LIST OF WETLANDS IN INDIA UNDER RAMSAR...
Transcript of LIST OF WETLANDS IN INDIA UNDER RAMSAR...
APPENDIX-l
LIST OF WETLANDS IN INDIA UNDER RAMSAR CONVENTION
SINo Name of Ramsar Site State Area(ha) Date
Kolleru Lake Andhra Pradesh 90100 19108/02
2 Deepor Bee! Assam 4000 19108/02
3 Pong Dam Lake Himachal Pradesh 15662 19108/02
4 Renuka Wetland Himachal Pradesh 20 08111105
5 ChandertalWetland Himachal Pradesh 49 08111105
6 Wular Lake Jammu and Kashmir 18900 23/03/90
7 Tsomoriri Jammu and Kashmir 12000 19108/02
8 Hokera Wetland Jammu and Kashmir 1375 08111/05
9 Surinsar-Mansar Lakes Jammu and Kashmir 350 08111105
10 Ashtamudi Wetland Kerala 61400 19108/02
11 Sasthamkotta Lake Kerala 373 19108/02
12 Vembanad-Kol Wetland Kerala 151250 19108/02
13 Bhoj Wetland Madhya pradesh 3201 19108/02
14 Loktak lake manipur 26600 23/03/90
15 .Chilika Lake Orissa 116500 01110/81
16 Bhitarkanika Mangroves Orissa 65000 19108/02
17 Harike Lake Punjab 4100 23/03/90
18 Kanjli Punjab 183 22/01102
19 Ropar Punjab 1365 22/01/02
20 Sambhar Lake Rajasthan 24000 23/03/90
21 Keoladeo National Park Rajasthan 2873 01110/83
22 Point Calimere Wildlife Tamil Nadu 38500 19108/02
and Bird Sanctuary 240 0811110523 Rudrasagar Lake Tripura
24 Uppar Ganga Uttar Prdaesh 26590 08/11105
River(Brijghat to NaroraStretch) 12500 19/08/02
25 East Kolkata Wetlands West Bengal
Total Sites (25)677131
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APPENDIX-2
APPENDIX-3
INFILTRATION CHARACTERISTICS OF SOIL IN VARIOUS LSG OF KOLLAMDISTRICT
No Name ofLSGGravel
Sand% Silt&Clay% Penneability Infiltration% mm/sec nature
1 Adichanal 21 54 25 4.68.6 x 10-4 Very slow2 Alayamon 8 79 13 4.216 x 10-4 Very slow3 Anchal 11 73 16 3.87 x 10-4 Very slow4 Arienkavu 24 66 10 3.12 x 10-4 Very slow5 Chadayama 22 64 14 4.82 x 10-4 Very slow6 Chathannur 22 61 17 4.64 x 10-3 Moderate7 Chavara 11 65 24 6.92 x 10-3 Moderate8 Chithara 28 51 21 4.1 x 10-4 Very slow9 Clappana 18 56 26 3.68 x 10-3 Moderate10 Edamulack 18 60 22 5.26 X 10-4 Slow11 Elamad 18 62 20 3.59 x 10-4 Very slow12 Elampallo 22 56 22 3.92 x 10-3 Moderate13 Ezhukone 26 60 14 3.8 x 10-3 Moderate14 Kadakkal 24 69 17 3.69 x 10-3 Moderate15 Kalluvath 4 81 15 3.71 x 10-3 Moderate16 Karavaloo 16 71 13 3.46 x 10-4 Very slow17 Kareepra 18 62 20 4.19x10-3 Moderate18 Karunagap 18 62 20 3.85 x 10-3 Moderate19 Kizhakkek 24 66 10 3.91 x 10-3 Moderate20 Kallam (M 17 54 29 4.58 x 10-3 Moderate21 Kottarnkar 17 66 17 5.01 x 10-3 Moderate22 Kottarakk 13 71 16 4.01 x 10-3 slow23 kulakkada 27 60 11 3.90 x 10-3 slow24 Kulasekha 17 51 29 4.06 x 10-3 slow25 Kulathupu 18 72 10 3.01 x 10-4 Very slow26 Kundara 19 59 22 4.19xl0-4 Very slow
27 Kunnathur 16 65 19 4.52 x 10-4 Slow
28 Melila 23 58 19 4.42 x 10-4 Slow
29 Mundrothu 24 61 15 3.74 x 10-3 slow
30 Mylom 14 65 21 5.61 x 10-4 Slow
31 Mynagappa 24 49 27 4.11 x 10-4 Very slow
32 Mayyanadu 30 59 11 5.18 x 10-3 Moderate
33 Nedumpana 13 58 29 4.18 x 10-3 slow
34 Neduvatho 32 55 13 4.99 x 10-4 Slow
35 Neendakar 28 58 14 4.86x 10-3 Moderate
36 Nilamel 61 17 5.24 x 10-4 Slow22 Slow37 Oachira 55 27 3.99 x 10-318 Moderate38 Panayam G 68 12 5.95 x 10-320
3.92 x 10-3 slow39 Panmana 11 68 214.08 x 10-3 slow40 Paravoor 13 69 18
41 Pathanapu 24 60 16 3.51 x 10-4 Very slow
42 Pattazhy 12 75 13 3.61 x 10-4 Very slow
43 Pattazhy 23 71 6 4.11 x 10-4 Very slow
44 Pavithres 55 32 4.12 x 10-4 Very slow13 3.98 x 10-3 Moderate45 Perayam 12 56 22
5.28 x 10-3 Moderate46 Perinad 20 70 1047 4.51 x 10-3 Moderate
Poothakku 32 57 11
149
48 Pooyappa1 32 47 21 5.68 x 10-4 Slow49 Poruvazhy 11 73 16 5.72 x 10-4 Slow50 Puna1ur 16 69 15 5.64 x 10-4 Slow51 Sasthamko 17.1 59.9 24 4.42 x 10-4 Slow52 Sooranad 19 67 14 3.96 x 10-4 Very slow53 Sooranad 23 56 21 3.78 x 10-3 slow54 Thalavur 37 56 7 3.64 x 10-4 Very slow55 Thazhava 9 59 32 4.15 x 10-3 slow56 Thekkumbh 20 69 11 6.18 x 10-3 Moderate57 Thenma1a 15 68 17 3.12 x 10-4 Very slow58 Thevalakk 12 64 24 3.16 x 103 slow59 Thodiyoor 22 54 24 4.16 x 103 slow60 Thrikkada 21 67 12 5.91 x 10-3 Moderate61 THRIKKARU 22 66 12 6.15 x 10-3 Moderate62 Thrikkovi 26 61 13 5.85 x 10-3 moderate63 Ummannoor 18 67 15 3.61 x 10-4 Very slow64 Velinallo 25 64 11 3.16 x 10-3 slow65 Veliyam 18 58 24 3.54 x 10-4 Very slow66 Vettikkav 25 65 10 4.61 x 10-4 Slow67 Vilakkudy 32 56 12 5.98 x 10-4 moderate68 West Kall 23 65 12 3.74 x 10-3 slow69 Yeroor 18 71 11 2.45 x 10-4 Very slow70 Piravanth 22 75 3 2.9 x 10-3 slow71 Alappad 12 60 28 3.98 x 10-4 Very slow72 Ittiva 20 63 17 3.83 x 10-4 Very slow
150
APPENDIX-4
LAND USE PATTERN OF KOLLAM DISTRICT AREA IN SQ.KM
1
1510.160.020.042.24y
Park
Residential Commercial Industrial Public Agricultural&
Transportation RailwayWaterLSGbodies
Vacant Forestopenspace
Adichanallur 9.37 0.13 0.21 0.46 9.77 0.53 0.31 0 1.46 0.01 0
Alayamon 2.84 0.06 0.02 0.18 21.13 0.12 0.26 0 0.01 0.14 6.84
Anchal 5.22 0.45 0.04 0 18.81 0 0.12 0 0.08 0.04 0
Arienkavu 9.31 0.13 0.09 0.55 66.61 4.2 0 0 0.01 0 168.57
Chadayama 7.88 0.05 0.02 0.16 13.15 0 0.26 0 0.43 0.24 0
Chathannu 19.24 0.16 0.33 0.64 11.46 0 0.5 0 1.13 0.19 0
Chavara 10.88 0.07 0.31 0 0.54 0.12 0.11 0 0.74 0 0
Chithara 12.81 0.18 0.01 0.23 49.05 0.1 0.52 0 0.03 0 0
Clappana 8.06 0.03 0.01 0.21 0.68 0 0.19 0 0.21 0.95 0
Edamulack 12.78 0.25 0.09 0.32 25.24 0.09 0.17 0 0 0 0
Elamad 4.27 0.02 0.06 0.16 24.41 0 0.37 0 0.11 0.78 0
Elampallo 10.26 0.1 0.22 0.28 3.57 0 0.88 0 0.29 1.05 0
Ezhukone 8.39 0.14 0.08 0.58 5.77 0 0.39 0 0.03 0.19 0
Kadakkal 29.12 0.17 0.02 0.48 22.79 0.09 0.59 0 0.1 0 0
Kalluvath 19.34 0.21 0.37 15.56 0 0.68 0 0.35 0.08 00.2Karavaloo 5.49 0.01 20.98 0 0.04 0 0 0.04 00.06 0.01Kareepra 7.12 0.16 0.23 0 0.18 0 014.74 0.06 0.1 0.68Karunagap 1.66 0 0 0.45 1.14 0.1 013.85 0.28 0.03 0.37Kizhakkek 0 0 0.23 1.28 1.61 07.38 0.04 0.08 0.34 2.46Kollam (M 0 3.05 0 3.45 1.83 0
41.5 1.28 1.2 3.31 2.15
Kottamkar 0 0.15 0 0.07 0.16 07.03 0.02 0.11 0.13 1.29
Kottarakk 0.4 0 0.1 0.21 06.96 0.28 0.04 1.53 8.03 0
kulakkada 0.62 0 1.12 0.34 016.05 0.04 0.16 0.44 9.98 0
Kulasekha 0.3 0 0.24 0.26 011.5 0.25 0.11 0.5 2.52 0
KUlathupu 0 0 8.16 12.17 282.586.79 0.09 0.04 0.36 101.3 0
Kundara 0.23 0 0.01 0.24 06.56 0.15 0.24 0.33 1.59 0
0.42 0 1.19 0.43 0Kunnathur 5.75 0.06 0.11 0.26 13.2 0
0 0Melila 0.31 0 0.184.81 0.09 0.07 0 13.4 0.14
0.31 0Mundrothu 0.18 0 6.8
3.35 0 0.01 0.1 2.47 00.41 0.33 0.18 0
Mylom 12.32 0.05 0.04 0.14 14.07 0 00.57 0.16 0
Mynagappa 0.4 014.34 0.04 0.08 0.27 3.94 0
1.26 0.37 0Mayyanadu 2.63 0 0 0.18
12.56 0.08 0.13 0.45
0 1.13 0.08 0Nedumpana 17.31 0.05 0.11 0.2 5.86 0 0.45
0 0.02 0.11 0Neduvatho 7.06 0.17 0.15 0.41 14.82 0 0.41
1.57 0.18 0Neendakar 0.41 0
3.08 0.09 0.16 0.1 00 0.06 0.22 0Nilamel 0.23 0
4.39 0.01 0.37 13.91 00.14 0.06 0.08 0Oachira 0.32 0
11.13 0.15 0.03 0.26 1.3 00.03 0
Panayam G 0.3 0 2.26.47 0.04 0.21 1.26 0
00.03 1.88 0.78Panmana 0 0.34 0
13.5 0.04 0.83 0.39 1.610.37 3.86 0.04 0
Paravoor 0 09.02 0.13 0.05 0.59 2.16 0.12 0.4Pathanapu 0.11 0 0.42
4.52 0.37 19 0 00.27 0.07 1.05 0Pattazhy 0.07 0
2.29 0.1 0.01 0.11 15.67 0.110.11 0 0
Pattazh 0.12 03.99 0.05
Park
Residential Commercial Industrial Public Agricultural&
Transportation RailwayWater
lSG bodiesVacant Forest
openspace
Pavithres 15.92 0.07 0.35 0.27 7.73 0.13 0.14 0 0.72 0 0
Perayam 8.95 0.06 0.3 0.29 0.9 0 0.15 0 7.17 0.22 0
Perinad 7.77 0.03 0.22 0.2 1.87 0 0.27 0 5.15 0.11 0
poothakku 9.09 0.08 0.02 0.24 4.71 0 0.2 0 1.87 0.04 0
Pooyappal 9.05 0.03 0.07 0.14 12.13 0 0.29 0 0.18 0.25 0
Poruvazhy 7.83 0.05 0.05 0.15 9.84 0 0.64 0 0.61 0.18 0
Punalur 8.55 0.32 0.07 0.62 23.11 0 0.55 0 0.81 0.44 0
Sasthamko 13.94 0.11 0.04 0.38 4.09 0 0.29 0 5.14 0.47 0
Sooranad 11.61 0.05 0.14 0.42 7.06 0 0.99 0 0.87 1.59 0
Sooranad 11.5 0.04 0.22 0.38 5.18 0 0.14 0 0.76 0.05 0
Thalavur 6.91 0.07 0.03 0.32 24.85 0 0 0.12 0.51 0.22 0
Thazhava 17.64 0.06 0.03 0.42 4.15 0 0.25 0 0.42 0.16 0
Thekkumbh 4.46 0.03 0.01 0.2 0.73 0.01 0.05 0 9.23 0 0
Thenmala 5.3 0.09 0.01 0.4 55.17 0 0.61 0 0.04 2.72 69.16
Thevalakk 12.52 0.07 0.07 0.27 1.59 0 0.22 0 2.44 0.07 0
Thodiyoor 14.41 0.12 0.23 0.51 3.48 0.22 0.81 0 0.76 0 0
Thrikkada 6.55 0.07 0.04 0.24 1.35 0.05 0.34 0 6.22 0 0
THRIKKARU 5.61 0.02 0.01 0.2 0.74 0 0.07 0 11.52 0.09 0
Thrikkovi 13.86 0.1 0.3 0.38 4.43 0.08 0.3 0 0.66 0 0
Ummannoor 6.8 0.11 0.09 0.44 26.05 0 0.46 0 0.06 0.31 0
Velinallo 7.94 0.17 0.05 0.2 17.21 0.27 0.31 0 0.33 0 0
Veliyam 8.07 0.09 0.06 0.2 20.42 0 0.28 0 0.23 0.8 0
Vettikkav 10.72 0.12 0.04 0.52 23.07 0 0.85 0 0.53 0.28 0
Vilakkudy 9.32 0.04 0.04 0.58 11.17 0 0.18 0 0.11 0 0
West Kall 6.05 0.02 0.1 0.21 3.13 2.34 0.41 0 0.8 0 0
Yeroor 2.48 0.09 0.01 0.17 48.45 0 0.44 0 0.42 1.61 5.37
Piravanth 16.27 0.21 0.01 4 51.27 0.03 0 0 1.99 0 63.55
Alappad 3.96 0.01 0 0.2 0.01 0 0.15 0 2.21 0.27 0
Ittiva 7.93 0.06 0.03 0.16 31.86 0 0.51 0 0.69 0.28 0
152
THE EXTENT OF PADDY IN KOLLAM DISTRICT
APPENDIX-5
SI.No
12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455
Name ofLSG
AlayamonAnchalAryankavuEdamulakkKaravalooKulathupuThenrnalaYeroorThrikkadaThrikkaruChadayamaChitharaElammaduIttivaKadakkalNilamelVelinalloChavaraNeedakaraPanmanaThekkubhaThevalakkKizhakkekKundaraMandrothuPanayamPerayamPerinaduAdichanalChathanooKalluvathNedumpanaBhootahkuAlappadKarunagapMynagappaThodiyoorEzhukoneKareepraKottarakkNeduvathoPooyappalVeliyamElampalloKottarnkarMayyanaduThrkkovilClappanaKulasekhaOachiraThazhavaPathanapuPartazhyPattazhyPiravanth
153
Area(ha)
100150o
245110125401709201301021802252807016525o10o50150753
12020
23568180400400
94.52o
9012018012546012010021022940225351702580501303715070100
56
57585960616263646566676869707172
ThalavoorVilakudy
KunnathurPoruvazhySasthamco
SooranadSooranad
West KallKu1akkadaMe1ilaMylom
Pavithres
UmmannoorVettikkavKollam CoParavurM
PunalurM
154
10010060170205310236702402001502452752303325275
APPENDIX-6
LAND USE PATTERN OF KOLLAM CORPORATION AREA IN SQ.KM
No Name of Ward Res Com Ind Pub Agri Tot Tot T Water Vacca Forestm Park bodies nt
&Open
I Shasthiku1angaraSpace
0.895 0.015 0.01 0.13 0.004 0.004 0.019 0.146 0 0West
2 Shasthiku1angara 0.95 0.014 0 0.06 0 0 0.031 0.004 0.0073 0Middle
3 Shasthiku1angara 0.87 0.021 0.04 0.07 0.043 0 0.03 0.922 0.1176 0North
4 Kavanadu 0.518 0.024 0 0.02 0 0 0.021 0 0 0
5 Kureepuzha 0.685 0.01 0.02 0.04 0 0 0 0 0.0017 0North
6 Kureepuzha 0.67 0.011 0.02 0.1 0.022 0.013 0.072 0.414 0.0144 0South
7 Mulankadakam 0.68 0.017 0 0.03 0.035 0 0.081 0.001 0.0032 0
8 Thevally 0.635 0.045 0.02 0.2 0.003 0.001 0.098 0.001 0.0159 0
9 Asramom South 0.476 0.043 0.1 0.13 0.008 0.222 0.141 0.721 0.1089 0
10 Asramom North 0.56 0.017 0.02 0.06 0.021 0 0.089 0 0.0671 0
11 Uliyakovi1 West 0.561 0.002 0.01 0.02 0.024 0 0.049 0 0.0743 0
12 Uliyakovi1 East 0.86 0.004 0.05 0.04 0.029 0.005 0.076 0.006 0.0554 0
13 Kadappakada 0.756 0.014 0.01 0.02 0 0 0.066 0.001 0.0027 0.0351
14 Koickal 0.82 0.008 0 0.01 0 0 0.026 0.001 0 0.0418
15 Kallumthazham 1.14 0.12 0.1 0.12 0.013 0 0.074 0.035 0.0156 0.0386
16 Mangad 1.14 0.0078 0.02 0.06 0.1002 0.0577 0.104 0.0004 0.0264 0
17 Arunootimangala 1.0115 0.0008 0.03 0.1 0.053 0 0.0011 0.0007 0.093 0.0169
m18 Chathanarnkulam 1.1161 0.0236 0.05 0.01 0.06 0 0.0023 0 0 0.0327
19 Karicode 0.96 0.0132 0.02 0.03 0 0 0.0186 0.0004 0.1218 0.0816
20 College division 0.76 0.0035 0.04 0.08 0.0772 0 0.0012 0.0002 0 0.0747
21 Palkulangara 0.92 0.0217 0.05 0.03 0.0572 0 0.0438 0.0353 0.0081 0.0091
22 Ammannada 0.63 0.0013 0 0.04 0.0124 0 0.0169 0.0009 0.0005 0
23 Vadakkevi1a 0.77 0.0057 0.01 0.03 0.0029 0 0.0007 0 0.0008 0
24 Pallimukku 0.74 0.0212 0.02 0.01 0 0 0 0.0004 0.013 0
25 Ayathil 0.8335 0.0039 0.03 0.02 0.0622 0 0.0219 0.0019 0 0
26 Mulluvi1a 0.9015 0.0125 0.02 0.01 0.1214 0 0.0887 0.0291 0.0022 0
27 Kilikollur 0.9652 0.0134 0.05 0.02 0.0604 0.0103 0.001 0.0026 0.0341 0
28 Palathara 1.7227 0.0109 0.01 0.07 0.7875 0.0022 0.0736 0.0234 0.0013 0
29 Manakkadu 1.0878 0.0524 0.01 0.06 0.0563 0.0023 0.0001 0.001 0.04 0
30 Kollurvi1a 0.51 0.0127 0.04 0.02 0.0042 0 0.0234 0.0002 0 0.0166
155
JI Kayyalakkal 0.81 0.0222 0.01 0.01 0 0 0.0127 0.0163 0 0.01j2 Valathungal 1.1 0.0161 0.01 0.08 0.0299 0 0.0005 0.0002 0.0004 0.0251
18298)3 Akkolil 1.42 0.0133 0 0.05 0.1586 0 0.0126 0.0068 0 0
53998)4 Thekkumbagam 0.8418 0 0.01 0.07 0.0702 0 0.0055 0.2611 0.039 0)5 Eravipuram 1.11 0.0169 0.04 0.06 0.0103 0 0.0199 0 0 0.0001)6 Bharanikavu 1.07 0.0111 0.01 0.06 0 0.0117 0.0261 0.0003 0 0.0255J7 Thekkevila 1.1 0.0099 0.09 0.05 0.0761 0 0 0 0 0)8 Mundakkaleast 0.989 0.0027 0 0.02 0 0 0.0903 0.0417 0.0439 0.0001)9 Pattathanam 0.4354 0.0056 0 0.05 0 0.0013 0.0487 0.0032 0.0127 0.000240 Cantonment 0.42 0.1109 0.01 0.67 0 0.1146 0.1699 0.0012 0.005 0.21941 Mundakka1west 0.6673 0.0269 0.18 0.07 0.0001 0.0151 0.0899 0.0482 0.0312 0.0289
42 Thamarakkulam 0.31 0.3762 0 0.1 0.0108 0 0.12940.1001 0.0047 04) Pallithottam 0.2012 0.0106 0.01 0.02 0.0041 0.0246 0.0561 0.0018 0.0386 044 Beach north 0.149 0.0057 0.01 0.03 0 0 0.0255 0.0001 0.0121 045 Cuchery 0.35 0.0277 0.02 0.1 0 0 0.0803 0.0004 0.0115 046 kaikulangara 0.3694 0.0107 a 0.07 0.0002 0.0076 0.0713 0.0109 0.0412 0
47 Thankaserry west 0.9 0.0032 a 0.03 0.0581 0.0034 0.0889 0.01 0.0164 0
48 Thirumullavaram 0.9741 0.0031 0.01 0.04 0 0.0009 0.0942 0.0105 0.0962 0
49 Kannime1 East 1.81 0.0318 0.01 0.1 0.0066 0 0.065 0.18070.0319 0
50 Kannime1 West 1.36 0.0044 0.01 0.02 0.0552 0 0.011 0.0196 0.0088 0
156
APPENDIX-7
DETAILS OF POPULATION DENSITY, HOUSE DENDITY AND TYPE OF HOUSES INKOLLAM CORPORATION
SI. Name of Ward Population HouseType of Houses
No density density Pucca SemiPucca Kutcha
Shasthikulangara West 5527 1249.18 1233 208 83
2 Shasthikulangara6758 1501.87 528Middle 120 959
3 Shasthikulangara North 2719 626.066 660.5 136.591 523.9094 Kavanadu 7505 1644.07 362.489 489.947 117.5645 Kureepuzha North 8016 1776 587.279 566.366 178.3556 Kureepuzha South 5834 1225.37 1141.85 386.855 113.2987 Mulankadakam 10046 2197.65 1205.23 642.779 20.17448 Thevally 6611 1558.42 635.581 696.18 242.0819 Asramom South 3528 780 1100.6 86.5449 333.8610 Asramom North 7640 1700 624.65 204.595 581.61411 Uliyakovil West 7758 1742.67 1104.55 165.728 36.8574
12 Uliyakovil East 7389 1639.29 1673.15 44.4312 118.422
13 Kadappakada 7451 1693.41 1017.06 369.84 154.1
14 Koickal 7049 1492.39 1031.95 251.259 89.7942
15 Kallumthazham 4211 896.386 578.683 358.162 551.155
16 Mangad 3566 824.183 630.5 504.4 126.1
17 Arunootimanga1am 5242 1138.93 633.802 765.844 92.3548
18 Chathanamkulam 6283 1335.39 980.319 367.685 387.996
19 Karicode 5540 1208 899.205 525.933 84.862
20 College division 6932 1498.06 980.268 344.861 217.872
21 Palkulangara 5181 1152.94 513.128 580.082 278.928
22 Ammannada 9545 2097.14 1435.41 16.2948 16.2948
23 Vadakkevi1a 8038 1803.61 1058.83 304.34 133.832
24 Pallimukku 9597 1907.41 965.625 401.082 178.293
25 Ayathil 7653 1603.06 1025.55 240.049 305.402
26 Mulluvila 6375 1380.83 837.448 748.301 71.251
27 Kilikollur 6539 1342.61 1479 48.7904 16.212
28 Palathara 2821 618.298 785.347 549.815 117.838
29 Manakkadu 5961 1199.24 853.21 663.59 54.1995
30 Kollurvila 12578 2322.22 859.22 580.518 23.2617
31 Kayyalakkal 10934 2019.32 1680.51 57.9302 38.5609
32 Valathunga1 5165 1112.6 678.24 649.98 84.78
33 Akkolil 4487 968.675 582.739 679.862 345.398
34 Thekkumbagam 5609 1271.54 713.6 514.91 424.49
35 Eravipuram 6036 1374.4 695.446 797.667 225.058
36 Bharanikavu 5831 1285.95 986.193 525.928 43.8792
157
)7 Thekkevila 5824 1318.8 707.213 933.654 113.133)8 Mundakkaleast 6471 1510.92 445.544 1288.81 63.6492)9 Pattathanam 9911 2107.14 1020.94 145.848 13.21640 Cantonment 4737 1100 1729.58 40.2182 221.241 Mundakkalwest 6254 1423.48 1195.01 261.92 180.0742 Thamarakkulam 7046 1387.38 864.116 465.282 99.744243 Pallithottam 25233 5010.81 927 927 044 Beach north 31822 6039.13 519.208 843.818 25.974345 Cuchery 9821 2201.28 1113.3 566.095 37.774
46 kaikulangara 13058 2715.25 1549.13 52.866 0
47 Thankaserry west 7429 1601.8 1289.58 468.859 19.558
48 Thirumullavaram 5611 1254.47 701.294 689.721 151.986
49 Kannime1 East 4000 892.825 947.119 850.555 193.326
50 Kannimel West 5581 1205.37 453.131 1107.77 234.917
46220.1 23237.3 8725.03
158
VALUES OF RUNOFF COEFFICIENT
SI.No Land use K
1 Dry Agriculture OJ2 Paddy 0.15
3 Residential 0.6
4 Commercial 0.7
5 Industrial 0.7
6 Open Space 0.15
7 Public Place 0.5
8 Transport 0.79 Vaccant 0.310 Forest 0.3
APPENDIX-8
PARTICLE SIZE ANALYSIS OF SOIL FROM THE SELECTED WARDS IN KOLLAMCORPORATION
Particle size Shasthikulangara Shasthikulangara Uliyakovil Karicode(mm) West Middle
1 2 1 2 1 2 1 2
4.75 98.5 99.7 99.7 99.7 85 91 52.4 94.2
2 97.6 98.2 99 99.5 65 75 46.8 92.8
1 94.9 83.8 9203 97.7 55 65 42 9103
0.6 93.4 73.8 84.7 9603 50 55 40.5 88.9
0.425 90.7 61 68.2 92.7 48.6 44 37.7 80.4
OJ 88.7 55.9 60.1 90.3 45.2 38 35.9 74.6
0.15 33.4 30.7 21.6 44.9 34.9 26 24.5 43.7
0.075 6.8 21.8 8.8 25.2 28 13 20.7 25.5
0.003 18 16 20 8 21
.0015 16 12 1315
DIO
159
j_UNCONVERTED SOIL
l.CONVERTED SOIL
Particle size Kollur vila Ammannada Valathungal(mm) Cutchery
ongmconverted original
Converte1 2al d 2
4.75 86 90.7 97.7 67.3 98.2 54.1 95.3 99.12 84.7 87.2 97.5 62.1 97.7 48 93.4 98.8I 78.9 71.4 96.1 56.8 95.7 39.4 84.4 94.2
0.6 69.7 61.7 91.4 53 82.3 34.9 71.7 83.6
0.425 34.9 49 44.6 46.3 35.5 29.1 47.5 52.6
0.3 26.1 44.3 36 42.2 25.3 26.9 41 42.8
0.15 24 34.3 16.8 30 12.1 23.1 20.1 22.3
0.075 10.6 29.5 12.6 24 6.8 20.7 11.5 13.4
0.003 22 16 14
0.0016 17 12 9
Particle sizeThirumullavaram Tankassery Kannimel
. (nun)
Original converted Original
1 2 1 2 1 2
4.75 96.1 95.5 92 65.1 98.9 57.1
2 95 93.7 90.4 59.8 98.6 49.9
1 76.8 83.4 84.2 54 96.8 42.5
0.6 65.8 71.1 . 77.4 51.9 94 40.1
0.425· 54.3 57.2 47.4 49.1 78.7 36.5
OJ 50.6 52.3 38 47.8 67.2 34.5
0.15 33 32 14.2 41.6 23.7 28.5
0.Q75 12 24.5 8.9 36.6 13 22.8
0.003 18 4 22 19
0.0016 13 12 9
160
APPENDIX-9
DEMAND SUPPLY, SHORTAGE AND SOURCE OFWATER IN THE WARDS
No Name of WardWater Demand in supply by water
mid authorityin mid Shortage in mld
I Shasthikulangara West 1.34 1.02
2 Shasthikulangara Middle 1.42 1.02 0.4
3 Shasthikulangara North 1.45 1.02 0.43
4 Kavanadu 1.35 1.02 0.33
5 Kureepuzha North 1.3 0.35 0.95
6 Kureepuzha South 1.35 0.35 1
7 Mulankadakam 1.28 0.54 0.74
8 Thevally 1.34 0.54 0.8
9 Asramom South 1.38 0.42 0.96
10 Asramom North 1.31 0.42 0.89
11 Uliyakovil West 1.36 0.42 0.94
12 Uliyakovil East 1.42 0.42 1
13 Kadappakada 1.36 0.42 0.94
14 Koickal 1.3 0.15 1.15
IS Kallumthazham 1.4 0.15 1.25
16 Mangad 1.41 0.15 1.26
17 Arunootimangalam 1.47 0.7 0.77
18 Chathanamkulam 1.42 0.7 0.72
19 Karicode 1.29 0.7 0.59
20 College division 1.42 0.7 0.72
21 Palkulangara 1.26 0.7 0.56
22 Ammannada 1.32 0.35 0.97
23 Vadakkevila 1.42 0.15 1.27
24 Pallimukku 1.38 1.02 0.36
25 Ayathil 1.41 0.7 0.71
Mulluvila 1.53 0.7 0.8326
0.7 0.827 Kilikollur 1.5
0.7 0.7228 Palathara 1.42
0.70.67
29 Manakkadu 1.370.25
1.2230 Kollurvila 1.47
0.251.14
31 Kayyalakkal 1.39
161
]2 Valathungal 1.49 0.25 1.2433 Akkolil 1.36 0.25 1.1134 Thekkumbagam 1.46 0.25 1.2135 Eravipuram 1.35 0.25 1.136 Bharanikavu 1.39 0.25 1.1437 Thekkevila 1.35 1.02 0.3338 Mundakkaleast 1.53 1.02 0.51
39 Pattathanam 1.33 1.02 0.31
40 Cantonment 1.52 1.02 0.5
41 Mundakkalwest 1.39 1.02 0.37
42 Thamarakkulam 1.45 0.35 1.1
43 Pallithottam 1.31 0.35 0.96
44 Beach north 1.42 0.54 0.88
45 Cuchery 1.5 0.54 0.96
46 kaikulangara . 1.31 0.54 0.77
47 Thankaserry 1.43 0.54 0.89
48 Thirumullavaram 1.37 0.54 0.83
49 Kannimel East 1.44 0.54 0.9
50 Kannimel West 1.32 0.54 0.78
162
APPENDIX-IO
RESPONSE OF SURVEY ABOUT SOURCE AND SHORTAGE
Ward Source of water Water scarcity peoples response %
well pIpe No Yes
1 Shasthikulangara West 1.83 98.17 3.67 96.33
2 Shasthikulangara Middle 30.3 69.7 43.08 56.92
3 Shasthikulangara North 46.43 53.57 46.07 53.93
4 Kavanadu 61.46 23.96 46.38 53.62
5 Kureepuzha North 79.28 20.72 0.79 98.41
6 Kureepuzha South 48.28 51.72 45.66 53.76
7 Mulankadakam 94.51 5.49 9.89 90.11
8 Thevally 73.79 26.21 2.91 97.09
9 Asramom South 74.8 25.2 39.11 60.08
10 Asramom North 77.69 22.31 33 66.92
11 Uliyakovil West 54.93 45.07 44.93 55.07
12 Uliyakovil East 82.93 17.07 7.32 92.68
13 Kadappakada 96 0 32 68
14 Koickal 100 0 37.35 62.65
15 Kallumthazham 98.11 1.89 22.38 77.62
16 Mangad 65 35 32.5 67.5
17 Arunootimangalam 99.11 0.89 1.79 98.21
18 Chathanamkulam 100 0 27.38 72.62
19 Karicode 96.63 0 8.05 91.96
20 College division 97.65 2.35 38.82 58.82
21 Palkulangara 94.26 5.74 35.9 64.1
22 Ammannada 100 0 30 70
23 Vadakkevila 98.33 1.67 36.67 73.33
24 Pallimukku 99.04 0.96 40 60
25 Ayathil 0 32.5 67.598.59
26 Mulluvila 91.4 6.9 93.18.6
11.58 45.32 54.6827 Kilikollur 88.42
28 Palathara 10.81 28.65 78.6583.78
0 30 7029 Manakkadu 100
0 1.59 98.4130 Kollurvila 100
40 6031 Kayyalakkal 100 0
163
II Valathunga1 100 a 2.1 97.87
JJ Akko1il 91.95 7.38 24.6 75.37
J4 Thekkumbagam 73.22 26.78 35.08 64.92
J) Eravipuram 100 0 0 100
J6 Bharanikavu 100 0 0 97.18
17 Thekkevila 98.28 1.72 5.17 94.83
J8 Mundakka1east 98.23 1.77 38 72
J9 Pattathanam 89.77 10.23 36.67 63.33
~O Cantonment 61.62 38.38 26.97 73.03
~l Mundakkalwest 97 3 49 51
~2 Thamarakku1am 90.48 9.52 13.33 86.67
43 Pallithottam 25 73.33 48.33 61.67
44 Beach north 36.19 63.81 25.71 74.29
45 Cuchery 79.12 20.88 30.55 69.45
46 kaikulangara 65.22 34.78 62.64 67.36
47 Thankaserry 75.82 23.08 28.02 70.88
48 Thirumullavaram 74.44 24.81 13.46 85.79
49 Kannimel East 89.11 10.89 18.04 81.96
50 Kannimel West 58.82 41.18 33.73 66.27
164
APPENDIX -11
DETAILS OF SANITATION FACILITIES
No Ward Spetic Sanitary % o/publictank(%) latrine (%) places
1 Shasthikulangara West 94.23 0 5.77
2Shasthikulangara
27.69 32.31Middle 40
3 Shasthikulangara North 100 0 0
4 Kavanadu 89.58 0 10.42
5 Kureepuzha North 100 0 0
6 Kureepuzha South 97.69 0 2.31
7 Mulankadakam 100 0 0
8 Thevally 98.06 0 1.94
9 Asramom South 98.37 1.63 0
10 Asramom North 99.23 0 0.77
11 Uliyakovil West 100 0 0
12 Uliyakovil East 98.39 1.61 0
13 Kadappakada 97.96 0 2.04
14 Koickal 98.67 1.33 0
15 Kallumthazham 100 0 0
16 Mangad 95 5 0
17 Arunootimangalam 13.39 86.61 0
18 Chathanamkulam 97.62 0 2.38
19 Karicode 13.48 85.39 1.12
20 College division 96.47 3.53 0
21 Palkulangara 98.36 1.64 0
22 Ammannada 100 0 0
23 Vadakkevila 100 0 0
24 Pallimukku 0.96 99.04 0
25 Ayathil 98.59 1.41 0
26 Mulluvila 100 0 0
27 Kilikollur 97.89 2.11 0
28 Palathara 18.92 43.24 37.84
29 Manakkadu 3.45 96.55 0
30 Kollurvila 36.51 63.49 0
31 Kayyalakkal 97.83 2.17 0
32 Valathungal 63.83 36.17 0I
33 Akkolil 99.3 0.7 0
34 Thekkumbagam 1.06 95.74 3.19
35 Eravipuram 51.81 46.99 1.2
165
36 Bharanikavu 50 50 a37 Thekkevila 20.69 77.59 1.72
38 Mundakkaleast 100 a a39 Pattathanam 100 a a40 Cantonment 98.98 a 1.02
41 Mundakkalwest 98 2 a42 Thamarakkulam 100 a a43 Pallithottam 93.22 6.78 a44 Beach north 97.14 2.86 a45 Cuchery 98.9 a 1.1
46 kaikulangara 100 a a47 Thankaserry 96.7 3.3 a48 Thirumullavaram 8.33 90.15 1.52
49 Kannimel East 34.31 63.73 1.96
50 Kannimel West 66.34 27.72 5.94
166
APPENDIX -12
SAMPLE QUESTIONAIIRE FOR SOCIO ECONOMIC SURVEY
Serial No
Location: Latitude:
Date:
Longitude:
Yes/No
Yes/No
Yes/No
1. Name of House Owner:
2. House No:
3. Type of house: Pucca Semi-pucca Kutcha
4. Source of Water Supply: Well Pipe Others
5. Have you ever felt water shortage? Yes\No
Ifyes, since when: -Jyear
6. Have you ever felt salinity: Yes/No
If yes, since when: -Jyear
7. Have you ever experienced any fluctuation in water level in well: Yes/No
8. Mode of Sanitation:
9. Distance of well from septic tan1e
10. Have you ever experienced flooding?:
If yes, when: _
11. Is there water logging during rainy season:
12. Is there any settlement cracks in building:
167
APPENDIX -13
RESULTS OF SOCIO ECONOMIC SURVEY CONDUCTED IN KOLLAMCORPORATION ABOUT THE IMPACTS
No Name of ward Percntage of people marked Yes
flooding & Salinity Settlement
water loggingWater scarcity
intrusioncracks inbuildinds
1 Shasthikulangara West 68.21 96.33 61.79 92.12
2 Shasthiku1angara Middle 71.23 56.92 62.5 91.14
3 Shasthiku1angara North 20.36 53.93 63.36 65
4 Kavanadu 91.65 53.62 61.23 8569
5 Kureepuzha North 98.41 72.36. 79.89
6 Kureepuzha South 53.76 61.13. 75.63.
7 Mulankadakam 67.67 90.11 21.23 6956
8 Thevally 95.56 97.09 42.56 84.23
9 Asramom South 26.23. 60.08 21.89 87.54
10 Asramom North 61.45 66.92 22.12 83.68
11 U1iyakovi1 West 69.12 55.07 23.45 74.69
12 U1iyakovi1 East 76.78 92.68 63.78 96.67
13 Kadappakada 79.23 68 32.13 58.62
14 Koicka1 82.56 62.65 31.46 98.63
15 Ka11umthazham 84.89 77.62 23.79 65.52
16 Mangad 85.32 67.5 24.31 64.89
17 Arunootimanga1am 83.65 98.21 28.64 6895
18 Chathanamku1am 84.98 72.62 18.97 6897
19 Karicode 52.12 91.96 22.25 69.56
20 College division 57.45 58.82 12.28 85.56.
21 Pa1ku1angara 67.78 64.1 23.36 8554
22 Ammannada 86.89 70 62.39 84.56
23 Vadakkevi1a 95.56 73.33 63.14 81.24
24 Pallimukku 96.23 60 35.17 87.26
25 Ayathi1 87.37 67.5 56..12 86.28
26 Mulluvi1a 71.35 93.1 63.45 83.27
27 Ki1ikollur 59.26 54.68 54.78 82.29
28 Pa1athara 45.29 78.65 48.98 78.23
29 Manakkadu 65.24 70 56.97 76.54
30 Kollurvi1a 75.27 98.41 87.65 79.56
31 Kayya1akka1 76.21 60 36.64 74.36
32 Va1athunga1 63.15 97.87 72.32 79.41
33 Akko1i1 64.18 75.37 58.31 65.45
34 Thekkumbagam 31.14 64.92 69.96 89.47
35 Eravipuram 69.17 100 67.93 94.58
168
36 Bharanikavu 59.12. 97.18 65.95 91.6537 Thekkevila 61.25 94.83 36.58 92.8538 Mundakkaleast 48.58 72 3859 79.8739 Pattathanam 66..14 63.33 35.54 75.4540 Cantonment 63.17 73.03 45.23 78.1241 Mundakkalwest 61.74 51 56.14 98.5642 Thamarakkulam 52.71 86.67 64.57 95.0143 Pallithottam 48.85 61.67 68.56 90.744 Beach north 34.82 74.29 67.34 91.3545 Cuchery 52.52 69.45 79.54 8.36446 kaikulangara 42..25 67.36 54.68 86.9647 Thankaserry 42.28 70.88 69.73. 84.6948 Thirumullavaram 41.36 85.79 85.59 87.8749 Kannimel East 61.39 81.96 84.92 89.23.50 Kannimel West 62.96 66.27 82.91 87.12
169
APPENDIX 14
REGRESSION ANALYSIS USING SUPPORT VECTOR MACHINE
=== Run information ===scheme:
Relation:Instances:Attributes:
Test mode:
weka.classifiers.functions.SVMreg -c 100.0 -N 0 -I"weka.classifiers.functions.supportvector.RegSMOImproved -L0.0010 -w 1 -P 1.0E-12 -T 0.0010 -v" -K"we ka.classifiers.functions.supportvector.polyKernel -c 80 -E1.0"
uth_train485xlx2x3x4yevaluate on training data
=== classifier model (full training set) ---sVMreg
weights (not support vectors):0.518 * (normalized) xl
+ 0.0228 * (normalized) x2+ 1.6684 * (normalized) x3+ 0.3379 * (normalized) x4+ 0.1975
Number of kernel evaluations: 58297 (58.278% cached)
Time taken to build model: 0.05 seconds
=== Predictions on training set ===inst#, actual, predicted, error
1 0.868 0.878 0.0112 0.801 0.776 -0.0253 0.708 0.837 0.1294 0.784 0.8 0.0165 0.935 0.889 -0.0466 1.118 1.068 -0.057 0.69 0.764 0.0748 1.041 0.928 -0.1139 0.764 0.8 0.035
10 0.659 0.787 0.12811 1.003 1.002 -0.00112 0.922 0.915 -0.00813 0.889 0.802 -0.08714 0.896 0.848 -0.04815 0.682 0.772 0.0916 0.952 0.856 -0.09617 1.068 1.021 -0.04718 0.935 0.913 -0.02219 1.127 1.496 0.36820 1.046 1.113 0.06721 0.864 0.984 0.1222 0.927 0.846 -0.0823 1.039 1.038 -0.00124 1.042 0.975 -0.06725 0.758 0.849 0.09126 0.736 0.823 0.08727 0.893 0.894 0.00128 0.829 0.828 -0.00129 1.015 0.919 -0.09630 1.021 1.001 -0.0231 0.997 0.897 -0.132 0.775 0.86 0.085
170
33343536373839404142434445464748
1.1490.7191. 0821.0561. 081.0220.70.6470.6540.9561. 0881.0420.9450.8150.8430.742
1. 2790.7850.9461. 0571. 0351.0470.8380.7910.790.8470.9231. 0650.9130.8120.8720.868
0.1310.066
-0.1360.001
-0.0460.0250.1370.1440.136
-0.109-0.1650.023
-0.032-0.0030.0290.126
=== Evaluation on training set=== Summary ===Correlation coefficientMean absolute errorRoot mean squared errorRelative absolute errorRoot relative squared errorTotal Number of Instances
=== Run information ===
0.77010.07330.0973
57.8252 %66.7153 %48
scheme:
Relation:Instances:Attributes:
Test mode:
weka.classifiers.functions.SVMreg -c 100.0 -N 0 -I"we ka.classifiers.functions.supportvector.RegsMoImproved -L0.0010 -w 1 -p 1.0E-12 -T 0.0010 -v" -K"weka.classifiers.functions.supportvector.RBFKernel -c 100 -G1.0"
uth_train485xlx2x3x4yevaluate on training data
=== classifier model (full training set) ---
SVMreg
support vectors:-100.0 * k[O]+100.0 * k[l]-100.0 * k[2]-100. 0 * k[3]-71.64936871252853 * k[4]-30.7672618284859 * k[5]+100.0 * k[6]+100.0 * k[7]+100.0 * k[8]-100.0 * k[9]+20.845318214657524 * k[10]+12.082376455822146 * k[ll]+100.0 * k[12]+100. 0 * k[13]-68.04460127731681 * k[14]+100.0 * k[15]+100.0 * k[16]-100.0 * k[17]+2.7984624882109204 * k[18]+26.314069590368774 * k[19]+100.0 * k[21]
171
-100.0 ~, k[22]-34.98565276673217 * k[23]-100.0 ~, k[24]+8.985798854637958 * k[25]-58.02445129657898 * k[26]+35.004401741288426 * k[27]+100.0 ~, k[28]-100.0 ~, k[29]+100. 0 ~, k[30]-100. 0 ~, k[31]+0.5572562992293632 * k[32]+44.7092648944652 * k[33]+100.0 ~, k[34]-19.25872577776615 * k[35]+100.0 * k[36]-67.94476290124636 * k[37]-100.0 ~, k[38]-100.0 * k[39]-100.0 * k[40]+100.0 * k[41]+100.0 * k[42]+6.146753052081801 * k[43]-6.768877030107148 * k[44]+100.0 * k[45]-100.0 * k[46]-100.0 * k[47]+ 0.7464
Number of kernel evaluations: 114963 (81.894% cached)
Time taken to build model: 0.08 seconds
=== Predictions on training set ===inst#, actual, predicted, error
1 0.868 0.93 0.0632 0.801 0.654 -0.1473 0.708 0.85 0.1424 0.784 0.821 0.0375 0.935 0.936 0.0016 1.118 1.119 0.0017 0.69 0.686 -0.0048 1.041 0.993 -0.0489 0.764 0.753 -0.011
10 0.659 0.775 0.11611 1.003 1.002 -0.00112 0.922 0.922 -0.00113 0.889 0.804 -0.08414 0.896 0.887 -0.00915 0.682 0.683 0.00116 0.952 0.869 -0.08317 1.068 1.058 -0.0118 0.935 0.954 0.0219 1.127 1.127 020 1.046 1.045 021 0.864 0.863 022 0.927 0.826 -0.123 1.039 1. 045 0.00624 1.042 1.043 0.00125 0.758 0.868 0.1126 0.736 0.736 027 0.893 0.894 0.00128 0.829 0.828 -0.00129 1.015 0.996 -0.01930 1. 021 1.032 0.0131 0.997 0.979 -0.01832 0.775 0.883 0.10833 1.149 1.148 034 0.719 0.718 035 1. 082 0.996 -0.08536 1.056 1.056 0
172
37 1.08 1 -0.0838 1.022 1.022 039 0.7 0.797 0.09640 0.647 0.649 0.00241 0.654 0.702 0.04942 0.956 0.874 -0.08243 1.088 1.074 -0.01444 1.042 1.042 045 0.945 0.946 0.00146 0.815 0.81 -0.00547 0.843 0.907 0.06448 0.742 0.841 0.099
--- Evaluation on training set ------ summary ===correlation coefficient 0.9194Mean absolute error 0.0361Root mean squared error 0.0575Relative absolute error 28.4938 %Root relative squared error 39.4343 %Total Number of Instances 48
=== Run information ===scheme:
Relation:Instances:Attributes:
Test mode:
weka.classifiers.functions.SVMreg -c 100.0 -N 0 -I"weka.classifiers.functions.supportvector.RegsMOImproved -L0.0010 -w 1 -P 1.0E-12 -T 0.0010 -v" -K"weka.classifiers.functions.supportvector.RBFKernel -c 100 -G1.0"uth_train485xlx2x3x4yuser supplied test set: 20 instances
=== classifier model (full training set) ===
sVMreg
support vectors:-100.0 * k[O]+100.0 * k[l]-100 . 0 * k[2]-100 . 0 * k[3]-71.64936871252853 * k[4]-30.7672618284859 * k[S]+100.0 * k[6]+100. 0 * k[7]+100.0 * k[8]-100.0 * k[9]+20.845318214657524 * k[10]+12.082376455822146 * k[ll]+100.0 * k[12]+100.0 * k[13]-68.04460127731681 * k[14]+100.0 * k[15]+100.0 * k[16]-100.0 * k[17]+2.7984624882109204 * k[18]+26.314069590368774 * k[19]+100.0 * k[21]-100 .0 * k[22]-34.98565276673217 * k[23]
173
-100.0 ~( k[24]+8.985798854637958 * k[25]-58.02445129657898 * k[26]+35.004401741288426 * k[27]+100.0 ~( k[28]-100.0 ~( k[29]+100.0 ~( k[30]-100. 0 ~( k[31]+0.5572562992293632 * k[32]+44.7092648944652 * k[33]+100.0 * k[34]-19.25872577776615 * k[35]+100.0 ~( k[36]-67.94476290124636 * k[37]-100.0 ~( k[38]-100.0 * k[39]-100.0 * k[40]+100.0 * k[41]+100.0 * k[42]+6.146753052081801 * k[43]-6.768877030107148 * k[44]+100.0 * k[45]-100.0 * k[46]-100.0 * k[47]+ 0.7464
Number of kernel evaluations: 114963 (81.894% cached)
Time taken to build model: 0.08 seconds
=== predictions on test set ===inst#, actual, predicted, error
1 1 0.943 -0.0572 0.927 0.891 -0.0363 0.964 0.9 -0.0644 0.69 0.662 -0.0285 1.021 0.902 -0.1196 1.054 1.094 0.0417 1.069 1. 091 0.0228 1.05 0.982 -0.0679 1.058 0.928 -0.13
10 1.056 1.108 0.05211 1.01 1. 01 012 0.699 0.72 0.02113 0.761 0.832 0.07114 0.731 0.79 0.05915 0.768 0.812 0.04416 0.831 0.896 0.06517 0.965 0.907 -0.05818 0.656 0.349 -0.30719 1.1 0.838 -0.26220 0.688 0.682 -0.006
=== Evaluation on test set ====== summary ===correlation coefficientMean absolute errorRoot mean squared errorRelative absolute errorRoot relative squared errorTotal Number of Instances
=== Run information ===
0.8130.07550.1075
53.1765 %70.2793 %20
scheme: weka.classifiers.functions.SVMreg -c 5.0 -N 0 -I"weka.classifiers.functions.supportvector.RegsMoImproved -L0.0010 -w 1 -P 1.0E-12 -T 0.0010 -v" -K
174
Relation:Instances:Attributes:
Test mode:
"weka.classifiers.functions.supportvector.polYKernel -c 5 -E2.0"uth_train485xlx2x3x4yuser supplied test set: 20 instances
==~ classifier model (full training set) ===
SVMreg
support vectors:-5.0 * k[O]-5.0 * k[l]-5.0 * k[2]+5.0 * k[3]+5.0 * k[4]+5.0 * k[5]-5.0 * k[6]+5.0 * k[7]-5.0 * k[8]-5.0 * k[9]+5.0 * k[10]+2.633524558135476 * k[ll]+5.0 * k[12]+5.0 * k[13]-5.0 *k[14]+5.0 * k[15]+5.0 * k[16]-1.0165578493039158 * k[18]-5.0 * k[19]-5.0 * k[20]+5.0 * k[21]+5.0 * k[22]+5.0 * k[23]-5.0 * k[24]-5.0 * k[25]+5.0 * k[26]-5.0 * k[27]+5.0 * k[28]+2.165285161086492 * k[29]+5.0 * k[30]-5.0 * k[31]-5.0 * k[32]-5.0 * k[33]+5.0 * k[34]-5.0 * k[35]+5.0 * k[36]+5.0 * k[37]-5.0 * k[38]-5.0 * k[39]-5.0 * k[40]+5.0 * k[41]+5.0 * k[42]-5.0 * k[43]+5.0 * k[44]+1.2177481300819453 * k[45]-5.0 * k[46]-5.0 * k[47]+ 0.4737
Number of kernel evaluations: 18942 (18.035% cached)
Time taken to build model: 0 seconds
175
=== predictions on test set ===inst#, actual, predicted, error
1 1 0.901 -0.0992 0.927 0.871 -0.0553 0.964 0.839 -0.1254 0.69 0.85 0.1615 1. 021 0.916 -0.1056 1.054 1.03 -0.0247 1.069 0.994 -0.0758 1. 05 0.991 -0.0589 1.058 1.1 0.042
10 1.056 1.048 -0.00811 1. 01 1.003 -0.00812 0.699 0.853 0.15413 0.761 0.778 0.01714 0.731 0.813 0.08315 0.768 0.855 0.08816 0.831 0.9 0.06917 0.965 0.915 -0.0518 0.656 0.877 0.2219 1.1 0.912 -0.18720 0.688 0.83 0.142
Evaluation on test setSummary ===
correlation coefficientMean absolute errorRoot mean squared errorRelative absolute errorRoot relative squared errorTotal Number of Instances
=== Run information ===
0.74720.08850.1064
62.3418 %69.533 %20
scheme:
Relation:Instances:Attributes:
Test mode:
weka.classifiers.functions.SVMreg -c 50.0 -N 0 -I"weka.classifiers.functions.supportvector.RegsMoImproved -L0.0010 -w 1 -P 1.0E-12 -T 0.0010 -v" -K"weka.classifiers.functions.supportvector.RBFKernel -c 50 -G1.0"uth_train485xlx2x3x4yuser supplied test set: 20 instances
=== classifier model (full training set) ===
SVMreg
support vectors:-50.0 * k[O]+50.0 * k[l]-50.0 * k[2]-50.0 * k[3]-24.43273240124022 * k[4]-9.17486580253727 * k[5]+50.0 * k[6]+50.0 * k[7]+50.0 * k[8]-50.0 * k[9]+14.24950770755425 * k[10]+50.0 * k[12]+37.15791822316835 * k[13]-42.21607519559065 * k[14]+50.0 * k[15]
176
+50.0 * k[16]-50.0 * k[17]+1.1998849104045402 * k[18]+10.809179561489902 * k[19]-3.8764671495335588 * k[20]+50.0 * k[21]-36.18088575581 * k[22]-10.035307970947914 * k[23]-50.0 * k[24]-19.7526170105338 * k[25]-28.490471744812268 * k[26]+50.0 ,~ k[D]+50.0 * k[28]-50.0 -I: k[29]+50.0 -I: k[30]- 50. 0 * k[31]+2.608301536841294 * k[32]+29.54335574150932 * k[33]+50.0 * k[34]-24.956048554309984 * k[35]+50.0 * k[36]-44.92236154796964 * k[37]-50.0 * k[38]-50.0 * k[39]-50.0 * k[40]+50.0 * k[41]+50.0 * k[42]+8.05642969211064 * k[43]-9.586744239793264 * k[44]+50.0 * k[45]-50.0 * k[46]-50.0 * k[47]+ 0.6248
Number of kernel evaluations: 190908 (63.031% cached)
Time taken to build model: 0.09 seconds
=== predictions on test set ===inst#, actual, predicted, error
1 1 0.932 -0.0682 0.927 0.902 -0.0253 0.964 0.903 -0.0614 0.69 0.671 -0.0195 1.021 0.886 -0.1356 1. 054 1. 097 0.0437 1.069 1.058 -0.0118 1.05 0.975 -0.0759 1.058 1. 033 -0.024
10 1.056 1.122 0.06511 1.01 1.006 -0.00412 0.699 0.729 0.0313 0.761 0.831 0.0714 0.731 0.788 0.05715 0.768 0.811 0.04416 0.831 0.884 0.05317 0.965 0.898 -0.06618 0.656 0.41 -0.24719 1.1 1.003 -0.09720 0.688 0.683 -0.005
=== Evaluation on test set ====== summary ====Correlation coefficientMean absolute errorRoot mean squared errorRelative absolute errorRoot relative squared errorTotal Number of Instances
177
0.88690.060.0802
42.3023 %52.4284 %20
::::= Run i nformati on ======
scheme:
Relation:Instances:Attr; butes :
Test mode:
weka.classifiers.functions.SVMreg -c 50.0 -N 0 -I"weka.classifiers.functions.supportvector.RegsMo1mproved -L0.0010 -w 1 -P 1.0E-12 -T 0.0010 -v" -K"weka.classifiers.functions.supportvector.RBFKernel -c 50 -G1.0"uth_train485xlx2x3x4yevaluate on training data
=== classifier model (full training set) --
SVMreg
support vectors:-50.0 * k[O]+50.0 * k[l]-50.0 * k[2]-50.0 * k[3]-24.43273240124022 * k[4]-9.17486580253727 * k[5]+50.0 * k[6]+50.0 * k[7]+50.0 * k[8]-50.0 * k[9]+14.24950770755425 * k[10]+50.0 * k[12]+37.15791822316835 * k[13]-42.21607519559065 * k[14]+50.0 * k[15]+50.0 * k[16]-50.0 * k[17]+1.1998849104045402 * k[18]+10.809179561489902 * k[19]-3.8764671495335588 * k[20]+50.0 * k[21]-36.18088575581 * k[22]-10.035307970947914 * k[23]-50.0 * k[24]-19.7526170105338 * k[25]-28.490471744812268 * k[26]+50.0 * k[27]+50.0 * k[28]-50.0 * k[29]+50.0 * k[30]-50.0 * k[31]+2.608301536841294 * k[32]+29.54335574150932 * k[33]+50.0 * k[34]-24.956048554309984 * k[35]+50.0 * k[36]-44.92236154796964 * k[37]-50.0 * k[38]-50.0 * k[39]-50.0 * k[40]+50.0 * k[41]+50.0 * k[42]+8.05642969211064 * k[43]
178
-9.586744239793264 ~< k[44]+50.0 * k[45]-50.0 * k[46]-50.0 ~< k[47]+ 0.6248
Number of kernel evaluations: 190908 (63.031% cached)
Time taken to build model: 0.11 seconds
=== Predictions on training set ===inst#,
123456789
101112131415161718192021222324252627282930313233343536373839404142434445464748
actual,0.8680.8010.7080.7840.9351.1180.691.0410.7640.6591.0030.9220.8890.8960.6820.9521.0680.9351.1271.0460.8640.9271.0391.0420.7580.7360.8930.8291.0151.0210.9970.7751.1490.7191.0821.0561.081.0220.70.6470.6540.9561. 0881.0420.9450.8150.8430.742
predicted,0.9310.6580.8470.8210.9361.1190.6840.9570.7510.7741.0020.9220.8060.8960.6830.8691.0460.9361.1271.0450.8640.8261.041.0420.8680.7360.8940.8240.9721.0230.9620.8881.1480.7180.9891.0560.9981.0220.7920.6560.7050.8721. 0461. 0410.9460.8070.90.835
error0.064
-0.1430.1390.0370.0010.001
-0.006-0.084-0.0130.115
-0.001-0.001-0.083-0.0010.001
-0.083-0.0230.001o
-0.001o
-0.10.001o0.11o0.001
-0.005-0.0430.002
-0.0340.113oo
-0.093o
-0.082o0.0910.0090.051
-0.084-0.042o0.001
-0.0080.0570.094
=== Evaluation on training set ====== Summary ===correlation coefficientMean absolute errorRoot mean squared errorRelative absolute errorRoot relative squared errorTotal Number of Instances
179
0.91620.03790.0587
29.8904 %40.2433 %48
=:::: Run i nformati on ===
Scheme:
Relati on:Instances:Attri butes :
Test mode:
weka.classifiers.functions.SvMreg -C 50.0 -N 0 -I"weka.classifiers.functions.supportvector.RegSMOImproved -L0.0010 -w 1 -p 1.0E-12 -T 0.0010 -v" -K"weka.classifiers.functions.supportvector.RBFKernel -C 50 -G2.0"
uth_train485xlx2x3x4yevaluate on training data
:::== Classifier model (full training set)
sVMreg
support vectors:-50.0 * k[O]+50.0 * k[l]-50.0 * k[2]-50.0 * k[3]-2.8405314609818975 * k[4]-0.5666030212208605 * k[5]+16.150873346770396 * k[6]+42.25778342250524 * k[7]+50.0 * k[8]-50.0 * k[9]+1.7995581042526412 * k[10]+29.16266932832355 * k[11]+50.0 * k[12]+50.0 * k[13]-13.398241393861227 * k[14]+50.0 * k[15]+40.34835148669473 * k[16]-50.0 * k[17] .+0.8445996980690933 * k[18]+7.208041226894296 * k[19]]-5.27738574057603 * k[20+50.0 * k[21]-50.0 * k[22]-17.151680848806482 * k[23]-50.0 * k[24]+50.0 * k[25]-21.323928268045822 * k[26]+8.020710451941666 * k[27]+0.3373695854247397 * k[28]-38.698189745277574 * k[29]+46.32000892464536 * k[30]-50.0 * k[31]+0.09238179388371164 *[k
33[]32]
+9.213728343066316 * k+50.0 * k[34]-24.60924777463711 * k[35]+50.0 * k[36]-20.057303711325783 * k[37]-50.0 * k[38]-50.0 * k[39]-50.0 * k[40]+50.0 * k[41]+36.462067886008725 * k[42]+16.060025889813865 * k[43]-10.355057523561516 * k[44]+50.0 * k[45]-50.0 * k[46]-50.0 'I, k[47]
180
+ 0.6178
Number of kernel evaluations: 275571 (49.606% cached)
~me taken to build model: 0.13 seconds
=== Predi cti ons on training set ---inst#, actual, predicted, error
1 0.868 0.917 0.0492 0.801 0.663 -0.1383 0.708 0.853 0.1454 0.784 0.793 0.0085 0.935 0.935 0.0016 1.118 1.119 07 0.69 0.689 -0.0018 1.041 1.04 -0.0019 0.764 0.75 -0.01410 0.659 0.758 0.09911 1. 003 1.002 012 0.922 0.921 -0.00113 0.889 0.786 -0.10214 0.896 0.861 -0.03515 0.682 0.683 0.00116 0.952 0.863 -0.08917 1.068 1.067 -0.00118 0.935 0.946 0.01219 1.127 1.127 020 1.046 1. 045 -0.00121 0.864 0.865 0.00122 0.927 0.812 -0.11423 1. 039 1.053 0.01424 1.042 1.042 025 0.758 0.863 0.10526 0.736 0.725 -0.01127 0.893 0.893 028 0.829 0.829 029 1.015 1.015 030 1.021 1.022 0.00131 0.997 0.996 -0.00132 0.775 0.878 0.10333 1.149 1.149 034 0.719 0.719 035 1.082 1.014 -0.06836 1.056 1.057 0.00137 1.08 1.015 -0.06538 1.022 1.023 0.00139 0.7 0.78 0.07940 0.647 0.655 0.00841 0.654 0.706 0.05242 0.956 0.872 -0.08443 1.088 1.088 044 1.042 1.041 -0.00145 0.945 0.946 0.00146 0.815 0.802 -0.01347 0.843 0.902 0.05948 0.742 0.807 0.065
=== Evaluation on training set ========= Summary ======
Correlation coefficient 0.92880.0322Mean absolute error0.0541Root mean squared error
25.4111 %Relative absolute error37.0636 %Root relative squared error48Total Number of Instances
181
17181920
0.9650.6561.10.688
0.8850.3720.8040.686
-0.08-0.284-0.296-0.002
=== Eva1uati on on test set=== summary ===
correlation coefficientMean absolute error~ot mean squared errorRelative absolute errorRoot rel ati ve squared errorTotal Number of Instances
=== Run i nformati on ===
0.7810.08040.117
56.6688 %76.4719 %20
scheme:
Relation:Instances:Attri butes:
Test mode:
weka.classifiers.functions.SVMreg -C 100.0 -N 0 -I"weka.classifiers.functions.supportVector.RegsMo1mproved -L0.0010 -w 1 -P 1.0E-12 -T 0.0010 -v" -K"weka.classifiers.functions.supportvector.polyKernel -C 80 -E1.0"uth_train485xlx2x3x4yuser supplied test set: 20 instances
=== Classifier model (full training set)
sVMreg
weights (not support vectors):0.518 * (normalized) xl
+ 0.0228 * (normalized) x2+ 1.6684 * (normalized) x3+ 0.3379 * (normalized) x4+ 0.1975
Number of kernel evaluations: 58297 (58.278% cached)
Time taken to build model: 0.03 seconds
=== Predictions on test set ===inst#,
123456789
1011121314
actual,10.9270.9640.691.0211.0541.0691. 05 .1.0581.0561.010.6990.7610.731
predicted,0.8880.8870.8570.8010.8851.0680.9810.9831.2121.0890.9910.8110.8040.808
error-0.112-0.04-0.1070.111
-0.1360.015
-0.088-0.0660.1550.033
-0.020.1120.0430.078
182
15 0.768 0.824 0.05616 0.831 0.87 0.03917 0.965 0.888 -0.07618 0.656 0.742 0.08619 1.1 1.31 0.21120 0.688 0.783 0.095
=== Evaluation on test set=== Summary ===correlation coefficientMean absolute errorRoot mean squared errorRelative absolute errorRoot relative squared errorTotal Number of Instances
=== Run information ===
0.8010.08390.0964
59.0905 %62.9972 %20
Scheme:
Relation:Instances:Attributes:
Test mode:
weka.classifiers.functions.SVMreg -c 100.0 -N 0 -I"we ka.classifiers.functions.supportVector.RegsMOImproved -L0.0010 -w 1 -P 1.0E-12 -T 0.0010 -v" -K"weka.classifiers.functions.supportvector.RBFKernel -c 100 -G2.0"uth_train485xlx2x3x4yevaluate on training data
=== classifier model (full training set)
SVMreg
Support vectors:-100.0 * k[O]+100 . 0 * k[1]-100.0 * k[2]-91.21710273997503 * k[3]+32.14562958443941 * k[4]+8.620276087922814 * k[5]-19.10343703542555 * k[6]+58.2366071804668 * k[7]+100.0 * k[8]-100.0 * k[9]-0.4729136216663974 * k[10]+26.448109370774155 * k[11]+100.0 * k[12]+100.0 * k[13]+13.453504309544298 * k[14]+100.0 * k[15]+68.1185813814273 * k[16]-35.053347205490105 * k[17]+1.2506783114706443 * k[18]+7.438557255949097 * k[19]-9.26428874984027 * k[20]+100.0 * k[21]-100.0 * k[22]-21.4954571640254 * k[23]-100.0 i, k[24]+100.0 * k[25]-22.58434918929922 * k[26]+23.662134540205383 * k[27]-17.480753357339847 * k[28]-33.88415668170604 * k[29]+38.21801105884325 * k[30]-100.0 * k[31]
183
-0.05841967276076776 * k[32]+23.005057745492806 * k[33]+100.0 ~( k[34]-54.552566750648424 * k[35]+100. 0 ~( k[36]-34.17282656141672 * k[37]-100. 0 ~( k[38]-98.0334704757984 * k[39]-100 . 0 ~( k[40]+100.0 ~( k[41]+43.909874279119734 * k[42]+21.31282744064489 * k[43]-28.446759340908454 * k[44]+100. 0 ~( k[45]-100.0 ~( k[46]-100.0 * k[47]+ 0.6374
Number of kernel evaluations: 240164 (85.119% cached~
Time taken to build model: 0.22 seconds
=== predictions on training set ===inst#,
123456789
101112131415161718192021222324252627282930313233343536373839404142434445
actual,0.8680.8010.7080.7840.9351.1180.691.0410.7640.6591.0030.9220.8890.8960.6820.9521.0680.9351.1271.0460.8640.9271.0391.0420.7580.7360.8930.8291.0151.0210.9970.7751.1490.7191.0821.0561.081.0220.70.6470.6540.9561.0881.0420.945
predicted,0.9040.6610.8550.7840.9351.1180.6911.040.7470.7551. 0030.9210.7840.850.6820.8581.0680.9361.1271.0450.8640.8021.0541.0430.8590.7090.8940.8291.0151.0220.9960.8731.150.7191.0281.0561. 0411.0220.7640.6470.7040.8711.0871.0410.945
error0.037
-0.140.147oooo
-0.001-0.0170.096o
-0.001-0.104-0.047o
-0.094o0.001o
-0.0010.001
-0.1240.0150.0010.1
-0.0270.001
-0.001oo
-0.0010.0990.001o
-0.053o
-0.039o0.064o0.05
-0.085-0.001oo
184
464748
0.8150.8430.742
0.7990.8960.782
-0.0160.0530.04
=== Evaluation on training set=== summary ===correlation coefficientMean absolute errorRoot mean squared errorRelative absolute errorRoot relative squared errorTotal Number of Instances
=== Run information ===
0.93270.03040.0526
23.9728 %36.0945 %48
scheme:
Relation:Instances:Attributes:
Test mode:
weka.classifiers.functions.SVMreg -c 100.0 -N 0 -I"weka.classifiers.functions.supportvector.RegsMoImproved -L0.0010 -w 1 -P 1. OE-12 -T 0.0010 -v" -K"weka.classifiers.functions.supportvector.RBFKernel -c 100 -G2.0"uth_train485xlx2x3x4yuser supplied test set: 20 instances
=== classifier model (full training set) ===SVMreg
support vectors:-100.0 * k[O]+100 .0 * k[1]-100.0 * k[2]-91.21710273997503 * k[3]+32.14562958443941 * k[4]+8.620276087922814 * k[5]-19.10343703542555 * k[6]+58.2366071804668 * k[7]+100.0 * k[8]-100.0 * k[9]-0.4729136216663974 * k[10]+26.448109370774155 * k[ll]+100.0 * k[12]+100.0 * k[13]+13.453504309544298 * k[14]+100.0 * k[15]+68.1185813814273 * k[16]-35.053347205490105 * k[17]+1.2506783114706443 * k[18]+7.438557255949097 * k[19]-9.26428874984027 * k[20]+100.0 * k[21]-100.0 'I: k[22]-21.4954571640254 * k[23]-100.0 * k[24]+100.0 * k[25]-22.58434918929922 * k[26]+23.662134540205383 * k[27]-17.480753357339847 * k[28]-33.88415668170604 * k[29]+38.21801105884325 * k[30]-100.0 'I: k[31]
185
-0.05841967276076776 * k[32]+23.005057745492806 * k[33]+100 . 0 ~, k[34]-54.552566750648424 * k[35]+100 . 0 * k[36]-34.17282656141672 * k[37]-100 . 0 ~, k[38]-98.0334704757984 * k[39]-100 . 0 ~, k[40]+100.0 ~, k[41]+43.909874279119734 * k[42]+21.31282744064489 * k[43]-28.446759340908454 * k[44]+100 . 0 ~, k[45 ]-100.0 * k[46]-100.0 * k[47]+ 0.6374
Number of kernel evaluations: 240164 (85.119% cached)
Time taken to build model: 0.22 seconds
=== predictions on test set ===inst#, actual, predicted, error
1 1 0.95 -0.052 0.927 0.874 -0.0533 0.964 0.879 -0.0854 0.69 0.66 -0.0295 1.021 0.898 -0.1236 1.054 1. 091 0.0377 1.069 1.127 0.0588 1.05 1.041 -0.0099 1.058 0.638 -0.42
10 1.056 1.07 0.01411 1.01 0.996 -0.01412 0.699 0.719 0.0213 0.761 0.794 0.03314 0.731 0.784 0.05315 0.768 0.796 0.02816 0.831 0.884 0.05317 0.965 0.869 -0.09618 0.656 0.347 -0.3119 1.1 0.625 -0.47520 0.688 0.683 -0.005
Evaluation on test setsummary ===
correlation coefficientMean absolute errorRoot mean squared errorRelative absolute errorRoot relative squared errorTotal Number of Instances
=== Run information ===
0.62050.09830.1656
69.2316 %108.2147 %
20
scheme:
Relation:Instances:Attributes:
weka.classifiers.functions.SVMreg -c 5.0 -N 0 -I"weka.classifiers.functions.supportvector.RegsMoImproved -L0.0010 -w 1 -P 1.0E-12 -T 0.0010 -v" -K"weka.classifiers.functions.supportvector.polyKernel -c 5 -E2.0"
uth_train485
186
Test mode:
xlx2x3x4yevaluate on training data
=== classifier model (full training set)
SVMreg
Support vectors:-5.0 * k[O]-5.0 * k[l]-5.0 * k[2]+5.0 * k[3]+5.0 * k[4]+5.0 * k[5]-5.0 * k[6]+5.0 * k[7]-5.0 * k[8]-5.0 * k[9]+5.0 * k[10]+2.633524558135476 * k[ll]+5.0 * k[12]+5.0 * k[l3]-5.0 * k[14]+5.0 * k[15]+5.0 * k[16]-1.0165578493039158 * k[18]-5.0 * k[19]-5.0 * k[20]+5.0 * k[21]+5.0 * k[22]+5.0 * k[23]-5.0 * k[24]-5.0 * k[25]+5.0 * k[26]-5.0 * k[27]+5.0 * k[28]+2.165285161086492 * k[29]+5.0 * k[30]-5.0 * k[31]-5.0 * k[32]-5.0 * k[33]+5.0 * k[34]-5.0 * k[35]+5.0 * k[36]+5.0 * k[37]-5.0 * k[38]-5.0 * k[39]-5.0 * k[40]+5.0 * k[41]+5.0 * k[42]-5.0 * k[43]+5.0 * k[44]+1.2177481300819453 * k[45]-5.0 * k[46]-5.0 * k[47]
+ 0.4737
Number of kernel evaluations: 18942 (18.035% cached)
Time taken to build model: 0 seconds
~== predictions on training set ===
inst#,12
actual, predicted, error0.868 0.869 0.0010.801 0.835 0.035
187
3 0.708 0.832 0.1244 0.784 0.763 -0.0215 0.935 0.88 -0.0556 1.118 1.044 -0.0747 0.69 0.788 0.0988 1.041 0.92 -0.1219 0.764 0.825 0.061
10 0.659 0.775 0.11611 1.003 0.969 -0.03412 0.922 0.922 -0.00113 0.889 0.776 -0.11214 0.896 0.796 -0.115 0.682 0.782 0.116 0.952 0.87 -0.08217 1.068 1. 023 -0.04618 0.935 0.935 0.00119 1.127 1.128 020 1.046 1.151 0.10521 0.864 0.931 0.06722 0.927 0.881 -0.04623 1. 039 1.026 -0.01424 1.042 0.908 -0.13425 0.758 0.856 0.09726 0.736 0.876 0.1427 0.893 0.877 -0.01628 0.829 0.833 0.00429 1.015 0.944 -0.07130 1.021 1.02 -0.00131 0.997 0.9 -0.09732 0.775 0.854 0.0833 1.149 1. 269 0.12134 0.719 0.853 0.13435 1.082 0.949 -0.13236 1.056 1.065 0.0137 1.08 1.029 -0.05138 1.022 1.018 -0.00439 0.7 0.884 0.18440 0.647 0.846 0.19941 0.654 0.829 0.17542 0.956 0.844 -0.11243 1.088 0.891 -0.19744 1.042 1.085 0.04345 0.945 0.866 ,.0.07946 0.815 0.814 -0.00147 0.843 0.892 0.04948 0.742 0.909 0.167
--- Evaluation on training set ===--- Summary ===
correlation coefficient 0.7568Mean absolute error 0.0773Root mean squared error 0.096Relative absolute error 60.9804 %Root relative squared error 65.8135 %Total Number of Instances 48
:=== Run information ===
scheme:
Relation:Instances:Attributes:
weka.classifiers.functions.SMOreg -c 50.0 -N 0 -I"weka.classifiers.functions.supportvector.RegsMOlmproved -L0.0010 -w 1 -P 1.0E-12 -T 0.0010 -V" -K"weka.classifiers.functions.supportvector.RBFKernel -c 50 -G1.0"uth_train485xlx2x3x4
188
Test mode:yevaluate on training data
=== Classifier model (full training set)
SMOreg
support vectors:-50.0 * k[O]+50.0 * k[1]-50.0 * k[2]-50.0 * k[3]-24.43273240124022 * k[4]-9.17486580253727 * k[5]+50.0 * k[6]+50.0 * k[7]+50.0 ;: k[8]-50.0 * k[9]+14.24950770755425 * k[10]+50.0 * k[12]+37.15791822316835 * k[13]-42.21607519559065 * k[14]+50.0 * k[15]+50.0 * k[l6]-50.0 ;: k[17]+1.1998849104045402 * k[18]+10.809179561489902 * k[19]-3.8764671495335588 * k[20]+50.0 * k[21]-36.18088575581 * k[22]-10.035307970947914 * k[23]":50.0 * k[24]-19.7526170105338 * k[25]-28.490471744812268 * k[26]+50.0 * k[27]+50.0 * k[28]-50.0 * k[29]+50.0 * k[30]-50.0 ;: k[31]+2.608301536841294 * k[32]+29.54335574150932 * k[33]+50.0 * k[34]-24.956048554309984 * k[35]+50.0 * k[36]-44.92236154796964 * k[37]-50.0 * k[38]-50.0 * k[39]-50.0 * k[40]+50.0 * k[41]+50.0 * k[42]+8.05642969211064 * k[43]-9.586744239793264 * k[44]+50.0 ;: k[45]-50.0 J. k[46]-50.0 * k[47]+ 0.6248
Number of kernel evaluations: 190908 (63.031% cached)
Time taken to build model: 0.11 seconds
=== Predictions on training set ===
inst# actual predicted error1 0.868 0.931 0.0642 0.801 0.658 -0.1433 0.708 0.847 0.1394 0.784 0.821 0.0375 0.935 0.936 0.0016 1.118 1.119 0.0017 0.69 0.684 -0.006
189
8 1.041 0.957 -0.0849 0.764 0.751 -0.013
10 0.659 0.774 0.11511 1.003 1. 002 -0.00112 0.922 0.922 -0.00113 0.889 0.806 -0.08314 0.896 0.896 -0.00115 0.682 0.683 0.00116 0.952 0.869 -0.08317 1.068 1.046 -0.02318 0.935 0.936 0.00119 1.127 1.127 020 1.046 1.045 -0.00121 0.864 0.864 022 0.927 0.826 -0.123 1.039 1. 04 0.00124 1.042 1.042 025 0.758 0.868 0.1126 0.736 0.736 027 0.893 0.894 0.00128 0.829 0.824 -0.00529 1.015 0.972 -0.04330 1.021 1. 023 0.00231 0.997 0.962 -0.03432 0.775 0.888 0.11333 1.149 1.148 034 0.719 0.718 035 1.082 0.989 -0.09336 1.056 1.056 037 1.08 0.998 -0.08238 1.022 1.022 039 0.7 0.792 0.09140 0.647 0.656 0.00941 0.654 0.705 0.05142 0.956 0.872 -0.08443 1. 088 1. 046 -0.04244 1.042 1.041 045 0.945 0.946 0.00146 0.815 0.807 -0.00847 0.843 0.9 0.05748 0.742 0.835 0.094
--- Evaluation on training set ===--- summary ===correlation coefficient 0.9162Mean absolute error 0.0379Root mean squared error 0.0587Relative absolute error 29.8904 %Root relative squared error 40.2433 %Total Number of Instances 48
=== Run information ===scheme:
Relation:Instances:Attributes:
weka.classifiers.functions.SVMreg -c 50.0 -N 0 -I"weka.classifiers.functions.supportVector.RegsMo1mproved -L0.0010 -w 1 -P 1.0E-12 -T 0.0010 -v" -K"weka.classifiers.functions.supportvector.RBFKernel -c 50 -G1.0"uth_train485xlx2x3
190
Test mode:
x4yuser supplied test set: 20 instances
=== classifier model (full training set) ===SVMreg
support vectors:-50.0 * k[O]+50.0 1< k[1]-50.0 * k[2]-50.0 * k[3]-24.43273240124022 * k[4]-9.17486580253727 * k[5]+50.0 1< k[6]+50.0 * k[7]+50.0 1< k[8]-50.0 * k[9]+14.24950770755425 * k[10]+50.0 * k[12]+37.15791822316835 * k[13]-42.21607519559065 * k[14]+50.0 * k[15]+50.0 * k[16]-50.0 * k[17]+1.1998849104045402 * k[18]+10.809179561489902 * k[19]-3.8764671495335588 * k[20]+50.0 1< k[21]-36.18088575581 * k[22]-10.035307970947914 * k[23]-50.0 * k[24]-19.7526170105338 * k[25]-28.490471744812268 * k[26]+50.0 * k[27]+50.0 1< k[28]-50.0 * k[29]+50.0 1< k[30]-50.0 * k[31]+2.608301536841294 * k[32]+29.54335574150932 * k[33]+50.0 * k[34]-24.956048554309984 * k[35]+50.0 * k[36]-44.92236154796964 * k[37]-50.0 * k[38]-50.0 * k[39]-50.0 * k[40]+50.0 * k[41]+50.0 1< k[42]+8.05642969211064 * k[43]-9.586744239793264 * k[44]+50.0 * k[45]-50.0 * k[46]-50.0 * k[47]+ 0.6248
Number of kernel evaluations: 190908 (63.031% cached)
Time taken to build model: 0.08 seconds
=== Predictions on test set ===inst#,
12345
actual,10.9270.9640.691.021
predicted,0.9320.9020.9030.6710.886
error-0.068-0.025-0.061-0.019-0.135
191
6789
1011121314151617181920
1.0541. 0691.051.0581. 0561.010.6990.7610.7310.7680.8310.9650.6561.10.688
1.0971. 0580.9751.0331.1221.0060.7290.8310.7880.8110.8840.8980.411. 0030.683
0.043-0.011-0.075-0.0240.065
-0.0040.030.070.0570.0440.053
-0.066-0.247-0.097-0.005
--- Evaluation on test set ====== summary ===Correlation coefficientMean absolute errorRoot mean squared errorRelative absolute errorRoot relative squared errorTotal Number of Instances
*
0.88690.060.0802
42.3023 %52.4284 %20
192