https://next.intelliboard.net/assets/Validation-D9b-Myvn.js

1import{P as D}from"./Profile-uXlJbEEy.js";import{P as I}from"./Menu-VAgkWUad.js";import{_}from"./main-B_SAsu2e.js";import{o as i,f as d,g as l,t,l as u,R as c,S as h,a as s,b as M,A as P,F as v,p as r}from"./vendor-codemirror-CsRMRzWL.js";import{h as N}from"./httpErrorHandler-YOlql0B8.js";import{a as T}from"./page-CkVNsYCb.js";import"./Breadcrumbs-DSWpjV0B.js";import"./textOverflowTooltip-D4BIxkCx.js";import"./TitleInfoButton-CkSqHXJv.js";import"./ToggleTip-BiZRjfkp.js";import"./vendor-highcharts-DJOjmI7G.js";const f={props:{model:{type:Object,required:!0},hasRocCurveImage:{type:Boolean,default:!1},plaData:{type:Object,required:!0}}},a=n=>(c("data-v-6ff6ba46"),n=n(),h(),n),R={class:"panel"},S={class:"table-wrapper"},V={class:"table-container pt-0"},L={class:"table predictive-model-validation-table"},y={colspan:"8",style:{"text-align":"center"}},w=a(()=>l("th",null,null,-1)),b=a(()=>l("th",null,null,-1)),k={colspan:"2"},B={colspan:"2"},z=a(()=>l("th",{colspan:"2"},null,-1)),j={rowspan:"10",style:{"max-width":"25px","white-space":"nowrap"}},q={class:"vertical-view",style:{"margin-top":"100px"}},F={rowspan:"5",style:{"max-width":"25px","white-space":"nowrap"}},H={class:"vertical-view",style:{"margin-top":"45px"}},A=a(()=>l("td",null,null,-1)),G=a(()=>l("td",null,null,-1)),J=a(()=>l("td",null,null,-1)),K=a(()=>l("td",null,null,-1)),Q={rowspan:"4",style:{"max-width":"25px","white-space":"nowrap"}},U={class:"vertical-view",style:{"margin-top":"45px"}},W=a(()=>l("td",null,null,-1)),X=a(()=>l("td",null,null,-1)),Y={key:0,class:"text-center"},Z=["src"];function $(n,p,e,E,o,m){return i(),d("div",R,[l("section",null,[l("div",S,[l("div",V,[l("table",L,[l("thead",null,[l("tr",null,[l("th",y,[l("strong",null,t(n.lang("true_condition",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1)])]),l("tr",null,[w,b,l("th",k,t(n.lang("positive",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1),l("th",B,t(n.lang("negative",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1),z])]),l("tbody",null,[l("tr",null,[l("td",j,[l("strong",q,t(n.lang("predicted_condition",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1)]),l("td",F,[l("strong",H,t(n.lang("positive",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1)])]),l("tr",null,[l("td",null,t(n.lang("true_positive_n",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1),l("td",null,t(e.plaData.true_positive_n||""),1),l("td",null,t(n.lang("false_negative_n",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1),l("td",null,t(e.plaData.false_negative_n||""),1),l("td",null,t(n.lang("predicted_positive_n",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1),l("td",null,t(e.plaData.predicted_positive_n||""),1)]),l("tr",null,[l("td",null,t(n.lang("power",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1),l("td",null,t(e.plaData.power||""),1),l("td",null,t(n.lang("type_I_error",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1),l("td",null,t(e.plaData.type_I_error||""),1),l("td",null,t(n.lang("prevalence",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1),l("td",null,t(e.plaData.prevalence||""),1)]),l("tr",null,[l("td",null,t(n.lang("sensitivity",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1),l("td",null,t(e.plaData.sensitivity||""),1),l("td",null,t(n.lang("fall_out",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1),l("td",null,t(e.plaData.fall_out||""),1),l("td",null,t(n.lang("precision",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1),l("td",null,t(e.plaData.precision||""),1)]),l("tr",null,[A,G,J,K,l("td",null,t(n.lang("lr_plus",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1),l("td",null,t(e.plaData.lr_plus||""),1)]),l("tr",null,[l("td",Q,[l("strong",U,t(n.lang("negative",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1)]),l("td",null,t(n.lang("false_positive_n",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1),l("td",null,t(e.plaData.false_positive_n||""),1),l("td",null,t(n.lang("true_negative_n",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1),l("td",null,t(e.plaData.true_negative_n||""),1),l("td",null,t(n.lang("predicted_negative_n",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1),l("td",null,t(e.plaData.predicted_negative_n||""),1)]),l("tr",null,[l("td",null,t(n.lang("type_II_error",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1),l("td",null,t(e.plaData.type_II_error||""),1),l("td",null,t(n.lang("specificity",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1),l("td",null,t(e.plaData.specificity||""),1),l("td",null,t(n.lang("false_omission",

1n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1),l("td",null,t(e.plaData.false_omission||""),1)]),l("tr",null,[l("td",null,t(n.lang("miss_rate",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1),l("td",null,t(e.plaData.miss_rate||""),1),W,X,l("td",null,t(n.lang("lr_minus",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1),l("td",null,t(e.plaData.lr_minus||""),1)]),l("tr",null,[l("td",null,t(n.lang("total_positive_n",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1),l("td",null,t(e.plaData.total_positive_n||""),1),l("td",null,t(n.lang("total_negative_n",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1),l("td",null,t(e.plaData.total_negative_n||""),1),l("td",null,t(n.lang("total_n",n.langComponents.COMPONENT_PREDICTIVE_MODELS)),1),l("td",null,t(e.plaData.total_n||""),1)])])])])]),e.hasRocCurveImage?(i(),d("div",Y,[l("img",{src:n.route("predictive-models.show.roc-curve",{predictiveModel:e.model.id}),alt:""},null,8,Z)])):u("",!0)])])}const x=_(f,[["render",$],["__scopeId","data-v-6ff6ba46"]]),ll={mixins:[N],components:{ProfileLayout:D,PlaMenu:I,ModelValidation:x},data(){return{model:{name:""},hasRocCurveImage:!1,plaData:{},isInitialized:!1}},mounted(){this.$loader.show(),axios.get(route("predictive-models.show.validation",{predictiveModel:parseInt(this.$route.params.predictiveModel)})).then(n=>{this.model=n.data.predictiveModel,this.hasRocCurveImage=n.data.hasRocCurveImage,this.plaData=n.data.data,this.model.name.length&&T(this.model.name),this.isInitialized=!0}).catch(n=>{this.handleHttpError(n)}).finally(()=>this.$loader.hide())}};function nl(n,p,e,E,o,m){const C=s("pla-menu"),g=s("model-validation"),O=s("profile-layout");return i(),M(O,{breadcrumbs:[{to:{name:"pla.index"},title:n.lang("predictive_analytics",n.langComponents.COMPONENT_PREDICTIVE_MODELS)},{title:o.model.name}],"page-title":o.model.name},{default:P(()=>[o.isInitialized?(i(),d(v,{key:0},[r(C,{model:o.model,"active-item":"validation"},null,8,["model"]),r(g,{model:o.model,"has-roc-curve-image":o.hasRocCurveImage,"pla-data":o.plaData},null,8,["model","has-roc-curve-image","pla-data"])],64)):u("",!0)]),_:1},8,["breadcrumbs","page-title"])}const El=_(ll,[["render",nl]]);export{El as default};