40:null 41:["$","title",null,{"children":"Candy - Logistic Regression | Sakura Gavin | Observable"}] 47:T40d,X = [66.971725, 67.602936, 32.261086, 46.116505, 52.341465, 50.347546, 56.914547, 23.417824, 38.010963, 34.517681, 38.975037, 36.017628, 24.524988, 42.272076, 39.460556, 43.088924, 39.185505, 46.783348, 57.11974 , 34.158958, 51.41243 , 42.178772, 55.375454, 62.284481, 56.490501, 59.236122, 28.127439, 57.21925 , 76.7686 , 41.389557, 39.141056, 52.911392, 71.46505 , 66.574585, 46.411716, 55.064072, 73.099556, 60.800701, 64.35334 , 47.829754, 54.526451, 55.354046, 70.735641, 66.47068 , 22.445341, 39.4468 , 46.296597, 69.483788, 37.722336, 41.265511, 37.348522, 81.866257, 84.18029 , 73.43499 , 72.887901, 35.290756, 65.716286, 29.703691, 42.849144, 34.722 , 63.08514 , 55.103695, 37.887188, 45.995827, 76.673782, 59.529251, 59.863998, 52.825947, 67.037628, 34.578991, 33.43755 , 32.230995, 27.303865, 54.861111, 48.982651, 43.068897, 45.736748, 49.653503, 47.173229, 81.642914, 45.466282, 39.011898, 44.375519, 41.904308, 49.524113]48:[] 45:{"id":"f03b54e49ff1cf8e","slug":null,"title":"Candy - Logistic Regression","thumbnail":"ddc02508fa167b8ff5bdd2d2e8c1cf56fb24f3c4872ba18385fdaea076794728","access_level":"public","create_time":"$D2023-10-17T12:37:43.076Z","update_time":"$D2024-02-01T17:12:30.858Z","view_time":null,"first_public_time":"$D2023-10-17T12:37:43.076Z","has_unpublished_edits":null,"fork":{"id":"7ab5785528050fc6","slug":null,"title":"Plotting Template","owner":{"id":"e6e35eaca7d80d81","login":"sgavin93","name":"Sakura Gavin"}},"stars":0,"starred":false,"owner":{"type":"team","id":"e6e35eaca7d80d81","login":"sgavin93","name":"Sakura Gavin","avatar_url":null,"tier":"starter_2024","bio":"","following":false},"version":129,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"eab589938d94f1ab","login":"sgavin93","name":"Sakura Gavin","avatar_url":null,"tier":null,"bio":"","following":false}],"members":[{"type":"individual","id":"eab589938d94f1ab","login":"sgavin93","name":"Sakura Gavin","avatar_url":null,"tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":{"id":"feaba44d0b952073","slug":"projects","title":"Projects","owner":{"id":"e6e35eaca7d80d81","login":"sgavin93","name":"Sakura Gavin"}},"type":"notebook","body":{"titling":"auto","title":"Candy - Logistic Regression","cells":[{"id":0,"value":"# Candy - Logistic Regression","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":49,"value":"viewof threshold = Inputs.range([0,85], {step:0.1, label:\"Threshold\"})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":108,"value":"htl.html`\n\n\n\n\n\n\n\n\n\n\n

	Predicted Negative	Predicted Positive
Actual Positive	${falsenegative}	${truepositive}
Actual Negative	${truenegative}	${falsepositive}

\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":115,"value":"tex`Loss = ${loss}`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3,"value":"Plot.plot({\n x:{domain:[0,90]},\n y:{domain:[0,1]},\n marks:[\n Plot.ruleX([0]),\n Plot.ruleY([0]),\n Plot.dot(Xred, {x:Xred,y:Yred, fill:\"red\", r:4}),\n Plot.dot(Xblue, {x:Xblue,y:Yblue, fill:\"blue\", r:4}),\n Plot.line([[0,0.5],[90,0.5]], {strokeDasharray:\"5,5\"}),\n Plot.line([[threshold,0],[threshold,1]], {strokeDasharray:\"5,5\"}),\n Plot.line(x, {x:x,y:y, stroke:\"red\"}),\n Plot.dot(Yhat, {x:X,y:Yhat,fill:\"green\"})\n \n \n ]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":75,"value":"truepositive = Xred.filter(x => x >= threshold).length","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":81,"value":"falsenegative = 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":"$undefined"},{"id":84,"value":"truenegative = Xblue.filter(x => x <= threshold).length","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":86,"value":"falsepositive = 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":"$undefined"},{"id":54,"value":"### Family of Functions","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":61,"value":"f = (x,a,b) => Math.exp(a*x + b)/(1 + Math.exp(a*x+b))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":56,"value":"x = {\n const x = []\n for(let i = 0; i <=85; i = i + .1){\n x.push(i)\n }\n return x\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":64,"value":"y = x.map(x => f(x, 0.13498466, -7.13223813))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":72,"value":"### The loss","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":96,"value":"Yhat = X.map(X => f(X,0.13498466, -7.13223813))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":100,"value":"penalties = X.map((X,i) => -Y[i]*Math.log(Yhat[i]) - (1 - Y[i])*Math.log(1 - Yhat[i]))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":104,"value":"loss = d3.mean(penalties)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":13,"value":"### Data","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":15,"value":"$47","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":17,"value":"Y = [1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1,\n 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1, 0, 1, 1,\n 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 0, 0, 0, 0, 1]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":21,"value":"Xblue = X.filter((X,i) => Y[i] == 0)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":27,"value":"Xred = X.filter((X,i) => Y[i] == 1)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":29,"value":"Yred = Y.filter(Y => Y == 1)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":32,"value":"Yblue = Y.filter(Y => Y == 0)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W48","stdlib":"1"}} 46:"$45:body"