GitHub - kaseyb002/MyLogReg: Let people play with your logistic regression model.

Let other people play with your logistic regression model.

Examples

Predict Getting into Harvard Law

Predict Heart Disease

Predict Passing Exam

Predict Death Penalty

Installation

Download/clone the repo.

Open the public/index.html file in a text editor.

Type your model into the config var at the top of the HTML file and fill out a few settings.

Open the HTML file in a browser.

/**************BEGIN EDITING HERE************/
var config = {
    headerTitle: "Harvard Law Admit Calcuator",//title at top of page
    resultsTitle: "Chance of Getting into Harvard Law",//explains results
    likelihoodLabel: "Likelihood of Admission",//shows along y-axis of graph
    intercept: -97.13444,//the intercept coefficient from your model
    variables: [
        {
            name: "LSAT",
            coefficient: 0.3172556,//your beta coefficient from the logistic regression model
            binary: false,//is this a YES/NO 1/0 variable?
            min: 120,//minimum that user can select for this variable (remove if binary)
            max: 180,//maximum that user can select for this variable (remove if binary)
            defaultValue: 170,//value that's already selected when the page loads (use true/false for binary)
            selectIncrement: 1,//how much to increment between min and max for user select (remove if binary)
            decimalPlaces: 0,//how many decimal places should be displayed (remove if binary)
            graphIncrement: 1,//determines the "ticks" on the graph's x-axis (remove if binary)
            graphAxisMin: 150,//bottom range for graph x-axis (remove if binary)
            graphAxisMax: 180//top range for graph x-axis (remove if binary)
        },
        {
            name: "GPA",
            coefficient: 11.05645,
            binary: false,
            min: 2.50,
            max: 4.00,
            defaultValue: 3.75,
            selectIncrement: 0.01,
            decimalPlaces: 2,
            graphIncrement: 0.10,
            graphAxisMin: 2.5,
            graphAxisMax: 4.0
        }
    ]
};
/*************STOP EDITING HERE**************/

Inputting Binary Variables:

{
	name: "Male",
	coefficient: 0.098,
	binary: true,
	defaultValue: false,
},