Mercurial > repos > bgruening > keras_train_and_eval
view test-data/lgb_prediction_result01.tabular @ 3:f1b9a42d6809 draft
"planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/sklearn commit 2afb24f3c81d625312186750a714d702363012b5"
| author | bgruening |
|---|---|
| date | Thu, 01 Oct 2020 21:12:39 +0000 |
| parents | 8ddb3557710d |
| children |
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year month day temp_2 temp_1 average forecast_noaa forecast_acc forecast_under friend week_Fri week_Mon week_Sat week_Sun week_Thurs week_Tues week_Wed predicted 2016 9 19 68 69 69.7 65 74 71 88 0 1 0 0 0 0 0 71.89319490976423 2016 4 14 60 59 58.1 57 63 58 66 0 0 0 0 1 0 0 59.01499037390416 2016 7 30 85 88 77.3 75 79 77 70 0 0 1 0 0 0 0 75.7624470867011 2016 5 15 82 65 64.7 63 69 64 58 0 0 0 1 0 0 0 57.569131115445174 2016 1 18 54 50 47.5 44 48 49 58 0 1 0 0 0 0 0 53.09785655110459 2016 1 25 48 51 48.2 45 51 49 63 0 1 0 0 0 0 0 53.51723077599964 2016 11 25 49 52 48.6 45 52 47 41 1 0 0 0 0 0 0 51.95292617354113 2016 7 20 73 78 76.7 75 78 77 66 0 0 0 0 0 0 1 80.03391243189029 2016 12 17 39 35 45.2 43 47 46 38 0 0 1 0 0 0 0 38.021020662843554 2016 12 8 42 40 46.1 45 51 47 36 0 0 0 0 1 0 0 43.871817980640564 2016 12 28 42 47 45.3 41 49 44 58 0 0 0 0 0 0 1 45.76312225952035 2016 7 17 76 72 76.3 76 78 77 88 0 0 0 1 0 0 0 78.44319295537714 2016 7 7 69 76 74.4 73 77 74 72 0 0 0 0 1 0 0 70.5335293567219 2016 12 15 40 39 45.3 45 49 47 46 0 0 0 0 1 0 0 39.057420195088596 2016 6 27 71 78 72.2 70 74 72 84 0 1 0 0 0 0 0 82.20245159198711 2016 5 31 64 71 67.3 63 72 68 85 0 0 0 0 0 1 0 78.30191181424183 2016 1 20 54 48 47.7 44 52 49 61 0 0 0 0 0 0 1 54.04964089659319 2016 8 10 73 72 77.0 77 78 77 68 0 0 0 0 0 0 1 76.39576480057465 2016 3 23 56 57 54.7 50 58 55 70 0 0 0 0 0 0 1 52.935205395366545 2016 12 24 45 40 45.1 44 47 46 39 0 0 1 0 0 0 0 40.72928485821922 2016 1 19 50 54 47.6 47 49 48 53 0 0 0 0 0 1 0 48.15143238233738 2016 11 6 65 58 53.2 52 57 55 71 0 0 0 1 0 0 0 61.18233215509339 2016 4 17 60 68 58.6 58 62 59 54 0 0 0 1 0 0 0 77.18078446802005 2016 10 29 60 65 55.3 55 59 55 65 0 0 1 0 0 0 0 67.20288900944993 2016 2 1 48 47 48.8 46 49 49 51 0 1 0 0 0 0 0 48.34602414815062 2016 12 12 44 44 45.6 43 50 45 42 0 1 0 0 0 0 0 44.253448105719876 2016 5 30 64 64 67.1 64 70 66 69 0 1 0 0 0 0 0 71.3927492219339 2016 10 23 59 62 57.1 57 58 59 67 0 0 0 1 0 0 0 62.58006444737433 2016 9 30 68 66 65.7 64 67 65 74 1 0 0 0 0 0 0 65.68744660437471 2016 9 12 77 70 71.8 67 73 73 90 0 1 0 0 0 0 0 73.72156656653756 2016 11 2 59 57 54.2 54 58 55 70 0 0 0 0 0 0 1 57.84328293804783 2016 11 17 55 50 50.5 46 51 50 57 0 0 0 0 1 0 0 50.42632486665048 2016 3 3 58 55 51.8 49 54 50 71 0 0 0 0 1 0 0 59.623494716733035 2016 11 21 57 55 49.5 46 51 49 67 0 1 0 0 0 0 0 53.32237486832612 2016 12 27 42 42 45.2 41 50 47 47 0 0 0 0 0 1 0 46.480428465622566 2016 4 24 64 65 60.1 57 61 60 41 0 0 0 1 0 0 0 55.57021075899771 2016 5 20 64 63 65.6 63 70 64 73 1 0 0 0 0 0 0 65.97337851386187 2016 1 16 49 48 47.3 45 52 46 28 0 0 1 0 0 0 0 51.12832230287266 2016 12 7 40 42 46.3 44 51 46 62 0 0 0 0 0 0 1 40.14107546376078 2016 1 7 44 51 46.2 45 49 46 38 0 0 0 0 1 0 0 43.30978565286583 2016 9 24 67 64 68.0 65 71 66 64 0 0 1 0 0 0 0 67.6354117078402 2016 8 30 79 75 74.6 74 76 75 63 0 0 0 0 0 1 0 70.28790811869037 2016 1 11 50 52 46.7 42 48 48 39 0 1 0 0 0 0 0 46.11736014295371 2016 6 9 85 67 68.6 66 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