Model.predict

In [ ]:
Model.predict(vdf: (str, vDataFrame),
              X: list = [],
              name: str = "",
              cutoff: float = -1,
              inplace: bool = True)

Predicts using the input relation.

Parameters

Name Type Optional Description
vdf
str / vDataFrame
❌
Object to use to run the prediction. It can also be a customized relation but you need to englobe it using an alias. For example "(SELECT 1) x" is correct whereas "(SELECT 1)" or "SELECT 1" are incorrect.
X
list
✓
List of the columns used to deploy the models. If empty, the model predictors will be used.
name
str
✓
Name of the added vcolumn. If empty, a name will be generated.
cutoff
float
✓
Cutoff for which the tested category will be accepted as prediction. If the parameter is not between 0 and 1, the class probability will be returned.
inplace
bool
✓
If set to True, the prediction will be added to the vDataFrame.

Returns

vDataFrame : the input object.

Example

In [18]:
from verticapy import vDataFrame
titanic = vDataFrame("public.titanic")
display(titanic)
123
pclass
Int
123
survived
Int
Abc
Varchar(96)
Abc
gender
Char(1)
123
age
Numeric(6,3)
123
sibsp
Int
123
parch
Int
Abc
ticket
Varchar(24)
123
fare
Numeric(7,4)
Abc
cabin
Char(10)
Abc
embarked
Char(1)
Abc
boat
Char(4)
123
body
Int
Abc
homedest
Varchar(64)
123
split
Float
110f2.00012113781151.5500C22 C26 S[null][null]Montreal, PQ / Chesterville, ON0.995730201946571
210m30.00012113781151.5500C22 C26 S[null]135Montreal, PQ / Chesterville, ON0.696762941079214
310f25.00012113781151.5500C22 C26 S[null][null]Montreal, PQ / Chesterville, ON0.274021208519116
410m39.000001120500.0000A36 S[null][null]Belfast, NI0.768661092966795
510m71.00000PC 1760949.5042[null]C[null]22Montevideo, Uruguay0.998196103842929
610m47.00010PC 17757227.5250C62 C64 C[null]124New York, NY0.700191388139501
710m[null]00PC 1731825.9250[null]S[null][null]New York, NY0.903995880624279
810m24.00001PC 17558247.5208B58 B60 C[null][null]Montreal, PQ0.531408075941727
910m36.000001305075.2417C6 CA [null]Winnipeg, MN0.771818293724209
1010m25.000001390526.0000[null]C[null]148San Francisco, CA0.131147459615022
1110m45.0000011378435.5000T S[null][null]Trenton, NJ0.0164068492595106
1210m42.0000011048926.5500D22 S[null][null]London / Winnipeg, MB0.357460318133235
1310m41.0000011305430.5000A21 S[null][null]Pomeroy, WA0.458039464429021
1410m48.00000PC 1759150.4958B10 C[null]208Omaha, NE0.0305208195932209
1510m[null]0011237939.6000[null]C[null][null]Philadelphia, PA0.107485653366894
1610m45.0000011305026.5500B38 S[null][null]Washington, DC0.222002647817135
1710m[null]0011379831.0000[null]S[null][null][null]0.407268576091155
1810m33.000006955.0000B51 B53 B5S[null][null]New York, NY0.702459823340178
1910m28.0000011305947.1000[null]S[null][null]Montevideo, Uruguay0.352015114622191
2010m17.0000011305947.1000[null]S[null][null]Montevideo, Uruguay0.314937012502924
2110m49.000001992426.0000[null]S[null][null]Ascot, Berkshire / Rochester, NY0.468877228209749
2210m36.000101987778.8500C46 S[null]172Little Onn Hall, Staffs0.846586269559339
2310m46.00010W.E.P. 573461.1750E31 S[null][null]Amenia, ND0.552960743429139
2410m[null]001120510.0000[null]S[null][null]Liverpool, England / Belfast0.135924997972324
2510m27.0001013508136.7792C89 C[null][null]Los Angeles, CA0.347183340694755
2610m[null]0011046552.0000A14 S[null][null]Stoughton, MA0.897461618995294
2710m47.00000572725.5875E58 S[null][null]Victoria, BC0.747530879452825
2810m37.00011PC 1775683.1583E52 C[null][null]Lakewood, NJ0.00899025378748775
2910m[null]0011379126.5500[null]S[null][null]Roachdale, IN0.955598407890648
3010m70.00011WE/P 573571.0000B22 S[null]269Milwaukee, WI0.394530113320798
3110m39.00010PC 1759971.2833C85 C[null][null]New York, NY0.217934165848419
3210m31.00010F.C. 1275052.0000B71 S[null][null]Montreal, PQ0.611520540202036
3310m50.00010PC 17761106.4250C86 C[null]62Deephaven, MN / Cedar Rapids, IA0.356691426597536
3410m39.00000PC 1758029.7000A18 C[null]133Philadelphia, PA0.799341950332746
3510f36.00000PC 1753131.6792A29 C[null][null]New York, NY0.750660036457703
3610m[null]00PC 17483221.7792C95 S[null][null][null]0.64257450401783
3710m30.0000011305127.7500C111 C[null][null]New York, NY0.532136510591954
3810m19.0003219950263.0000C23 C25 C2S[null][null]Winnipeg, MB0.476265274919569
3910m64.0001419950263.0000C23 C25 C2S[null][null]Winnipeg, MB0.805391877423972
4010m[null]0011377826.5500D34 S[null][null]Westcliff-on-Sea, Essex0.238109899684787
4110m[null]001120580.0000B102 S[null][null][null]0.318446695804596
4210m37.0001011380353.1000C123 S[null][null]Scituate, MA0.337672139517963
4310m47.0000011132038.5000E63 S[null]275St Anne's-on-Sea, Lancashire0.838057525688782
4410m24.00000PC 1759379.2000B86 C[null][null][null]0.287828375818208
4510m71.00000PC 1775434.6542A5 C[null][null]New York, NY0.792202908080071
4610m38.00001PC 17582153.4625C91 S[null]147Winnipeg, MB0.927907792851329
4710m46.00000PC 1759379.2000B82 B84 C[null][null]New York, NY0.7507286996115
4810m[null]0011379642.4000[null]S[null][null][null]0.234622030286118
4910m45.000103697383.4750C83 S[null][null]New York, NY0.412912937579677
5010m40.000001120590.0000B94 S[null]110[null]0.945455664303154
5110m55.000111274993.5000B69 S[null]307Montreal, PQ0.882145681185648
5210m42.0000011303842.5000B11 S[null][null]London / Middlesex0.517818949418142
5310m[null]001746351.8625E46 S[null][null]Brighton, MA0.64663110091351
5410m55.0000068050.0000C39 S[null][null]London / Birmingham0.563400173094124
5510m42.0001011378952.0000[null]S[null]38New York, NY0.267875088611618
5610m[null]00PC 1760030.6958[null]C14 [null]New York, NY0.278338403673843
5710f50.00000PC 1759528.7125C49 C[null][null]Paris, France New York, NY0.712198593420908
5810m46.0000069426.0000[null]S[null]80Bennington, VT0.999820577679202
5910m50.0000011304426.0000E60 S[null][null]London0.161103162914515
6010m32.50000113503211.5000C132 C[null]45[null]0.984507398912683
6110m58.000001177129.7000B37 C[null]258Buffalo, NY0.335627530235797
6210m41.000101746451.8625D21 S[null][null]Southington / Noank, CT0.53834088309668
6310m[null]0011302826.5500C124 S[null][null]Portland, OR0.34698138688691
6410m[null]00PC 1761227.7208[null]C[null][null]Chicago, IL0.95128376968205
6510m29.0000011350130.0000D6 S[null]126Springfield, MA0.0958428524900228
6610m30.0000011380145.5000[null]S[null][null]London / New York, NY0.679039807058871
6710m30.0000011046926.0000C106 S[null][null]Brockton, MA0.737206660676748
6810m19.0001011377353.1000D30 S[null][null]New York, NY0.204028135398403
6910m46.000001305075.2417C6 C[null]292Vancouver, BC0.370184292318299
7010m54.000001746351.8625E46 S[null]175Dorchester, MA0.295548266731203
7110m28.00010PC 1760482.1708[null]C[null][null]New York, NY0.114248987985775
7210m65.000001350926.5500E38 S[null]249East Bridgewater, MA0.909870286937803
7310m44.000201992890.0000C78 Q[null]230Fond du Lac, WI0.130323216551915
7410m55.0000011378730.5000C30 S[null][null]Montreal, PQ0.887967769289389
7510m47.0000011379642.4000[null]S[null][null]Washington, DC0.625299557810649
7610m37.00001PC 1759629.7000C118 C[null][null]Brooklyn, NY0.524077241308987
7710m58.0000235273113.2750D48 C[null]122Lexington, MA0.272557913092896
7810m64.0000069326.0000[null]S[null]263Isle of Wight, England0.405848354566842
7910m65.0000111350961.9792B30 C[null]234Providence, RI0.802789740730077
8010m28.50000PC 1756227.7208D43 C[null]189?Havana, Cuba0.334971008822322
8110m[null]001120520.0000[null]S[null][null]Belfast0.322190738283098
8210m45.5000011304328.5000C124 S[null]166Surbiton Hill, Surrey0.203658094629645
8310m23.000001274993.5000B24 S[null][null]Montreal, PQ0.88644036068581
8410m29.0001011377666.6000C2 S[null][null]Isleworth, England0.0169057198800147
8510m18.00010PC 17758108.9000C65 C[null][null]Madrid, Spain0.335334193659946
8610m47.0000011046552.0000C110 S[null]207Worcester, MA0.236821516882628
8710m38.00000199720.0000[null]S[null][null]Rotterdam, Netherlands0.119916647905484
8810m22.00000PC 17760135.6333[null]C[null]232[null]0.145811202237383
8910m[null]00PC 17757227.5250[null]C[null][null][null]0.0339362397789955
9010m31.00000PC 1759050.4958A24 S[null][null]Trenton, NJ0.547127583762631
9110m[null]0011376750.0000A32 S[null][null]Seattle, WA0.951058926060796
9210m36.000001304940.1250A10 C[null][null]Winnipeg, MB0.801819929620251
9310m55.00010PC 1760359.4000[null]C[null][null]New York, NY0.454448250355199
9410m33.0000011379026.5500[null]S[null]109London0.901855311123654
9510m61.00013PC 17608262.3750B57 B59 B6C[null][null]Haverford, PA / Cooperstown, NY0.713036607019603
9610m50.000101350755.9000E44 S[null][null]Duluth, MN0.519629857270047
9710m56.0000011379226.5500[null]S[null][null]New York, NY0.191833083983511
9810m56.000001776430.6958A7 C[null][null]St James, Long Island, NY0.416469722287729
9910m24.000101369560.0000C31 S[null][null]Huntington, WV0.0707996338605881
10010m[null]0011305626.0000A19 S[null][null]Streatham, Surrey0.401673781685531
Rows: 1-100 of 1234 | Columns: 15
In [19]:
# Binary Classification
from verticapy.learn.linear_model import LogisticRegression
model = LogisticRegression("logit_titanic")
model.fit("public.titanic", 
          ["age", "fare"], 
          "survived")
# Probability
model.predict(titanic, 
              X = ["age", "fare"],
              name = "prediction_proba")
123
pclass
Int
123
survived
Int
Abc
Varchar(96)
Abc
gender
Char(1)
123
age
Numeric(6,3)
123
sibsp
Int
123
parch
Int
Abc
ticket
Varchar(24)
123
fare
Numeric(7,4)
Abc
cabin
Char(10)
Abc
embarked
Char(1)
Abc
boat
Char(4)
123
body
Int
Abc
homedest
Varchar(64)
123
split
Float
123
prediction_proba
Float
110f2.00012113781151.5500C22 C26 S[null][null]Montreal, PQ / Chesterville, ON0.9957302019465710.902287093955018
210m30.00012113781151.5500C22 C26 S[null]135Montreal, PQ / Chesterville, ON0.6967629410792140.860580339225997
310f25.00012113781151.5500C22 C26 S[null][null]Montreal, PQ / Chesterville, ON0.2740212085191160.868988361039809
410m39.000001120500.0000A36 S[null][null]Belfast, NI0.7686610929667950.342456861096143
510m71.00000PC 1760949.5042[null]C[null]22Montevideo, Uruguay0.9981961038429290.414029417624538
610m47.00010PC 17757227.5250C62 C64 C[null]124New York, NY0.7001913881395010.939923180247281
710m[null]00PC 1731825.9250[null]S[null][null]New York, NY0.903995880624279[null]
810m24.00001PC 17558247.5208B58 B60 C[null][null]Montreal, PQ0.5314080759417270.967395967987415
910m36.000001305075.2417C6 CA [null]Winnipeg, MN0.7718182937242090.635075716220126
1010m25.000001390526.0000[null]C[null]148San Francisco, CA0.1311474596150220.487751219756109
1110m45.0000011378435.5000T S[null][null]Trenton, NJ0.01640684925951060.45268401682983
1210m42.0000011048926.5500D22 S[null][null]London / Winnipeg, MB0.3574603181332350.429216842625225
1310m41.0000011305430.5000A21 S[null][null]Pomeroy, WA0.4580394644290210.447792562926084
1410m48.00000PC 1759150.4958B10 C[null]208Omaha, NE0.03052081959322090.499713369289623
1510m[null]0011237939.6000[null]C[null][null]Philadelphia, PA0.107485653366894[null]
1610m45.0000011305026.5500B38 S[null][null]Washington, DC0.2220026478171350.418678120562726
1710m[null]0011379831.0000[null]S[null][null][null]0.407268576091155[null]
1810m33.000006955.0000B51 B53 B5S[null][null]New York, NY0.7024598233401780.380187438266754
1910m28.0000011305947.1000[null]S[null][null]Montevideo, Uruguay0.3520151146221910.558247748355842
2010m17.0000011305947.1000[null]S[null][null]Montevideo, Uruguay0.3149370125029240.59683358559402
2110m49.000001992426.0000[null]S[null][null]Ascot, Berkshire / Rochester, NY0.4688772282097490.40269570450922
2210m36.000101987778.8500C46 S[null]172Little Onn Hall, Staffs0.8465862695593390.647904295062985
2310m46.00010W.E.P. 573461.1750E31 S[null][null]Amenia, ND0.5529607434291390.548033368992097
2410m[null]001120510.0000[null]S[null][null]Liverpool, England / Belfast0.135924997972324[null]
2510m27.0001013508136.7792C89 C[null][null]Los Angeles, CA0.3471833406947550.836841368048104
2610m[null]0011046552.0000A14 S[null][null]Stoughton, MA0.897461618995294[null]
2710m47.00000572725.5875E58 S[null][null]Victoria, BC0.7475308794528250.408093385463076
2810m37.00011PC 1775683.1583E52 C[null][null]Lakewood, NJ0.008990253787487750.659723620113947
2910m[null]0011379126.5500[null]S[null][null]Roachdale, IN0.955598407890648[null]
3010m70.00011WE/P 573571.0000B22 S[null]269Milwaukee, WI0.3945301133207980.499846330243495
3110m39.00010PC 1759971.2833C85 C[null][null]New York, NY0.2179341658484190.610568134710964
3210m31.00010F.C. 1275052.0000B71 S[null][null]Montreal, PQ0.6115205402020360.566271370083388
3310m50.00010PC 17761106.4250C86 C[null]62Deephaven, MN / Cedar Rapids, IA0.3566914265975360.69736239132171
3410m39.00000PC 1758029.7000A18 C[null]133Philadelphia, PA0.7993419503327460.451851682120462
3510f36.00000PC 1753131.6792A29 C[null][null]New York, NY0.7506600364577030.470176022074582
3610m[null]00PC 17483221.7792C95 S[null][null][null]0.64257450401783[null]
3710m30.0000011305127.7500C111 C[null][null]New York, NY0.5321365105919540.476548617099486
3810m19.0003219950263.0000C23 C25 C2S[null][null]Winnipeg, MB0.4762652749195690.975906180234669
3910m64.0001419950263.0000C23 C25 C2S[null][null]Winnipeg, MB0.8053918774239720.954958561645637
4010m[null]0011377826.5500D34 S[null][null]Westcliff-on-Sea, Essex0.238109899684787[null]
4110m[null]001120580.0000B102 S[null][null][null]0.318446695804596[null]
4210m37.0001011380353.1000C123 S[null][null]Scituate, MA0.3376721395179630.549178143505082
4310m47.0000011132038.5000E63 S[null]275St Anne's-on-Sea, Lancashire0.8380575256887820.457050875151761
4410m24.00000PC 1759379.2000B86 C[null][null][null]0.2878283758182080.687374090669011
4510m71.00000PC 1775434.6542A5 C[null][null]New York, NY0.7922029080800710.359641853265752
4610m38.00001PC 17582153.4625C91 S[null]147Winnipeg, MB0.9279077928513290.850000656266457
4710m46.00000PC 1759379.2000B82 B84 C[null][null]New York, NY0.75072869961150.615715266719299
4810m[null]0011379642.4000[null]S[null][null][null]0.234622030286118[null]
4910m45.000103697383.4750C83 S[null][null]New York, NY0.4129129375796770.634571406951772
5010m40.000001120590.0000B94 S[null]110[null]0.9454556643031540.339225019136842
5110m55.000111274993.5000B69 S[null]307Montreal, PQ0.8821456811856480.637150750290462
5210m42.0000011303842.5000B11 S[null][null]London / Middlesex0.5178189494181420.490387597739646
5310m[null]001746351.8625E46 S[null][null]Brighton, MA0.64663110091351[null]
5410m55.0000068050.0000C39 S[null][null]London / Birmingham0.5634001730941240.472650591374252
5510m42.0001011378952.0000[null]S[null]38New York, NY0.2678750886116180.5270782542596
5610m[null]00PC 1760030.6958[null]C14 [null]New York, NY0.278338403673843[null]
5710f50.00000PC 1759528.7125C49 C[null][null]Paris, France New York, NY0.7121985934209080.409340040706095
5810m46.0000069426.0000[null]S[null]80Bennington, VT0.9998205776792020.413118022171097
5910m50.0000011304426.0000E60 S[null][null]London0.1611031629145150.399240543697541
6010m32.50000113503211.5000C132 C[null]45[null]0.9845073989126830.937672886359139
6110m58.000001177129.7000B37 C[null]258Buffalo, NY0.3356275302357970.385443236804805
6210m41.000101746451.8625D21 S[null][null]Southington / Noank, CT0.538340883096680.530133019018482
6310m[null]0011302826.5500C124 S[null][null]Portland, OR0.34698138688691[null]
6410m[null]00PC 1761227.7208[null]C[null][null]Chicago, IL0.95128376968205[null]
6510m29.0000011350130.0000D6 S[null]126Springfield, MA0.09584285249002280.488825968193734
6610m30.0000011380145.5000[null]S[null][null]London / New York, NY0.6790398070588710.54501454283726
6710m30.0000011046926.0000C106 S[null][null]Brockton, MA0.7372066606767480.469804278926542
6810m19.0001011377353.1000D30 S[null][null]New York, NY0.2040281353984030.6121315642608
6910m46.000001305075.2417C6 C[null]292Vancouver, BC0.3701842923182990.601136818234549
7010m54.000001746351.8625E46 S[null]175Dorchester, MA0.2955482667312030.483424329568936
7110m28.00010PC 1760482.1708[null]C[null][null]New York, NY0.1142489879857750.684873698601698
7210m65.000001350926.5500E38 S[null]249East Bridgewater, MA0.9098702869378030.350713898416137
7310m44.000201992890.0000C78 Q[null]230Fond du Lac, WI0.1303232165519150.660863093173368
7410m55.0000011378730.5000C30 S[null][null]Montreal, PQ0.8879677692893890.398676199712231
7510m47.0000011379642.4000[null]S[null][null]Washington, DC0.6252995578106490.472047799209853
7610m37.00001PC 1759629.7000C118 C[null][null]Brooklyn, NY0.5240772413089870.458986889161578
7710m58.0000235273113.2750D48 C[null]122Lexington, MA0.2725579130928960.695422164643373
7810m64.0000069326.0000[null]S[null]263Isle of Wight, England0.4058483545668420.352054443373522
7910m65.0000111350961.9792B30 C[null]234Providence, RI0.8027897407300770.48296799283024
8010m28.50000PC 1756227.7208D43 C[null]189?Havana, Cuba0.3349710088223220.481820937620929
8110m[null]001120520.0000[null]S[null][null]Belfast0.322190738283098[null]
8210m45.5000011304328.5000C124 S[null]166Surbiton Hill, Surrey0.2036580946296450.424275313696333
8310m23.000001274993.5000B24 S[null][null]Montreal, PQ0.886440360685810.735622598294104
8410m29.0001011377666.6000C2 S[null][null]Isleworth, England0.01690571988001470.627415628143111
8510m18.00010PC 17758108.9000C65 C[null][null]Madrid, Spain0.3353341936599460.79139493017806
8610m47.0000011046552.0000C110 S[null]207Worcester, MA0.2368215168826280.509122481965186
8710m38.00000199720.0000[null]S[null][null]Rotterdam, Netherlands0.1199166479054840.3457033844739
8810m22.00000PC 17760135.6333[null]C[null]232[null]0.1458112022373830.844108486630076
8910m[null]00PC 17757227.5250[null]C[null][null][null]0.0339362397789955[null]
9010m31.00000PC 1759050.4958A24 S[null][null]Trenton, NJ0.5471275837626310.560551078274049
9110m[null]0011376750.0000A32 S[null][null]Seattle, WA0.951058926060796[null]
9210m36.000001304940.1250A10 C[null][null]Winnipeg, MB0.8018199296202510.50278432961466
9310m55.00010PC 1760359.4000[null]C[null][null]New York, NY0.4544482503551990.508954160263652
9410m33.0000011379026.5500[null]S[null]109London0.9018553111236540.461182789710717
9510m61.00013PC 17608262.3750B57 B59 B6C[null][null]Haverford, PA / Cooperstown, NY0.7130366070196030.956377405589915
9610m50.000101350755.9000E44 S[null][null]Duluth, MN0.5196298572700470.513405366648753
9710m56.0000011379226.5500[null]S[null][null]New York, NY0.1918330839835110.38073317046246
9810m56.000001776430.6958A7 C[null][null]St James, Long Island, NY0.4164697222877290.395956493572703
9910m24.000101369560.0000C31 S[null][null]Huntington, WV0.07079963386058810.620349613280365
10010m[null]0011305626.0000A19 S[null][null]Streatham, Surrey0.401673781685531[null]
Out[19]:
Rows: 1-100 of 1234 | Columns: 16
In [20]:
# Using a cutoff
model.predict(titanic, 
              X = ["age", "fare"],
              name = "prediction",
              cutoff = 0.5)
123
pclass
Int
123
survived
Int
Abc
Varchar(96)
Abc
gender
Char(1)
123
age
Numeric(6,3)
123
sibsp
Int
123
parch
Int
Abc
ticket
Varchar(24)
123
fare
Numeric(7,4)
Abc
cabin
Char(10)
Abc
embarked
Char(1)
Abc
boat
Char(4)
123
body
Int
Abc
homedest
Varchar(64)
123
split
Float
123
prediction_proba
Float
123
prediction
Integer
110f2.00012113781151.5500C22 C26 S[null][null]Montreal, PQ / Chesterville, ON0.9957302019465710.9022870939550181
210m30.00012113781151.5500C22 C26 S[null]135Montreal, PQ / Chesterville, ON0.6967629410792140.8605803392259971
310f25.00012113781151.5500C22 C26 S[null][null]Montreal, PQ / Chesterville, ON0.2740212085191160.8689883610398091
410m39.000001120500.0000A36 S[null][null]Belfast, NI0.7686610929667950.3424568610961430
510m71.00000PC 1760949.5042[null]C[null]22Montevideo, Uruguay0.9981961038429290.4140294176245380
610m47.00010PC 17757227.5250C62 C64 C[null]124New York, NY0.7001913881395010.9399231802472811
710m[null]00PC 1731825.9250[null]S[null][null]New York, NY0.903995880624279[null]0
810m24.00001PC 17558247.5208B58 B60 C[null][null]Montreal, PQ0.5314080759417270.9673959679874151
910m36.000001305075.2417C6 CA [null]Winnipeg, MN0.7718182937242090.6350757162201261
1010m25.000001390526.0000[null]C[null]148San Francisco, CA0.1311474596150220.4877512197561090
1110m45.0000011378435.5000T S[null][null]Trenton, NJ0.01640684925951060.452684016829830
1210m42.0000011048926.5500D22 S[null][null]London / Winnipeg, MB0.3574603181332350.4292168426252250
1310m41.0000011305430.5000A21 S[null][null]Pomeroy, WA0.4580394644290210.4477925629260840
1410m48.00000PC 1759150.4958B10 C[null]208Omaha, NE0.03052081959322090.4997133692896230
1510m[null]0011237939.6000[null]C[null][null]Philadelphia, PA0.107485653366894[null]0
1610m45.0000011305026.5500B38 S[null][null]Washington, DC0.2220026478171350.4186781205627260
1710m[null]0011379831.0000[null]S[null][null][null]0.407268576091155[null]0
1810m33.000006955.0000B51 B53 B5S[null][null]New York, NY0.7024598233401780.3801874382667540
1910m28.0000011305947.1000[null]S[null][null]Montevideo, Uruguay0.3520151146221910.5582477483558421
2010m17.0000011305947.1000[null]S[null][null]Montevideo, Uruguay0.3149370125029240.596833585594021
2110m49.000001992426.0000[null]S[null][null]Ascot, Berkshire / Rochester, NY0.4688772282097490.402695704509220
2210m36.000101987778.8500C46 S[null]172Little Onn Hall, Staffs0.8465862695593390.6479042950629851
2310m46.00010W.E.P. 573461.1750E31 S[null][null]Amenia, ND0.5529607434291390.5480333689920971
2410m[null]001120510.0000[null]S[null][null]Liverpool, England / Belfast0.135924997972324[null]0
2510m27.0001013508136.7792C89 C[null][null]Los Angeles, CA0.3471833406947550.8368413680481041
2610m[null]0011046552.0000A14 S[null][null]Stoughton, MA0.897461618995294[null]0
2710m47.00000572725.5875E58 S[null][null]Victoria, BC0.7475308794528250.4080933854630760
2810m37.00011PC 1775683.1583E52 C[null][null]Lakewood, NJ0.008990253787487750.6597236201139471
2910m[null]0011379126.5500[null]S[null][null]Roachdale, IN0.955598407890648[null]0
3010m70.00011WE/P 573571.0000B22 S[null]269Milwaukee, WI0.3945301133207980.4998463302434950
3110m39.00010PC 1759971.2833C85 C[null][null]New York, NY0.2179341658484190.6105681347109641
3210m31.00010F.C. 1275052.0000B71 S[null][null]Montreal, PQ0.6115205402020360.5662713700833881
3310m50.00010PC 17761106.4250C86 C[null]62Deephaven, MN / Cedar Rapids, IA0.3566914265975360.697362391321711
3410m39.00000PC 1758029.7000A18 C[null]133Philadelphia, PA0.7993419503327460.4518516821204620
3510f36.00000PC 1753131.6792A29 C[null][null]New York, NY0.7506600364577030.4701760220745820
3610m[null]00PC 17483221.7792C95 S[null][null][null]0.64257450401783[null]0
3710m30.0000011305127.7500C111 C[null][null]New York, NY0.5321365105919540.4765486170994860
3810m19.0003219950263.0000C23 C25 C2S[null][null]Winnipeg, MB0.4762652749195690.9759061802346691
3910m64.0001419950263.0000C23 C25 C2S[null][null]Winnipeg, MB0.8053918774239720.9549585616456371
4010m[null]0011377826.5500D34 S[null][null]Westcliff-on-Sea, Essex0.238109899684787[null]0
4110m[null]001120580.0000B102 S[null][null][null]0.318446695804596[null]0
4210m37.0001011380353.1000C123 S[null][null]Scituate, MA0.3376721395179630.5491781435050821
4310m47.0000011132038.5000E63 S[null]275St Anne's-on-Sea, Lancashire0.8380575256887820.4570508751517610
4410m24.00000PC 1759379.2000B86 C[null][null][null]0.2878283758182080.6873740906690111
4510m71.00000PC 1775434.6542A5 C[null][null]New York, NY0.7922029080800710.3596418532657520
4610m38.00001PC 17582153.4625C91 S[null]147Winnipeg, MB0.9279077928513290.8500006562664571
4710m46.00000PC 1759379.2000B82 B84 C[null][null]New York, NY0.75072869961150.6157152667192991
4810m[null]0011379642.4000[null]S[null][null][null]0.234622030286118[null]0
4910m45.000103697383.4750C83 S[null][null]New York, NY0.4129129375796770.6345714069517721
5010m40.000001120590.0000B94 S[null]110[null]0.9454556643031540.3392250191368420
5110m55.000111274993.5000B69 S[null]307Montreal, PQ0.8821456811856480.6371507502904621
5210m42.0000011303842.5000B11 S[null][null]London / Middlesex0.5178189494181420.4903875977396460
5310m[null]001746351.8625E46 S[null][null]Brighton, MA0.64663110091351[null]0
5410m55.0000068050.0000C39 S[null][null]London / Birmingham0.5634001730941240.4726505913742520
5510m42.0001011378952.0000[null]S[null]38New York, NY0.2678750886116180.52707825425961
5610m[null]00PC 1760030.6958[null]C14 [null]New York, NY0.278338403673843[null]0
5710f50.00000PC 1759528.7125C49 C[null][null]Paris, France New York, NY0.7121985934209080.4093400407060950
5810m46.0000069426.0000[null]S[null]80Bennington, VT0.9998205776792020.4131180221710970
5910m50.0000011304426.0000E60 S[null][null]London0.1611031629145150.3992405436975410
6010m32.50000113503211.5000C132 C[null]45[null]0.9845073989126830.9376728863591391
6110m58.000001177129.7000B37 C[null]258Buffalo, NY0.3356275302357970.3854432368048050
6210m41.000101746451.8625D21 S[null][null]Southington / Noank, CT0.538340883096680.5301330190184821
6310m[null]0011302826.5500C124 S[null][null]Portland, OR0.34698138688691[null]0
6410m[null]00PC 1761227.7208[null]C[null][null]Chicago, IL0.95128376968205[null]0
6510m29.0000011350130.0000D6 S[null]126Springfield, MA0.09584285249002280.4888259681937340
6610m30.0000011380145.5000[null]S[null][null]London / New York, NY0.6790398070588710.545014542837261
6710m30.0000011046926.0000C106 S[null][null]Brockton, MA0.7372066606767480.4698042789265420
6810m19.0001011377353.1000D30 S[null][null]New York, NY0.2040281353984030.61213156426081
6910m46.000001305075.2417C6 C[null]292Vancouver, BC0.3701842923182990.6011368182345491
7010m54.000001746351.8625E46 S[null]175Dorchester, MA0.2955482667312030.4834243295689360
7110m28.00010PC 1760482.1708[null]C[null][null]New York, NY0.1142489879857750.6848736986016981
7210m65.000001350926.5500E38 S[null]249East Bridgewater, MA0.9098702869378030.3507138984161370
7310m44.000201992890.0000C78 Q[null]230Fond du Lac, WI0.1303232165519150.6608630931733681
7410m55.0000011378730.5000C30 S[null][null]Montreal, PQ0.8879677692893890.3986761997122310
7510m47.0000011379642.4000[null]S[null][null]Washington, DC0.6252995578106490.4720477992098530
7610m37.00001PC 1759629.7000C118 C[null][null]Brooklyn, NY0.5240772413089870.4589868891615780
7710m58.0000235273113.2750D48 C[null]122Lexington, MA0.2725579130928960.6954221646433731
7810m64.0000069326.0000[null]S[null]263Isle of Wight, England0.4058483545668420.3520544433735220
7910m65.0000111350961.9792B30 C[null]234Providence, RI0.8027897407300770.482967992830240
8010m28.50000PC 1756227.7208D43 C[null]189?Havana, Cuba0.3349710088223220.4818209376209290
8110m[null]001120520.0000[null]S[null][null]Belfast0.322190738283098[null]0
8210m45.5000011304328.5000C124 S[null]166Surbiton Hill, Surrey0.2036580946296450.4242753136963330
8310m23.000001274993.5000B24 S[null][null]Montreal, PQ0.886440360685810.7356225982941041
8410m29.0001011377666.6000C2 S[null][null]Isleworth, England0.01690571988001470.6274156281431111
8510m18.00010PC 17758108.9000C65 C[null][null]Madrid, Spain0.3353341936599460.791394930178061
8610m47.0000011046552.0000C110 S[null]207Worcester, MA0.2368215168826280.5091224819651861
8710m38.00000199720.0000[null]S[null][null]Rotterdam, Netherlands0.1199166479054840.34570338447390
8810m22.00000PC 17760135.6333[null]C[null]232[null]0.1458112022373830.8441084866300761
8910m[null]00PC 17757227.5250[null]C[null][null][null]0.0339362397789955[null]0
9010m31.00000PC 1759050.4958A24 S[null][null]Trenton, NJ0.5471275837626310.5605510782740491
9110m[null]0011376750.0000A32 S[null][null]Seattle, WA0.951058926060796[null]0
9210m36.000001304940.1250A10 C[null][null]Winnipeg, MB0.8018199296202510.502784329614661
9310m55.00010PC 1760359.4000[null]C[null][null]New York, NY0.4544482503551990.5089541602636521
9410m33.0000011379026.5500[null]S[null]109London0.9018553111236540.4611827897107170
9510m61.00013PC 17608262.3750B57 B59 B6C[null][null]Haverford, PA / Cooperstown, NY0.7130366070196030.9563774055899151
9610m50.000101350755.9000E44 S[null][null]Duluth, MN0.5196298572700470.5134053666487531
9710m56.0000011379226.5500[null]S[null][null]New York, NY0.1918330839835110.380733170462460
9810m56.000001776430.6958A7 C[null][null]St James, Long Island, NY0.4164697222877290.3959564935727030
9910m24.000101369560.0000C31 S[null][null]Huntington, WV0.07079963386058810.6203496132803651
10010m[null]0011305626.0000A19 S[null][null]Streatham, Surrey0.401673781685531[null]0
Out[20]:
Rows: 1-100 of 1234 | Columns: 17