Data Analysis Machine Learning and Applications Episode 2 Part 3 pps
Data Analysis Machine Learning and Applications Episode 2 Part 3 pps
... preparation (data= d1, variable='lname',
method='asoundex')
lname asoundex.lname
11 525 6 WESTERHEIDE W 236
20 0001 BESTEWEIDE B 233
20 00 02 WESTERWELLE W 236
3. 3 Candidate selection
candidates (data1 , ... retains only 83
candidates.
> candidates (data1 =d1.prep, data2 =d2.prep,
method='blocking',selvars1='asoundex.lname')
> candidates (...
Data Analysis Machine Learning and Applications Episode 2 Part 5 pps
... number
unknown
up
unknown
down
p2p
up
p2p
down
web
up
web
down
0 5 10 15 20 25
0
1
2
3
4
5
6
x 10
6
0 5
1
0
1
5
2
0
2
5
0
0.5
1
1.5
2
2.5
x 10
6
Typical day 12 for web down application (8%)
volume ... 20 30 40 50 60 70 80
0
0 .2
0.4
0.6
0.8
1
Typical day 12
0 5 10 15 20 25
0
1
2
3
4
5
x 10
7
0 5
1
0
1
5
2
0
2
5
0
2
4
6
8
10
x 10
6
cluster 6, application: p2p do...
Data Analysis Machine Learning and Applications Episode 2 Part 1 pot
... watermark database.
Classes 1 2 3 4 5 6 7 8 9 10 11 12 13 14
N 32 2 115 139 71 91 44 197 126 99 33 14 31 17 416
P(N /2) .4 92 .24 3 .21 4 .144 .109 .24 4 .1 73 .097 .4 42 .068 .190 .8 02 .556 .28 3
R(N /2) . 528 ... .28 3
R(N /2) . 528 . 139 .3 02 .197 .088 .1 82 .1 52 .191 .26 3 .061 .1 43 .710 .3 52 .36 1
29 6 Triebel et al.
data point p whose features x are cl...
Data Analysis Machine Learning and Applications Episode 2 Part 2 ppsx
... 20 01), FSG (Kuramochi and Karypis 20 01),
MoSS/MoFa (Borgelt and Berthold 20 02) , gSpan (Yan and Han 20 02) , Closegraph
(Yan and Han 20 03) , FFSM (Huan et al. 20 03) , and Gaston (Nijssen and Kok 20 04).
A ... Figure 3. Each column gives the new
nodes that have been added by FSMTree.
1 2 3 4 5 6
N
1
() N
2
(1) N
2
(2) N
3
(3) N
6
(3, 4) N
2
(5) N
7
(1 ,3,...
Data Analysis Machine Learning and Applications Episode 2 Part 4 doc
... J4.8(cv) RPart0 RPart1 QUEST CTree
J4.8 029 911 839
J4.8(cv)
408911941
RPart0
560710 735
RPart1
64108 625
QUEST
422 50 720
CTree
76789 037
26 20 27 38 49 37
Complexity J4.8 J4.8(cv) RPart0 RPart1 QUEST ... QUEST CTree
J4.8 010 020 3
J4.8(cv)
17 0 0 0 5 3 25
RPart0
18 18 0 0 13 15 64
RPart1
18 18 16 0 14 15 81
QUEST
15 13 5 4 0 10 47
CTree
18 14 3 2 8 0 45
86 64...
Data Analysis Machine Learning and Applications Episode 2 Part 6 potx
... (67%) and while some cover a wide
Analysis of Stock Markets 36 1
108560
1 826
10 936 026 2851 83
1816
9 23 1 021 51
1948
1 23 47 02
1 924
30 0440790 03 526 98
1858
24 7198 924 00
1898
26 32 6 628 200005145
1775
22 8009 03 921 9106010056
1 922
704600
1969
9761860
1847
1 826 181619481 924 1858189817751 922 19691847
108560
1 826
10 936 026 2851 83
1816
9 23 1 021 51
1948
1 2...
Data Analysis Machine Learning and Applications Episode 2 Part 7 docx
... 2
Characteristic values
Actor (Family) 4 . 23 3 3.418
1 Acciaiuoli 0. 129 0. 134
2 Albizzi 0 .21 0 0 .30 0
3 Barbadori 0.179 0.0 53
4 Bischeri 0. 32 8 -0 .26 0
5 Castellani 0 .29 6 -0 .35 3
6 Ginori 0.094 0. 1 23
7 ... 0. 1 23
7 Guadagni 0 .28 3 0.166
8 Lamberteschi 0.086 0.076
9 Medici 0 .38 3 0. 434
10 Pazzi 0. 039 0.117
11 Peruzzi 0 .33 9 -0 .38 5
12 Pucci 0.000 0.000
13...
Data Analysis Machine Learning and Applications Episode 2 Part 8 docx
... .24 (1) .09 (2) 6.19 .21 (1) . 02 (2)
33 (3) 23 (3)
Security concerns 10.87 .36 (1) .06 (2) 11.86 . 53 (1) 09 (2)
42 (3) 44 (3)
Climate 11.45 .01 (2) .36 (1) 9.69 13 (2) .39 (1)
37 (3) 26 (3)
Beach ... 7.78 24 (2) .24 (1) 12. 84 32 (2) . 32 (1)
Type of building 9.09 .08 (2) 22 (3) 8 .36 03 (2) 12 (3)
.14 (1) .15 (1)
Outside facilities 7.40 .25 (1) .00 (2) 12. 11 .28 (1)...
Data Analysis Machine Learning and Applications Episode 2 Part 9 pdf
... pseudo R
2
1 - 131 .49 28 0.97 28 9.97 .00 . 23
2 -117.04 27 6.09 29 7.09 .09 .81
3 -100.96 26 7. 92 30 0. 92 .08 . 92
4 -89.76 26 9. 52 31 4. 52 .11 . 92
5 - 82. 62 279 .24 33 6 .24 .11 .95
Classifying Contemporary Marketing ... 0.0 32 0.044 0. 020
Level 2 18 .2 % 0.117 14.4 % 0.080 21 .8 % 0.154
Level 3 0.140 0.095 0.184
Attribute 2 Level 1 0.106 0.177 0. 036...
Data Analysis Machine Learning and Applications Episode 2 Part 10 docx
... 0.00.51.01. 52. 02. 53. 0
ARL 3 42. 18 34 1. 42 33 9. 42 33 4. 52 32 6 . 63 316.80 30 6. 92
SDRL 33 8.74 33 8. 62 33 8.77 33 8.89 33 8.54 33 7.80 33 7 .35
10 Q(.10) 38 37 35 30 22 12 5
Q(.50) 23 8 23 7 23 6 23 0 22 2 21 2 20 1
Q(.90) ... 24 146 433 3
Q(.50) 1417 921 8 533
Q(.90) 44 535 07 820 964
ARL 199 .35 119. 63 29 . 83 9.91 5 .38 3. 88 3. 31
SDRL 1...
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