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decision-science
model_monitoring_monthly
Commits
04453ff3
Commit
04453ff3
authored
Jul 28, 2019
by
舒皓月
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....2019 07 28
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;
margin-top
:
10px
;
text-align
:
center
;
padding-top
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0px
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padding-bottom
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8px
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auto
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}
#write
.md-fences.mock-cm
{
white-space
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pre-wrap
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.md-fences.md-fences-with-lineno
{
padding-left
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0px
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#write
.fences-no-line-wrapping
.md-fences.mock-cm
{
white-space
:
pre
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auto
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}
.md-fences.mock-cm.md-fences-with-lineno
{
padding-left
:
8px
;
}
.CodeMirror-line
,
twitterwidget
{
break-inside
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avoid
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.footnotes
{
opacity
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0.8
;
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0.9rem
;
margin-top
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1em
;
margin-bottom
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1em
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.footnotes
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margin-top
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0px
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.md-reset
{
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0px
;
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0px
;
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0px
;
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0px
;
vertical-align
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top
;
background
:
0px
0px
;
text-decoration
:
none
;
text-shadow
:
none
;
float
:
none
;
position
:
static
;
width
:
auto
;
height
:
auto
;
white-space
:
nowrap
;
cursor
:
inherit
;
-webkit-tap-highlight-color
:
transparent
;
line-height
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normal
;
font-weight
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400
;
text-align
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left
;
box-sizing
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content-box
;
direction
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ltr
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li
div
{
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blockquote
{
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li
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li
p
{
margin
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li
{
margin
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0px
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relative
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blockquote
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:last-child
{
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0px
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blockquote
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li
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0px
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.footnotes-area
{
color
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rgb
(
136
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136
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136
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white-space
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normal
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#write
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{
white-space
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pre-wrap
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@media
print
{
body
,
html
{
border
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1px
solid
transparent
;
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99%
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break-after
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avoid
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avoid
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#write
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0px
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0px
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.typora-export
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exact
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html
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.typora-export
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.typora-export
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@page
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margin
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20mm
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}
}
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margin-top
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0.714em
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font-size
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0.7em
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}
a
img
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img
a
{
cursor
:
pointer
;
}
pre
.md-meta-block
{
font-size
:
0.8rem
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min-height
:
0.8rem
;
white-space
:
pre-wrap
;
background
:
rgb
(
204
,
204
,
204
);
display
:
block
;
overflow-x
:
hidden
;
}
p
>
.md-image
:only-child:not
(
.md-img-error
)
img
,
p
>
img
:only-child
{
display
:
block
;
margin
:
auto
;
}
p
>
.md-image
:only-child
{
display
:
inline-block
;
width
:
100%
;
}
#write
.MathJax_Display
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margin
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0px
0px
;
}
.md-math-block
{
width
:
100%
;
}
.md-math-block
:not
(
:empty
)
::after
{
display
:
none
;
}
[
contenteditable
=
"true"
]
:active
,
[
contenteditable
=
"true"
]
:focus
{
outline
:
0px
;
box-shadow
:
none
;
}
.md-task-list-item
{
position
:
relative
;
list-style-type
:
none
;
}
.task-list-item.md-task-list-item
{
padding-left
:
0px
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}
.md-task-list-item
>
input
{
position
:
absolute
;
top
:
0px
;
left
:
0px
;
margin-left
:
-1.2em
;
margin-top
:
calc
(
1em
-
10px
);
border
:
none
;
}
.math
{
font-size
:
1rem
;
}
.md-toc
{
min-height
:
3.58rem
;
position
:
relative
;
font-size
:
0.9rem
;
border-radius
:
10px
;
}
.md-toc-content
{
position
:
relative
;
margin-left
:
0px
;
}
.md-toc-content
::after
,
.md-toc
::after
{
display
:
none
;
}
.md-toc-item
{
display
:
block
;
color
:
rgb
(
65
,
131
,
196
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.md-toc-item
a
{
text-decoration
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none
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.md-toc-inner
:hover
{
text-decoration
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underline
;
}
.md-toc-inner
{
display
:
inline-block
;
cursor
:
pointer
;
}
.md-toc-h1
.md-toc-inner
{
margin-left
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0px
;
font-weight
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700
;
}
.md-toc-h2
.md-toc-inner
{
margin-left
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2em
;
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.md-toc-h3
.md-toc-inner
{
margin-left
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4em
;
}
.md-toc-h4
.md-toc-inner
{
margin-left
:
6em
;
}
.md-toc-h5
.md-toc-inner
{
margin-left
:
8em
;
}
.md-toc-h6
.md-toc-inner
{
margin-left
:
10em
;
}
@media
screen
and
(
max-width
:
48em
)
{
.md-toc-h3
.md-toc-inner
{
margin-left
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3.5em
;
}
.md-toc-h4
.md-toc-inner
{
margin-left
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5em
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.md-toc-h5
.md-toc-inner
{
margin-left
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6.5em
;
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.md-toc-h6
.md-toc-inner
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margin-left
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8em
;
}
}
a
.md-toc-inner
{
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inherit
;
font-style
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inherit
;
font-weight
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inherit
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line-height
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inherit
;
}
.footnote-line
a
:not
(
.reversefootnote
)
{
color
:
inherit
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}
.md-attr
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display
:
none
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.md-fn-count
::after
{
content
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"."
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code
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pre
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samp
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tt
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--monospace
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kbd
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0.1em
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padding
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0.6em
;
font-size
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0.8em
;
color
:
rgb
(
36
,
39
,
41
);
background
:
rgb
(
255
,
255
,
255
);
border
:
1px
solid
rgb
(
173
,
179
,
185
);
border-radius
:
3px
;
box-shadow
:
rgba
(
12
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13
,
14
,
0.2
)
0px
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0px
,
rgb
(
255
,
255
,
255
)
0px
0px
0px
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inset
;
white-space
:
nowrap
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middle
;
}
.md-comment
{
color
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rgb
(
162
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127
,
3
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opacity
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0.8
;
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var
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code
{
text-align
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left
;
vertical-align
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initial
;
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a
.md-print-anchor
{
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pre
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;
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initial
!important
;
border-style
:
none
!important
;
border-color
:
initial
!important
;
display
:
inline-block
!important
;
position
:
absolute
!important
;
width
:
1px
!important
;
right
:
0px
!important
;
outline
:
0px
!important
;
background
:
0px
0px
!important
;
text-decoration
:
initial
!important
;
text-shadow
:
initial
!important
;
}
.md-inline-math
.MathJax_SVG
.noError
{
display
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none
!important
;
}
.html-for-mac
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.MathJax_SVG
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vertical-align
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0.2px
;
}
.md-math-block
.MathJax_SVG_Display
{
text-align
:
center
;
margin
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0px
;
position
:
relative
;
text-indent
:
0px
;
max-width
:
none
;
max-height
:
none
;
min-height
:
0px
;
min-width
:
100%
;
width
:
auto
;
overflow-y
:
hidden
;
display
:
block
!important
;
}
.MathJax_SVG_Display
,
.md-inline-math
.MathJax_SVG_Display
{
width
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auto
;
margin
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inherit
;
display
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inline-block
!important
;
}
.MathJax_SVG
.MJX-monospace
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font-family
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var
(
--monospace
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.MathJax_SVG
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sans-serif
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.MathJax_SVG
{
display
:
inline
;
font-style
:
normal
;
font-weight
:
400
;
line-height
:
normal
;
zoom
:
90%
;
text-indent
:
0px
;
text-align
:
left
;
text-transform
:
none
;
letter-spacing
:
normal
;
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normal
;
word-wrap
:
normal
;
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nowrap
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:
none
;
direction
:
ltr
;
max-width
:
none
;
max-height
:
none
;
min-width
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0px
;
min-height
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0px
;
border
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0px
;
padding
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0px
;
margin
:
0px
;
}
.MathJax_SVG
*
{
transition
:
none
;
}
.MathJax_SVG_Display
svg
{
vertical-align
:
middle
!important
;
margin-bottom
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0px
!important
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.os-windows.monocolor-emoji
.md-emoji
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font-family
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"Segoe UI Symbol"
,
sans-serif
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.md-diagram-panel
>
svg
{
max-width
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100%
;
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[
lang
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"mermaid"
]
svg
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[
lang
=
"flow"
]
svg
{
max-width
:
100%
;
}
[
lang
=
"mermaid"
]
.node
text
{
font-size
:
1rem
;
}
table
tr
th
{
border-bottom
:
0px
;
}
video
{
max-width
:
100%
;
display
:
block
;
margin
:
0px
auto
;
}
iframe
{
max-width
:
100%
;
width
:
100%
;
border
:
none
;
}
.highlight
td
,
.highlight
tr
{
border
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0px
;
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:root
{
--active-file-bg-color
:
rgba
(
32
,
43
,
51
,
0.63
);
--active-file-text-color
:
white
;
--bg-color
:
#f3f2ee
;
--text-color
:
#1f0909
;
--control-text-color
:
#444
;
--rawblock-edit-panel-bd
:
#e5e5e5
;
--select-text-bg-color
:
rgba
(
32
,
43
,
51
,
0.63
);
--select-text-font-color
:
white
;
}
pre
{
--select-text-bg-color
:
#36284e
;
--select-text-font-color
:
#fff
;
}
html
{
font-size
:
16px
;
}
html
,
body
{
background-color
:
rgb
(
243
,
242
,
238
);
font-family
:
"PT Serif"
,
"Times New Roman"
,
Times
,
serif
;
color
:
rgb
(
31
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9
,
9
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line-height
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1.5em
;
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#write
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40em
;
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ol
li
{
list-style-type
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decimal
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outside
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ul
li
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disc
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:
outside
;
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ol
,
ul
{
list-style
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none
;
}
blockquote
,
q
{
quotes
:
none
;
}
blockquote
::before
,
blockquote
::after
,
q
::before
,
q
::after
{
content
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none
;
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table
{
border-collapse
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collapse
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border-spacing
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0px
;
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h1
,
h2
,
h3
,
h4
,
h5
,
h6
{
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bold
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}
h1
{
font-size
:
1.875em
;
line-height
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1.6em
;
margin-top
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2em
;
}
h2
,
h3
{
font-size
:
1.3125em
;
line-height
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1.15
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margin-top
:
2.28571em
;
margin-bottom
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1.15em
;
}
h3
{
font-weight
:
normal
;
}
h4
{
font-size
:
1.125em
;
margin-top
:
2.67em
;
}
h5
,
h6
{
font-size
:
1em
;
}
h1
{
border-bottom
:
1px
solid
;
margin-bottom
:
1.875em
;
padding-bottom
:
0.8125em
;
}
a
{
text-decoration
:
none
;
color
:
rgb
(
6
,
85
,
136
);
}
a
:hover
,
a
:active
{
text-decoration
:
underline
;
}
p
,
blockquote
,
.md-fences
{
margin-bottom
:
1.5em
;
}
h1
,
h2
,
h3
,
h4
,
h5
,
h6
{
margin-bottom
:
1.5em
;
}
blockquote
{
font-style
:
italic
;
border-left
:
5px
solid
;
margin-left
:
2em
;
padding-left
:
1em
;
}
ul
,
ol
{
margin
:
0px
0px
1.5em
1.5em
;
}
.md-meta
,
.md-before
,
.md-after
{
color
:
rgb
(
153
,
153
,
153
);
}
table
{
margin-bottom
:
1.5em
;
font-size
:
1em
;
}
thead
th
,
tfoot
th
{
padding
:
0.25em
0.25em
0.25em
0.4em
;
text-transform
:
uppercase
;
}
th
{
text-align
:
left
;
}
td
{
vertical-align
:
top
;
padding
:
0.25em
0.25em
0.25em
0.4em
;
}
code
,
.md-fences
{
background-color
:
rgb
(
218
,
218
,
218
);
}
code
{
padding-left
:
2px
;
padding-right
:
2px
;
}
.md-fences
{
margin-left
:
2em
;
margin-bottom
:
3em
;
padding-left
:
1ch
;
padding-right
:
1ch
;
}
pre
,
code
,
tt
{
font-size
:
0.875em
;
line-height
:
1.71429em
;
}
h1
{
line-height
:
1.3em
;
font-weight
:
normal
;
margin-bottom
:
0.5em
;
}
p
+
ul
,
p
+
ol
{
margin-top
:
0.5em
;
}
h3
+
ul
,
h4
+
ul
,
h5
+
ul
,
h6
+
ul
,
h3
+
ol
,
h4
+
ol
,
h5
+
ol
,
h6
+
ol
{
margin-top
:
0.5em
;
}
li
>
ul
,
li
>
ol
{
margin-top
:
inherit
;
margin-bottom
:
0px
;
}
li
ol
>
li
{
list-style-type
:
lower-alpha
;
}
li
li
ol
>
li
{
list-style-type
:
lower-roman
;
}
h2
,
h3
{
margin-bottom
:
0.75em
;
}
hr
{
border-top
:
none
;
border-right
:
none
;
border-bottom
:
1px
solid
;
border-left
:
none
;
}
h1
{
border-color
:
rgb
(
197
,
197
,
197
);
}
blockquote
{
border-color
:
rgb
(
186
,
186
,
186
);
color
:
rgb
(
101
,
101
,
101
);
}
blockquote
ul
,
blockquote
ol
{
margin-left
:
0px
;
}
.ty-table-edit
{
background-color
:
transparent
;
}
thead
{
background-color
:
rgb
(
218
,
218
,
218
);
}
tr
:nth-child
(
2n
)
{
background
:
rgb
(
232
,
231
,
231
);
}
hr
{
border-color
:
rgb
(
197
,
197
,
197
);
}
.task-list
{
padding-left
:
1rem
;
}
.md-task-list-item
{
padding-left
:
1.5rem
;
list-style-type
:
none
;
}
.md-task-list-item
>
input
::before
{
content
:
"√"
;
display
:
inline-block
;
width
:
1.25rem
;
height
:
1.6rem
;
vertical-align
:
middle
;
text-align
:
center
;
color
:
rgb
(
221
,
221
,
221
);
background-color
:
rgb
(
243
,
242
,
238
);
}
.md-task-list-item
>
input
:checked::before
,
.md-task-list-item
>
input
[
checked
]
::before
{
color
:
inherit
;
}
#write
pre
.md-meta-block
{
min-height
:
1.875rem
;
color
:
rgb
(
85
,
85
,
85
);
border
:
0px
;
background
:
transparent
;
margin-left
:
1em
;
margin-top
:
1em
;
}
.md-image
>
.md-meta
{
color
:
rgb
(
155
,
81
,
70
);
}
.md-image
>
.md-meta
{
font-family
:
Menlo
,
"Ubuntu Mono"
,
Consolas
,
"Courier New"
,
"Microsoft Yahei"
,
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</head>
<body
class=
'typora-export os-windows'
>
<div
id=
'write'
class =
'is-node'
><div
class=
'md-toc'
mdtype=
'toc'
><p
class=
"md-toc-content"
><span
class=
"md-toc-item md-toc-h1"
data-ref=
"n2"
><a
class=
"md-toc-inner"
href=
"#header-n2"
>
概述
</a></span><span
class=
"md-toc-item md-toc-h2"
data-ref=
"n3"
><a
class=
"md-toc-inner"
href=
"#header-n3"
>
报告内容
</a></span><span
class=
"md-toc-item md-toc-h2"
data-ref=
"n11"
><a
class=
"md-toc-inner"
href=
"#header-n11"
>
监控的模型
</a></span><span
class=
"md-toc-item md-toc-h2"
data-ref=
"n64"
><a
class=
"md-toc-inner"
href=
"#header-n64"
>
时间跨度
</a></span><span
class=
"md-toc-item md-toc-h1"
data-ref=
"n68"
><a
class=
"md-toc-inner"
href=
"#header-n68"
>
PSI
</a></span><span
class=
"md-toc-item md-toc-h2"
data-ref=
"n69"
><a
class=
"md-toc-inner"
href=
"#header-n69"
>
与整体差别较大的客群
</a></span><span
class=
"md-toc-item md-toc-h3"
data-ref=
"n70"
><a
class=
"md-toc-inner"
href=
"#header-n70"
>
概述
</a></span><span
class=
"md-toc-item md-toc-h3"
data-ref=
"n78"
><a
class=
"md-toc-inner"
href=
"#header-n78"
>
有哪些客群
</a></span><span
class=
"md-toc-item md-toc-h3"
data-ref=
"n144"
><a
class=
"md-toc-inner"
href=
"#header-n144"
>
资质相对好的客群
</a></span><span
class=
"md-toc-item md-toc-h3"
data-ref=
"n153"
><a
class=
"md-toc-inner"
href=
"#header-n153"
>
资质相对差的客群
</a></span><span
class=
"md-toc-item md-toc-h2"
data-ref=
"n158"
><a
class=
"md-toc-inner"
href=
"#header-n158"
>
随时间分布变化较大的客群
</a></span><span
class=
"md-toc-item md-toc-h3"
data-ref=
"n159"
><a
class=
"md-toc-inner"
href=
"#header-n159"
>
有哪些客群
</a></span><span
class=
"md-toc-item md-toc-h3"
data-ref=
"n200"
><a
class=
"md-toc-inner"
href=
"#header-n200"
>
资质变好的客群
</a></span><span
class=
"md-toc-item md-toc-h3"
data-ref=
"n214"
><a
class=
"md-toc-inner"
href=
"#header-n214"
>
资质变差的客群
</a></span><span
class=
"md-toc-item md-toc-h1"
data-ref=
"n226"
><a
class=
"md-toc-inner"
href=
"#header-n226"
>
AUC
</a></span><span
class=
"md-toc-item md-toc-h2"
data-ref=
"n227"
><a
class=
"md-toc-inner"
href=
"#header-n227"
>
概述
</a></span><span
class=
"md-toc-item md-toc-h2"
data-ref=
"n233"
><a
class=
"md-toc-inner"
href=
"#header-n233"
>
相比整体模型效果较差的客群
</a></span><span
class=
"md-toc-item md-toc-h2"
data-ref=
"n255"
><a
class=
"md-toc-inner"
href=
"#header-n255"
>
模型效果随时间变差的客群
</a></span></p></div><h1><a
name=
'header-n2'
class=
'md-header-anchor '
></a>
概述
</h1><h2><a
name=
'header-n3'
class=
'md-header-anchor '
></a>
报告内容
</h2><ul><li>
本次模型报告由于代码处于开发阶段, 所以内容并不完整.
</li><li>
主要包括模型分的PSI, 以及AUC随时间的变化, 以及客群与整体的差别.
</li><li>
尽管模型监控代码加入了自动筛选异常客群的功能, 但要更加深入分析仍需要时间, 此版报告为简略版.
</li></ul><h2><a
name=
'header-n11'
class=
'md-header-anchor '
></a>
监控的模型
</h2><ul><li><p>
已监控模型:
</p><ul><li>
同盾V1
</li><li>
V6
</li><li>
百融V1
</li><li>
首贷融合模型
</li><li>
融360首贷融合模型
</li><li>
新颜V2
</li><li>
新颜V3
</li><li>
魔蝎
</li><li>
复贷新融合模型(无运营商)
</li><li>
复贷新融合模型(有运营商)
</li><li>
短信模型
</li><li>
探知
</li><li>
同盾V2
</li><li>
电话邦V2
</li><li>
百融V2
</li><li>
复贷V4
</li><li>
首贷新融合模型(无运营商)
</li><li>
首贷新融合模型(有运营商)
</li></ul></li><li><p>
暂未监控模型:
</p><ul><li><p>
不明原因(待与模型负责人交流):
</p><ul><li>
APP模型
</li><li>
量信分V2
</li></ul></li><li><p>
还有一些模型待加入.
</p></li></ul></li></ul><h2><a
name=
'header-n64'
class=
'md-header-anchor '
></a>
时间跨度
</h2><ul><li>
考虑到整体模型的时间跨度, 本次模型监控报告的取数时间范围为2019.03.01 - 2019.07. 26.
</li></ul><h1><a
name=
'header-n68'
class=
'md-header-anchor '
></a>
PSI
</h1><h2><a
name=
'header-n69'
class=
'md-header-anchor '
></a>
与整体差别较大的客群
</h2><h3><a
name=
'header-n70'
class=
'md-header-anchor '
></a>
概述
</h3><ul><li>
由模型监控代码在已监控模型中, 产生的有效客群数量为465个.
</li><li>
设定PSI阈值(0.5)后, 筛选出的与整体差别较大的异常客群有15个.
</li><li>
设定PSI阈值(0.1)后, 筛选出的变化较大的异常客群有25个.
</li></ul><h3><a
name=
'header-n78'
class=
'md-header-anchor '
></a>
有哪些客群
</h3><ul><li><p>
客群列举:
</p><figure><table><thead><tr><th
style=
'text-align:center;'
>
客群名称
</th><th
style=
'text-align:center;'
>
月份
</th><th
style=
'text-align:center;'
>
PSI
</th></tr></thead><tbody><tr><td
style=
'text-align:center;'
>
同盾V1-复贷-百融榕树
</td><td
style=
'text-align:center;'
>
6
</td><td
style=
'text-align:center;'
>
0.57
</td></tr><tr><td
style=
'text-align:center;'
>
V6-首申-国美api
</td><td
style=
'text-align:center;'
>
6
</td><td
style=
'text-align:center;'
>
2.47
</td></tr><tr><td
style=
'text-align:center;'
>
V6-首申-壹账通H5
</td><td
style=
'text-align:center;'
>
3
</td><td
style=
'text-align:center;'
>
1.75
</td></tr><tr><td
style=
'text-align:center;'
>
V6-首申-平安一贷通安卓
</td><td
style=
'text-align:center;'
>
5
</td><td
style=
'text-align:center;'
>
2.07
</td></tr><tr><td
style=
'text-align:center;'
>
V6-复贷-51公积金API
</td><td
style=
'text-align:center;'
>
3
</td><td
style=
'text-align:center;'
>
0.53
</td></tr><tr><td
style=
'text-align:center;'
>
新颜V2-复申-挖财api
</td><td
style=
'text-align:center;'
>
4
</td><td
style=
'text-align:center;'
>
0.57
</td></tr><tr><td
style=
'text-align:center;'
>
首贷融合模型-复贷-全渠道
</td><td
style=
'text-align:center;'
>
5
</td><td
style=
'text-align:center;'
>
1.09
</td></tr><tr><td
style=
'text-align:center;'
>
首贷融合模型-首申-壹账通H5
</td><td
style=
'text-align:center;'
>
3
</td><td
style=
'text-align:center;'
>
1.89
</td></tr><tr><td
style=
'text-align:center;'
>
首贷融合模型-首申-平安一贷通安卓
</td><td
style=
'text-align:center;'
>
5
</td><td
style=
'text-align:center;'
>
2.13
</td></tr><tr><td
style=
'text-align:center;'
>
首贷融合模型-复申-挖财api
</td><td
style=
'text-align:center;'
>
4
</td><td
style=
'text-align:center;'
>
0.51
</td></tr><tr><td
style=
'text-align:center;'
>
融360首贷融合模型-复贷-全渠道
</td><td
style=
'text-align:center;'
>
5
</td><td
style=
'text-align:center;'
>
1.01
</td></tr><tr><td
style=
'text-align:center;'
>
融360首贷融合模型-首申-壹账通H5
</td><td
style=
'text-align:center;'
>
3
</td><td
style=
'text-align:center;'
>
1.82
</td></tr><tr><td
style=
'text-align:center;'
>
融360首贷融合模型-首申-平安一贷通安卓
</td><td
style=
'text-align:center;'
>
5
</td><td
style=
'text-align:center;'
>
2.13
</td></tr><tr><td
style=
'text-align:center;'
>
融360首贷融合模型-复申-挖财api
</td><td
style=
'text-align:center;'
>
4
</td><td
style=
'text-align:center;'
>
0.67
</td></tr></tbody></table></figure><p>
</p></li></ul><h3><a
name=
'header-n144'
class=
'md-header-anchor '
></a>
资质相对好的客群
</h3><ul><li><p>
暂时鉴别方式为在异常的基础上去看图, 准备后续加入趋势判断, 自动识别是变好还是变差.
</p></li><li><p>
经过查看, 均为资质相对较好的客群.
</p></li><li><p>
例如:
</p><p><img
src=
'../doc/image/融360首贷融合模型-复申-挖财api.png'
alt=
'融360首贷融合模型-复申-挖财api'
referrerPolicy=
'no-referrer'
/></p></li></ul><h3><a
name=
'header-n153'
class=
'md-header-anchor '
></a>
资质相对差的客群
</h3><ul><li>
无.
</li></ul><p>
</p><h2><a
name=
'header-n158'
class=
'md-header-anchor '
></a>
随时间分布变化较大的客群
</h2><h3><a
name=
'header-n159'
class=
'md-header-anchor '
></a>
有哪些客群
</h3><ul><li><p>
部分客群列举:
</p><figure><table><thead><tr><th
style=
'text-align:center;'
>
客群名称
</th><th
style=
'text-align:center;'
>
月份
</th><th
style=
'text-align:center;'
>
PSI
</th></tr></thead><tbody><tr><td
style=
'text-align:center;'
>
同盾分v1-首申-百融榕树
</td><td
style=
'text-align:center;'
>
5
</td><td
style=
'text-align:center;'
>
0.29
</td></tr><tr><td
style=
'text-align:center;'
>
V6-全样本
</td><td
style=
'text-align:center;'
>
7
</td><td
style=
'text-align:center;'
>
0.10
</td></tr><tr><td
style=
'text-align:center;'
>
新颜V2-复贷-全渠道
</td><td
style=
'text-align:center;'
>
5
</td><td
style=
'text-align:center;'
>
0.66
</td></tr><tr><td
style=
'text-align:center;'
>
新颜v3-全样本
</td><td
style=
'text-align:center;'
>
6
</td><td
style=
'text-align:center;'
>
0.10
</td></tr><tr><td
style=
'text-align:center;'
>
魔蝎-全样本
</td><td
style=
'text-align:center;'
>
6
</td><td
style=
'text-align:center;'
>
0.34
</td></tr><tr><td
style=
'text-align:center;'
>
短信分-全样本
</td><td
style=
'text-align:center;'
>
7
</td><td
style=
'text-align:center;'
>
0.13
</td></tr><tr><td
style=
'text-align:center;'
>
融360首贷融合模型-首申-融360
</td><td
style=
'text-align:center;'
>
4
</td><td
style=
'text-align:center;'
>
0.12
</td></tr><tr><td
style=
'text-align:center;'
>
电话邦V2-首申-全渠道
</td><td
style=
'text-align:center;'
>
6
</td><td
style=
'text-align:center;'
>
0.13
</td></tr></tbody></table></figure></li></ul><h3><a
name=
'header-n200'
class=
'md-header-anchor '
></a>
资质变好的客群
</h3><ul><li><p>
暂时鉴别方式为在异常的基础上去看图, 准备后续加入自动识别.
</p></li><li><p>
部分资质变好客群列举:
</p><figure><table><thead><tr><th
style=
'text-align:center;'
>
客群名称
</th></tr></thead><tbody><tr><td
style=
'text-align:center;'
>
V6-全样本
</td></tr><tr><td
style=
'text-align:center;'
>
新颜V2-复贷-全渠道
</td></tr></tbody></table></figure><p><img
src=
'../doc/image/V6-全样本.png'
alt=
'V6-全样本'
referrerPolicy=
'no-referrer'
/></p></li></ul><h3><a
name=
'header-n214'
class=
'md-header-anchor '
></a>
资质变差的客群
</h3><ul><li><p>
部分资质变差客群列举:
</p><figure><table><thead><tr><th
style=
'text-align:center;'
>
客群名称
</th></tr></thead><tbody><tr><td
style=
'text-align:center;'
>
同盾分v1-首申-百融榕树
</td></tr><tr><td
style=
'text-align:center;'
>
短信分-全样本
</td></tr></tbody></table></figure><p><img
src=
'../doc/image/同盾分v1-首申-百融榕树.png'
alt=
'同盾分v1-首申-百融榕树'
referrerPolicy=
'no-referrer'
/></p></li></ul><h1><a
name=
'header-n226'
class=
'md-header-anchor '
></a>
AUC
</h1><h2><a
name=
'header-n227'
class=
'md-header-anchor '
></a>
概述
</h2><ul><li>
由代码产生的客群为113个, 因为本身放款数量相对申请数量少, 且需要响应时间.
</li><li>
设定AUCR阈值为0.85, 得到的异常客群数量为23个.
</li></ul><h2><a
name=
'header-n233'
class=
'md-header-anchor '
></a>
相比整体模型效果较差的客群
</h2><ul><li><p>
客群列举:
</p><figure><table><thead><tr><th
style=
'text-align:center;'
>
客群名称
</th><th
style=
'text-align:center;'
>
月份
</th><th
style=
'text-align:center;'
>
AUCR
</th></tr></thead><tbody><tr><td
style=
'text-align:center;'
>
新颜V2-首申-挖财api
</td><td
style=
'text-align:center;'
>
4
</td><td
style=
'text-align:center;'
>
0.80
</td></tr><tr><td
style=
'text-align:center;'
>
新颜V2-首申-爱奇艺H5
</td><td
style=
'text-align:center;'
>
3
</td><td
style=
'text-align:center;'
>
0.80
</td></tr><tr><td
style=
'text-align:center;'
>
新颜v3-首申-360金融API
</td><td
style=
'text-align:center;'
>
4
</td><td
style=
'text-align:center;'
>
0.85
</td></tr></tbody></table></figure><p><img
src=
'../doc/image/新颜V2-首申-爱奇艺H5.png'
alt=
'新颜V2-首申-爱奇艺H5'
referrerPolicy=
'no-referrer'
/></p></li></ul><h2><a
name=
'header-n255'
class=
'md-header-anchor '
></a>
模型效果随时间变差的客群
</h2><ul><li><p>
部分客群列举:
</p><figure><table><thead><tr><th
style=
'text-align:center;'
>
客群名称
</th><th
style=
'text-align:center;'
>
月份
</th><th
style=
'text-align:center;'
>
AUCR
</th></tr></thead><tbody><tr><td
style=
'text-align:center;'
>
同盾分v1-首申-爱奇艺H5
</td><td
style=
'text-align:center;'
>
4
</td><td
style=
'text-align:center;'
>
0.76
</td></tr><tr><td
style=
'text-align:center;'
>
同盾分v1-首申-挖财api
</td><td
style=
'text-align:center;'
>
6
</td><td
style=
'text-align:center;'
>
0.77
</td></tr><tr><td
style=
'text-align:center;'
>
V6-复申-全渠道
</td><td
style=
'text-align:center;'
>
6
</td><td
style=
'text-align:center;'
>
0.70
</td></tr><tr><td
style=
'text-align:center;'
>
首贷融合模型-首申-融360
</td><td
style=
'text-align:center;'
>
5
</td><td
style=
'text-align:center;'
>
0.75
</td></tr></tbody></table></figure><p><img
src=
'../doc/image/V6-复申-全渠道.png'
alt=
'V6-复申-全渠道'
referrerPolicy=
'no-referrer'
/></p></li></ul><p>
</p></div>
</body>
</html>
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