Market simulation competition : Completed
Bonus round: Ageless dataset: Completed
#supervised_learning
#educational
#insurance
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10.5k
Dive into the actual data that was used to compute Week 2 leaderboard
| Policy summary | |
|---|---|
| pol_coverage | Max (63%) |
| pol_duration | 11.05 |
| pol_no_claims_discount | 0.06 |
| pol_pay_freq | Yearly (38%) |
| pol_payd | No (96%) |
| pol_sit_duration | 2.76 |
| pol_usage | WorkPrivate (66%) |
| year | 1 |
| Vehicle summary | |
|---|---|
| vh_age | 9.63 |
| vh_fuel | Diesel (55%) |
| vh_make_model | rthsjeyjgdlmkygk (8%) |
| vh_speed | 170.75 |
| vh_type | Tourism (90%) |
| vh_value | 17689.72 |
| vh_weight | 1093.62 |
| Demographic summary | |
|---|---|
| drv_age1 | 54.81 |
| drv_age2 | 47.47 |
| drv_age_lic1 | 32.64 |
| drv_age_lic2 | 25.65 |
| drv_drv2 | No (68%) |
| drv_sex1 | M (61%) |
| drv_sex2 | F (62%) |
| Location summary | |
|---|---|
| population | 572.38 |
| town_surface_area | 203.35 |
| Claims summary | |
|---|---|
| claim_frequency | 0.11 |
| Δ | # | Participants | Participation | Average Profit | Entries | Last Submission | Submission Trend | |
|---|---|---|---|---|---|---|---|---|
|
01 |
fredrlwo
|
1.0 | 6154.65 | 1 |
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02 |
gabe_taylor
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1.0 | 5970.59 | 1 |
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03 |
simon_coulombe
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1.0 | 4443.72 | 1 |
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04 |
tom_snowdon
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1.0 | 3566.68 | 1 |
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05 |
JeanRodriguez
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1.0 | 2697.29 | 1 |
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06 |
Maxime_Comeau
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1.0 | 1558.72 | 1 |
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07 |
can_baysal
|
1.0 | 1381.81 | 1 |
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08 |
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1.0 | 784.80 | 1 |
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09 |
edwin_graham
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1.0 | 204.65 | 1 |
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10 |
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1.0 | -146.20 | 1 |
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11 |
guillaume_bs
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1.0 | -296.48 | 1 |
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12 |
jbm1966
|
1.0 | -442.29 | 1 |
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13 |
arun_k
|
1.0 | -490.98 | 1 |
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14 |
solve_fx
|
1.0 | -526.78 | 1 |
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15 |
Tommy
|
1.0 | -1173.34 | 1 |
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16 |
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1.0 | -1438.74 | 1 |
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17 |
brendon
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1.0 | -1555.18 | 1 |
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18 |
WHM
|
1.0 | -2050.31 | 1 |
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19 |
jmmb_leoni
|
1.0 | -7449.81 | 1 |
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20 |
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1.0 | -9177.19 | 1 |
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21 |
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1.0 | -9467.60 | 1 |
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22 |
sourabh_jha
|
1.0 | -11641.62 | 1 |
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23 |
aymeric_b
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1.0 | -18539.40 | 1 |
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24 |
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1.0 | -19811.53 | 1 |
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25 |
bor_harej
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1.0 | -21314.64 | 1 |
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26 |
robin_quessard
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1.0 | -23673.92 | 1 |
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27 |
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1.0 | -25195.37 | 1 |
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28 |
alexnguyen9
|
1.0 | -29893.03 | 1 |
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29 |
mathieu.jacob
|
1.0 | -33278.09 | 1 |
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30 |
clembrule
|
1.0 | -34317.51 | 1 |
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31 |
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1.0 | -34526.39 | 1 |
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32 |
yixxas
|
1.0 | -37724.59 | 1 |
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33 |
nigel_carpenter
|
1.0 | -41698.62 | 1 |
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34 |
actuarygrape
|
1.0 | -42256.47 | 1 |
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35 |
leocd
|
1.0 | -44008.24 | 1 |
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36 |
switalaartur
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1.0 | -45541.34 | 1 |
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37 |
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1.0 | -47542.12 | 1 |
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38 |
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1.0 | -48027.41 | 1 |
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39 |
demarsylvain
|
1.0 | -55095.15 | 1 |
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40 |
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1.0 | -67224.74 | 1 |
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41 |
TuT
|
1.0 | -80411.07 | 1 |
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42 |
Woolhouse
|
1.0 | -80496.81 | 1 |
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43 |
zhengyh
|
1.0 | -98930.15 | 1 |
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44 |
luciano_naveiro
|
1.0 | -103392.20 | 1 |
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45 |
|
1.0 | -104001.61 | 1 |
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46 |
sina1374
|
1.0 | -107265.53 | 1 |
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47 |
mam_insurance
|
1.0 | -107599.27 | 1 |
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48 |
robbsson
|
1.0 | -108374.43 | 1 |
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49 |
tor_martin_c
|
1.0 | -109914.35 | 1 |
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50 |
faisal_goussous
|
1.0 | -126515.25 | 1 |
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