-
Notifications
You must be signed in to change notification settings - Fork 0
/
problem-description.html
193 lines (153 loc) · 8.92 KB
/
problem-description.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
<!DOCTYPE html>
<html >
<head>
<meta charset="UTF-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<title>Analysis of the automobile-loss-prediction dataset</title>
<meta name="description" content="This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook.">
<meta name="generator" content="bookdown 0.5.10 and GitBook 2.6.7">
<meta property="og:title" content="Analysis of the automobile-loss-prediction dataset" />
<meta property="og:type" content="book" />
<meta property="og:description" content="This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook." />
<meta name="github-repo" content="jaredmusil/acc471-final-report" />
<meta name="twitter:card" content="summary" />
<meta name="twitter:title" content="Analysis of the automobile-loss-prediction dataset" />
<meta name="twitter:description" content="This is a minimal example of using the bookdown package to write a book. The output format for this example is bookdown::gitbook." />
<meta name="author" content="Jared Musil & Jake McNair">
<meta name="date" content="2017-12-13">
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta name="apple-mobile-web-app-capable" content="yes">
<meta name="apple-mobile-web-app-status-bar-style" content="black">
<link rel="prev" href="index.html">
<link rel="next" href="data.html">
<script src="libs/jquery-2.2.3/jquery.min.js"></script>
<link href="libs/gitbook-2.6.7/css/style.css" rel="stylesheet" />
<link href="libs/gitbook-2.6.7/css/plugin-bookdown.css" rel="stylesheet" />
<link href="libs/gitbook-2.6.7/css/plugin-highlight.css" rel="stylesheet" />
<link href="libs/gitbook-2.6.7/css/plugin-search.css" rel="stylesheet" />
<link href="libs/gitbook-2.6.7/css/plugin-fontsettings.css" rel="stylesheet" />
<style type="text/css">
div.sourceCode { overflow-x: auto; }
table.sourceCode, tr.sourceCode, td.lineNumbers, td.sourceCode {
margin: 0; padding: 0; vertical-align: baseline; border: none; }
table.sourceCode { width: 100%; line-height: 100%; }
td.lineNumbers { text-align: right; padding-right: 4px; padding-left: 4px; color: #aaaaaa; border-right: 1px solid #aaaaaa; }
td.sourceCode { padding-left: 5px; }
code > span.kw { color: #007020; font-weight: bold; } /* Keyword */
code > span.dt { color: #902000; } /* DataType */
code > span.dv { color: #40a070; } /* DecVal */
code > span.bn { color: #40a070; } /* BaseN */
code > span.fl { color: #40a070; } /* Float */
code > span.ch { color: #4070a0; } /* Char */
code > span.st { color: #4070a0; } /* String */
code > span.co { color: #60a0b0; font-style: italic; } /* Comment */
code > span.ot { color: #007020; } /* Other */
code > span.al { color: #ff0000; font-weight: bold; } /* Alert */
code > span.fu { color: #06287e; } /* Function */
code > span.er { color: #ff0000; font-weight: bold; } /* Error */
code > span.wa { color: #60a0b0; font-weight: bold; font-style: italic; } /* Warning */
code > span.cn { color: #880000; } /* Constant */
code > span.sc { color: #4070a0; } /* SpecialChar */
code > span.vs { color: #4070a0; } /* VerbatimString */
code > span.ss { color: #bb6688; } /* SpecialString */
code > span.im { } /* Import */
code > span.va { color: #19177c; } /* Variable */
code > span.cf { color: #007020; font-weight: bold; } /* ControlFlow */
code > span.op { color: #666666; } /* Operator */
code > span.bu { } /* BuiltIn */
code > span.ex { } /* Extension */
code > span.pp { color: #bc7a00; } /* Preprocessor */
code > span.at { color: #7d9029; } /* Attribute */
code > span.do { color: #ba2121; font-style: italic; } /* Documentation */
code > span.an { color: #60a0b0; font-weight: bold; font-style: italic; } /* Annotation */
code > span.cv { color: #60a0b0; font-weight: bold; font-style: italic; } /* CommentVar */
code > span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Information */
</style>
<link rel="stylesheet" href="style.css" type="text/css" />
</head>
<body>
<div class="book without-animation with-summary font-size-2 font-family-1" data-basepath=".">
<div class="book-summary">
<nav role="navigation">
<ul class="summary">
<li><a href="./">ACC 471 - Final Report</a></li>
<li class="divider"></li>
<li class="chapter" data-level="1" data-path="index.html"><a href="index.html"><i class="fa fa-check"></i><b>1</b> Introduction</a></li>
<li class="chapter" data-level="2" data-path="problem-description.html"><a href="problem-description.html"><i class="fa fa-check"></i><b>2</b> Problem Description</a></li>
<li class="chapter" data-level="3" data-path="data.html"><a href="data.html"><i class="fa fa-check"></i><b>3</b> Data</a></li>
<li class="chapter" data-level="4" data-path="methods-used.html"><a href="methods-used.html"><i class="fa fa-check"></i><b>4</b> Methods Used</a></li>
<li class="chapter" data-level="5" data-path="results.html"><a href="results.html"><i class="fa fa-check"></i><b>5</b> Results</a><ul>
<li class="chapter" data-level="5.1" data-path="results.html"><a href="results.html#random-forest"><i class="fa fa-check"></i><b>5.1</b> Random Forest</a></li>
<li class="chapter" data-level="5.2" data-path="results.html"><a href="results.html#linear-regression"><i class="fa fa-check"></i><b>5.2</b> Linear Regression</a></li>
<li class="chapter" data-level="5.3" data-path="results.html"><a href="results.html#classification-tree"><i class="fa fa-check"></i><b>5.3</b> Classification Tree</a></li>
</ul></li>
<li class="chapter" data-level="6" data-path="recommendations.html"><a href="recommendations.html"><i class="fa fa-check"></i><b>6</b> Recommendations</a></li>
<li class="chapter" data-level="7" data-path="future-analysis.html"><a href="future-analysis.html"><i class="fa fa-check"></i><b>7</b> Future Analysis</a></li>
<li class="chapter" data-level="8" data-path="conculsion.html"><a href="conculsion.html"><i class="fa fa-check"></i><b>8</b> Conculsion</a></li>
<li class="divider"></li>
<li><a href="https://github.com/jaredmusil/acc471-final-report" target="blank">Created with R and bookdown</a></li>
</ul>
</nav>
</div>
<div class="book-body">
<div class="body-inner">
<div class="book-header" role="navigation">
<h1>
<i class="fa fa-circle-o-notch fa-spin"></i><a href="./">Analysis of the “automobile-loss-prediction” dataset</a>
</h1>
</div>
<div class="page-wrapper" tabindex="-1" role="main">
<div class="page-inner">
<section class="normal" id="section-">
<div id="problem-description" class="section level1">
<h1><span class="header-section-number">Chapter 2</span> Problem Description</h1>
<p>This data set consists of three types of entities: (a) the specification of an auto in terms of various characteristics, (b) its assigned insurance risk rating, (c) its normalized losses in use as compared to other cars. The second rating corresponds to the degree to which the auto is more risky than its price indicates. Cars are initially assigned a risk factor symbol associated with its price. Then, if it is more risky (or less), this symbol is adjusted by moving it up (or down) the scale. Actuarians call this process “symboling”. A value of +3 indicates that the auto is risky, -3 that it is probably pretty safe.</p>
<p><img src="bookdown-demo_files/figure-html/risk-scale-1.png" width="672" /></p>
<p>The third factor is the relative average loss payment per insured vehicle year. This value is normalized for all autos within a particular size classification (two-door small, station wagons, sports/speciality, etc…), and represents the average loss per car per year.</p>
</div>
</section>
</div>
</div>
</div>
<a href="index.html" class="navigation navigation-prev " aria-label="Previous page"><i class="fa fa-angle-left"></i></a>
<a href="data.html" class="navigation navigation-next " aria-label="Next page"><i class="fa fa-angle-right"></i></a>
</div>
</div>
<script src="libs/gitbook-2.6.7/js/app.min.js"></script>
<script src="libs/gitbook-2.6.7/js/lunr.js"></script>
<script src="libs/gitbook-2.6.7/js/plugin-search.js"></script>
<script src="libs/gitbook-2.6.7/js/plugin-sharing.js"></script>
<script src="libs/gitbook-2.6.7/js/plugin-fontsettings.js"></script>
<script src="libs/gitbook-2.6.7/js/plugin-bookdown.js"></script>
<script src="libs/gitbook-2.6.7/js/jquery.highlight.js"></script>
<script>
gitbook.require(["gitbook"], function(gitbook) {
gitbook.start({
"sharing": {
"github": false,
"facebook": true,
"twitter": true,
"google": false,
"weibo": false,
"instapper": false,
"vk": false,
"all": ["facebook", "google", "twitter", "weibo", "instapaper"]
},
"fontsettings": {
"theme": "white",
"family": "sans",
"size": 2
},
"edit": {
"link": null,
"text": null
},
"download": ["bookdown-demo.docx", "bookdown-demo.pdf", "bookdown-demo.epub"],
"toc": {
"collapse": "subsection"
}
});
});
</script>
</body>
</html>