/php-ml/issues/330/labels{/name}","comments_url":"https://api.github.com/repos/php-ai/php-ml/issues/330/comments","events_url":"https://api.github.com/repos/php-ai/php-ml/issues/330/events","html_url":"https://github.com/php-ai/php-ml/issues/330","id":382248636,"node_id":"MDU6SXNzdWUzODIyNDg2MzY=","number":330,"title":"Try to choose the right properties for SVC","user":{"login":"shaikezam","id":16984302,"node_id":"MDQ6VXNlcjE2OTg0MzAy","avatar_url":"https://avatars1.githubusercontent.com/u/16984302?v=4","gravatar_id":"","url":"https://api.github.com/users/shaikezam","html_url":"https://github.com/shaikezam","followers_url":"https://api.github.com/users/shaikezam/followers","following_url":"https://api.github.com/users/shaikezam/following{/other_user}","gists_url":"https://api.github.com/users/shaikezam/gists{/gist_id}","starred_url":"https://api.github.com/users/shaikezam/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/shaikezam/subscriptions","organizations_url":"https://api.github.com/users/shaikezam/orgs","repos_url":"https://api.github.com/users/shaikezam/repos","events_url":"https://api.github.com/users/shaikezam/events{/privacy}","received_events_url":"https://api.github.com/users/shaikezam/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":5,"created_at":"2018-11-19T14:49:41Z","updated_at":"2018-12-18T07:54:12Z","closed_at":null,"author_association":"NONE","body":"Hi folks,\r\n\r\nI develop tool that sample every 2 min with cron job with the next **classes\\observations**:\r\n1. Day (1-7)\r\n2. Hour (00-23)\r\n3. Minute (00-59)\r\n4. **Factor**: Some Value (1-1000) (0 for < 800, else 1)\r\n\r\nI have VARY large dataset available to train the ML algo (more than 1M samples)\r\n\r\nI'm using SVC for classification and prediction (4 features right?).\r\n\r\nI want to predict  the next sample: [2, 16, 2, 1] (Monday, 16:02, more than 800).\r\n\r\n1. From your expereince, which SVM proparties should I need to choose? i.e.: **$kernel, $cost, $degree, $gamma, $coef0, $tolerance, $cacheSize, $shrinking**?\r\n2. Should I choose other Multiclass classification? like kNN?\r\n\r\nThanks!"},"comment":{"url":"https://api.github.com/repos/php-ai/php-ml/issues/comments/448128701","html_url":"https://github.com/php-ai/php-ml/issues/330#issuecomment-448128701","issue_url":"https://api.github.com/repos/php-ai/php-ml/issues/330","id":448128701,"node_id":"MDEyOklzc3VlQ29tbWVudDQ0ODEyODcwMQ==","user":{"login":"shaikezam","id":16984302,"node_id":"MDQ6VXNlcjE2OTg0MzAy","avatar_url":"https://avatars1.githubusercontent.com/u/16984302?v=4","gravatar_id":"","url":"https://api.github.com/users/shaikezam","html_url":"https://github.com/shaikezam","followers_url":"https://api.github.com/users/shaikezam/followers","following_url":"https://api.github.com/users/shaikezam/following{/other_user}","gists_url":"https://api.github.com/users/shaikezam/gists{/gist_id}","starred_url":"https://api.github.com/users/shaikezam/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/shaikezam/subscriptions","organizations_url":"https://api.github.com/users/shaikezam/orgs","repos_url":"https://api.github.com/users/shaikezam/repos","events_url":"https://api.github.com/users/shaikezam/events{/privacy}","received_events_url":"https://api.github.com/users/shaikezam/received_events","type":"User","site_admin":false},"created_at":"2018-12-18T07:54:12Z","updated_at":"2018-12-18T07:54:12Z","author_association":"NONE","body":"Hi,\r\nSome remarks:\r\nThere is 210K samples in the traning set\r\n\r\n1. KNN - the VM has 1 GB memory, that not enough (memory exception) - **40 seconds runing**, but the most accurate algorithm\r\n2. SVM\\SVC - Traning never stoped (I stoped the program after 10 minutes)\r\n3. NaiveBayes - Assume this is the fastest algorithm - **20 seconds** but predictions not right, A all."}}
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