40:null 41:["$","title",null,{"children":"Logistic Regression pt2 | Nolan Aurio's Workspace | Observable"}] 47:[] 45:{"id":"42f9366e1dfa4695","slug":null,"title":"Logistic Regression pt2","thumbnail":"b642bb1921d7b0bc5f7d850a7debfa95be704ddd825e29e29de878c990a30036","access_level":"public","create_time":"$D2023-10-03T12:57:49.841Z","update_time":"$D2023-10-05T12:24:57.577Z","view_time":null,"first_public_time":"$D2023-10-03T12:57:49.841Z","has_unpublished_edits":null,"fork":{"id":"951097d94b105895","slug":null,"title":"Logistic Regression","owner":{"id":"489053022a944387","login":"nolan-aurio-ws","name":"Nolan Aurio's Workspace"}},"stars":0,"starred":false,"owner":{"type":"team","id":"489053022a944387","login":"nolan-aurio-ws","name":"Nolan Aurio's Workspace","avatar_url":"https://avatars-next.observableusercontent.com/a927a895eaad9835764ec17f8b5548c65d72559c2f0a2b22ab5e59239c359f34","tier":"starter_2024","bio":"","following":false},"version":218,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"7d242f51aac374fa","login":"nolan-aurio","name":"Nolan Aurio","avatar_url":"https://avatars-next.observableusercontent.com/b314d5637a31e07b9ad5082fe438e2af0a78b2b049f4149c78ae317a4758fba6","tier":null,"bio":"","following":false}],"members":[{"type":"individual","id":"7d242f51aac374fa","login":"nolan-aurio","name":"Nolan Aurio","avatar_url":"https://avatars-next.observableusercontent.com/b314d5637a31e07b9ad5082fe438e2af0a78b2b049f4149c78ae317a4758fba6","tier":null,"role":"editor"},{"type":"team","id":"489053022a944387","login":"nolan-aurio-ws","name":"Nolan Aurio's Workspace","avatar_url":"https://avatars-next.observableusercontent.com/a927a895eaad9835764ec17f8b5548c65d72559c2f0a2b22ab5e59239c359f34","tier":"starter_2024","role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"titling":"auto","title":"Logistic Regression pt2","cells":[{"id":0,"value":"# Logistic Regression pt2","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":144,"value":"viewof threshold = Inputs.range([0,100],{step:.1})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":189,"value":"html`\n\n \n \n \n\n \n \n \n\n\n \n \n \n\n

	Predicted Negative	Predicted Positive
Actual Positive	${False_neg}	${True_pos}
Actual Negative	${True_neg}	${False_pos}

\n\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":5,"value":"Plot.plot({\n x:{domain:[0,100]},\n y:{domain:[0,1]},\n marks:[\n Plot.ruleX([0]),\n Plot.ruleY([0]),\n Plot.dot(Xblue,{x:Xblue,y:0,fill:\"Blue\"}),\n Plot.dot(Xred,{x:Xred, y:Yred,fill:\"red\"}),\n Plot.line([[threshold,0],[threshold,1]],{strokeDasharray:\"5,5\"})\n ]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":152,"value":"### Positives and negatives ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":155,"value":"True_neg = Xblue.filter(x => x <= threshold).length","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":162,"value":"False_neg = Xred.filter(x => x < threshold).length","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":170,"value":"True_pos = Xred.filter(x => x > threshold).length","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":175,"value":"False_pos = Xblue.filter(x => x >= threshold).length","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":137,"value":"### Data","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":124,"value":"Xblue = [11.919806899663882, 67.38569928780174, 47.67124597336016, 8.98418291036808, 11.98311053566577, 28.43679772934751, 36.31998921806501, 10.756617414093848, 48.14293896659028, 58.19320370760604, 42.194545231306996, 74.33126429129561, 32.09728425568774, 38.96195610002197, 60.45240973953678, 17.363752905759277, 27.176396633373674, 0.3388075817705144, 9.71614103969326, 12.194205150555634]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":127,"value":"Xred = [77.76665070149525, 99.58901671951939, 48.322537140757866, 72.7873040305293, 95.02992925378214, 78.03534014148227, 82.52778235139439, 96.18334945563683, 70.44876284552433, 64.87065001332888, 88.78977005190733, 27.22201530487173, 42.1193760910118, 75.81780681132818, 72.27317661902134, 59.67716751288206, 64.26634128696611, 50.00355760728954, 91.68400213498957, 39.51019095462547]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":128,"value":"Yblue = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":131,"value":"Yred = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W47","stdlib":"1"}} 46:"$45:body"