Task: Data-Imputation (source dataset: tablib)

Please fill in the missing value in the input table. The missing value is denoted by '[MISSING]'. Please only return the value filled in. Do not return the whole table.

No explanation, return the value filled in JSON format: {"value": "filled_value"}. 

Input Table:
| 10.971388049432884   |   11.878103928468125 |   24.798437481745317 |   6.70647476097088 |   7.80924596130124 |   24.798437481745317.1 |   10000 |
|:---------------------|---------------------:|---------------------:|-------------------:|-------------------:|-----------------------:|--------:|
| 10.571350431071464   |            11.3283   |            15.748    |           8.15292  |           9.35398  |              14.4296   |     nan |
| 10.160677778783539   |            10.7695   |            12.188    |           7.45702  |           8.41772  |              10.8327   |     nan |
| 9.743092651569308    |            10.2084   |            10.2232   |           6.77412  |           7.53651  |               8.8387   |     nan |
| 9.322156428021705    |             9.65152  |             8.89484  |           6.09904  |           6.69544  |               7.36348  |     nan |
| 8.901205770457198    |             9.10514  |             7.9773   |           5.03283  |           5.57431  |               6.31514  |     nan |
| 8.483300068322198    |             8.57557  |             7.18225  |           5.32302  |           5.61344  |               5.71135  |     nan |
| [MISSING]            |             8.06843  |             6.52308  |           4.84764  |           5.0526   |               5.06025  |     nan |
| 7.667249710488591    |             7.58488  |             5.96553  |           4.41041  |           4.55337  |               4.50913  |     nan |
| 7.273547449242703    |             7.12525  |             5.48683  |           4.02055  |           4.1176   |               4.04295  |     nan |
| 6.8917620457562005   |             6.69036  |             5.06994  |           3.66819  |           3.73305  |               3.64268  |     nan |
| 6.523235236365308    |             6.28051  |             4.70248  |           3.34974  |           3.39359  |               3.29663  |     nan |
| 6.168982819893096    |             5.89516  |             4.37597  |           3.0624   |           3.09288  |               2.99882  |     nan |
| 5.829720752721548    |             5.53393  |             4.08479  |           2.80321  |           2.82257  |               2.73368  |     nan |
| 5.50589565682493     |             5.196    |             3.82153  |           2.56381  |           2.57582  |               2.4975   |     nan |
| 5.197717726718918    |             4.8803   |             3.58157  |           2.35453  |           2.36037  |               2.28946  |     nan |
| 4.905194304518483    |             4.58564  |             3.36351  |           2.17508  |           2.17537  |               2.10623  |     nan |
| 4.628162728570303    |             4.31065  |             3.16358  |           2.01108  |           2.00704  |               1.94188  |     nan |
| 4.366321408316859    |             4.05427  |             2.9798   |           1.85965  |           1.85199  |               1.79172  |     nan |
| 4.119258404996388    |             3.8153   |             2.81029  |           1.72297  |           1.7103   |               1.65405  |     nan |
| 3.8864770845320966   |             3.59256  |             2.6536   |           1.59932  |           1.58565  |               1.53561  |     nan |
| 3.667418645418493    |             3.38493  |             2.5097   |           1.48717  |           1.47228  |               1.42807  |     nan |
| 3.4614815081584593   |             3.19135  |             2.37723  |           1.38522  |           1.36902  |               1.3298   |     nan |
| 3.2680376867546315   |             3.01081  |             2.25388  |           1.29236  |           1.27445  |               1.23987  |     nan |
| 3.086446353014581    |             2.84237  |             2.13881  |           1.20268  |           1.18833  |               1.15769  |     nan |
| 2.9160648585696602   |             2.68515  |             2.03128  |           1.11771  |           1.10863  |               1.08168  |     nan |
| 2.756257505355767    |             2.53833  |             1.93059  |           1.03626  |           1.03399  |               1.01066  |     nan |
| 2.606402360141515    |             2.40116  |             1.83604  |           0.954472 |           0.955633 |               0.942849 |     nan |
| 2.4658963988228373   |             2.27293  |             1.74736  |           0.882967 |           0.885521 |               0.881554 |     nan |
| 2.3341592468001755   |             2.15299  |             1.66411  |           0.831069 |           0.83351  |               0.830378 |     nan |
| 2.210635756846661    |             2.04074  |             1.58586  |           0.784184 |           0.785807 |               0.78332  |     nan |
| 2.094797638467159    |             1.93563  |             1.51224  |           0.741579 |           0.742132 |               0.740108 |     nan |
| 1.9861443249696722   |             1.83713  |             1.44292  |           0.704403 |           0.704536 |               0.700996 |     nan |
| 1.8842032377490519   |             1.74477  |             1.37759  |           0.66692  |           0.667009 |               0.663592 |     nan |
| 1.788529582501043    |             1.65813  |             1.31597  |           0.631429 |           0.631518 |               0.628549 |     nan |
| 1.6987057897206688   |             1.57678  |             1.2578   |           0.598467 |           0.598557 |               0.595972 |     nan |
| 1.614340692084182    |             1.50036  |             1.20286  |           0.567809 |           0.567898 |               0.565644 |     nan |
| 1.5350685141639702   |             1.42853  |             1.15092  |           0.539254 |           0.539342 |               0.537371 |     nan |
| 1.4605477352520122   |             1.36096  |             1.10179  |           0.512622 |           0.512707 |               0.510981 |     nan |
| 1.3904598736678397   |             1.29737  |             1.05528  |           0.487751 |           0.487833 |               0.486318 |     nan |
| 1.3245082305637323   |             1.23747  |             1.01123  |           0.464494 |           0.464573 |               0.46324  |     nan |
| 1.262416622664634    |             1.18103  |             0.969486 |           0.442722 |           0.442797 |               0.441621 |     nan |
| 1.2039281263500088   |             1.12781  |             0.929898 |           0.422314 |           0.422385 |               0.421345 |     nan |
| 1.1488038497726183   |             1.07758  |             0.892335 |           0.403164 |           0.403231 |               0.40231  |     nan |
| 1.0968217451085303   |             1.03017  |             0.856674 |           0.385174 |           0.385237 |               0.384419 |     nan |
| 1.0477754693609467   |             0.985374 |             0.822801 |           0.368258 |           0.368316 |               0.367588 |     nan |
| 1.0014732992380282   |             0.94303  |             0.790607 |           0.352333 |           0.352388 |               0.351738 |     nan |
| 0.9577371033549177   |             0.902978 |             0.759995 |           0.337328 |           0.337379 |               0.336797 |     nan |
| 0.9164013732562329   |             0.865074 |             0.730872 |           0.323177 |           0.323223 |               0.322702 |     nan |
| 0.8773123134195316   |             0.829179 |             0.703152 |           0.309817 |           0.30986  |               0.309391 |     nan |
| 0.840326989400955    |             0.795169 |             0.676754 |           0.297194 |           0.297234 |               0.296811 |     nan |



row_idx: 6
col_idx: 0
col_name: 10.971388049432884
label: 8.07118166742081
output: value: 8.07118166742081
tablib_key: tables/job=github_000005/batch=009026/KPXe77mFenKY2nWberzWpVLSugCaAIi_onViaLVJPrY=