In [1]:
from lib.modules_road_sign import describe_data, preprocessing, Model
In [2]:
train, test, details = describe_data('./data/roadsign')
Directory Read from:./data/roadsign/*
Files Read:
./data/roadsign/sample_submission.csv
./data/roadsign/test.csv
./data/roadsign/train.csv
In [3]:
train_X, train_Y, test_X, id = preprocessing(train, test)
In [4]:
model = Model(train_X, train_Y, test_X, id)
model.CVmethod()
model.predict()
Fitting 3 folds for each of 12 candidates, totalling 36 fits
Iter Train Loss Remaining Time
Iter Train Loss Remaining Time
Iter Train Loss Remaining Time
Iter Train Loss Remaining Time
1 25653.0755 1.43m
1 25511.5887 50.80s
1 25616.6105 50.13s
1 25653.0755 1.31m
2 21832.9022 55.35s
2 22097.4551 51.95s
2 22256.3435 1.05m
2 22256.3435 2.25m
3 18699.7771 54.19s
3 19153.4853 49.42s
3 19296.6021 56.56s
3 19296.6021 2.08m
4 16080.2923 51.53s
4 16610.9652 55.11s
4 16521.0668 58.90s
4 16610.9652 2.10m
5 14822.6249 54.07s
5 14349.6635 54.40s
5 14739.0251 1.01m
6 13055.5996 54.12s
5 14822.6249 2.14m
6 12585.7430 54.91s
6 12965.5390 57.45s
6 13055.5996 2.09m
7 11075.3929 54.05s
7 11554.1381 55.54s
7 11558.7462 55.81s
7 11554.1381 2.02m
8 9808.3881 54.58s
8 10252.9694 55.10s
8 10237.4927 54.18s
8 10252.9694 1.97m
9 9124.5519 54.48s
9 8704.4379 54.53s
9 9093.7307 52.96s
9 9124.5519 1.95m
10 8199.8063 54.07s
10 8149.1224 52.59s
10 7778.2641 56.55s
10 8199.8063 1.98m
20 4045.9615 46.57s
20 4175.3580 48.29s
20 3751.9410 48.35s
20 4175.3580 1.69m
30 2950.1222 44.14s
30 2717.1562 45.96s
30 3078.4640 47.20s
30 3078.4640 1.64m
40 2386.2703 46.15s
40 2580.7204 46.01s
40 2710.8359 1.67m
40 2710.8359 48.91s
50 2421.8917 46.83s
50 2232.8103 47.91s
50 2564.7463 1.73m
50 2564.7463 49.57s
60 2323.6182 47.43s
60 2133.3489 48.93s
60 2468.2675 49.59s
60 2468.2675 1.79m
70 2250.5783 47.09s
70 2380.3923 48.97s
70 2045.1282 49.27s
70 2380.3923 1.78m
80 2166.9366 47.77s
80 1970.5428 49.04s
80 2309.6119 49.53s
80 2309.6119 1.82m
90 2096.5162 47.32s
90 2247.5658 48.55s
90 2247.5658 1.80m
90 1902.7496 48.73s
100 2031.7700 45.29s
100 1842.0070 47.07s
100 2187.4405 47.12s
100 2187.4405 1.78m
200 1625.9023 33.58s
200 1715.3876 34.50s
200 1715.3876 1.56m
200 1410.2260 35.75s
300 1380.8254 22.78s
300 5134.0269 22.91s
300 1380.8254 1.34m
300 1097.9220 24.07s
400 1125.3483 11.09s
400 4819.2313 11.16s
400 1125.3483 1.12m
400 978.0760 11.45s
500 937.9870 0.00s
500 4527.7064 0.00s
500 937.9870 53.76s
500 6632369196290312315731256462458473234638904368031607644853702891268091150336.0000 0.00s
Iter Train Loss Remaining Time
1 25328.3070 1.44m
2 21388.1395 1.47m
3 18399.5172 1.50m
Iter Train Loss Remaining Time
4 15875.8704 1.61m
1 25659.8328 1.85m
5 13786.7363 1.73m
2 21751.2710 2.14m
6 12212.4326 1.76m
3 18753.8334 2.03m
7 10745.4168 1.77m
4 16201.2169 1.95m
8 9501.2956 1.74m
5 14135.1552 1.88m
9 8430.1923 1.70m
6 12390.8528 1.83m
10 7579.7392 1.70m
7 10965.6124 1.81m
8 9734.4647 1.77m
9 8670.5843 1.72m
10 7860.8493 1.70m
Iter Train Loss Remaining Time
1 25332.9936 57.22s
2 21371.3265 57.13s
3 18251.0891 56.78s
4 15732.9865 56.64s
5 13676.9317 56.36s
20 3589.5960 1.64m
6 11974.1334 1.05m
7 10555.1319 1.08m
20 3826.3773 1.62m
8 9365.4485 1.07m
9 8361.0144 1.05m
10 7514.9525 1.04m
30 2653.9393 1.64m
30 2873.4905 1.64m
20 3638.5701 1.07m
40 2354.4363 1.66m
40 2537.9410 1.64m
50 2193.7422 1.65m
30 2782.3732 1.05m
50 2386.3663 1.61m
60 2288.1753 1.59m
60 2083.0345 1.67m
40 2542.4001 1.07m
70 2205.4118 1.57m
70 2011.2755 1.67m
600 775.2102 42.36s
50 2433.3628 1.05m
80 2151.4770 1.59m
80 1938.2181 1.64m
90 1883.0720 1.61m
90 2073.3655 1.57m
60 2344.0686 1.03m
100 1823.6783 1.57m
100 2010.5841 1.54m
70 2266.2265 1.01m
80 2204.5662 58.90s
90 2146.6667 57.45s
100 2088.4007 56.00s
700 665.6945 31.74s
200 1570.2477 1.37m
200 1403.5946 1.40m
800 560.0733 20.80s
200 1030984623150.7507 39.57s
300 1255.6071 1.13m
300 1088.1358 1.17m
900 477.7152 10.19s
400 1017.3355 55.88s
400 867.6131 57.80s
300 1030984622677.7780 24.89s
1000 409.0475 0.00s
500 830.8845 45.66s
500 692.8730 46.96s
Iter Train Loss Remaining Time
1 25258.9530 57.24s
2 21247.5002 59.19s
400 206074721952.7165 11.98s
3 18087.0336 1.03m
4 15537.4576 1.01m
5 13454.3677 59.83s
6 11732.1272 59.70s
7 10296.2840 59.14s
8 9093.8101 58.87s
9 8081.7332 59.47s
10 7226.0359 59.30s
20 3322.7497 57.57s
30 2474.5451 56.25s
40 2212.5180 56.69s
600 677.0626 36.62s
50 2085.5377 57.33s
600 565.1916 37.62s
60 2008.0433 54.94s
70 1935.8826 53.01s
80 1877.8292 52.14s
90 1822.9589 49.87s
100 1763.4431 48.18s
500 819.4458 0.00s
Iter Train Loss Remaining Time
1 25310.3251 1.28m
2 21333.9862 1.15m
3 18196.0442 1.35m
4 15668.2197 1.28m
5 13600.7818 1.22m
6 11889.4469 1.18m
700 561.3861 27.42s
7 10464.5509 1.17m
8 9269.1288 1.14m
9 8261.4753 1.15m
10 7409.0789 1.14m
700 456.1225 28.11s
20 3525.5039 1.06m
30 2672.5741 1.00m
40 2408.5093 57.47s
50 2304.9244 55.76s
60 2220.3924 53.04s
70 2140.9657 50.81s
200 1365.6196 34.66s
800 466.8828 18.09s
80 2077.0918 49.03s
90 2023.8906 47.44s
800 378.7635 18.52s
100 1968.6574 46.14s
900 395.2096 9.15s
900 314.4521 9.31s
300 33852.3047 23.96s
200 1498.6617 37.25s
1000 336.6550 0.00s
1000 264.8382 0.00s
Iter Train Loss Remaining Time
1 25332.9936 2.69m
2 21371.3265 2.72m
3 18251.0891 2.49m
4 15732.9865 2.39m
400 33596.1283 12.04s
5 13676.9317 2.33m
6 11974.1334 2.26m
7 10555.1319 2.23m
8 9365.4485 2.32m
Iter Train Loss Remaining Time
9 8361.0144 2.40m
1 25258.9530 2.74m
10 7514.9525 2.44m
2 21247.5002 2.79m
3 18087.0336 2.81m
4 15537.4576 2.65m
5 13454.3677 2.54m
6 11732.1272 2.46m
7 10296.2840 2.41m
8 9093.8101 2.35m
9 8081.7332 2.34m
10 7226.0359 2.38m
20 3638.5701 2.33m
20 3322.7497 2.32m
300 1155.7751 24.90s
30 2782.3732 2.28m
30 2474.5451 2.29m
40 2542.4001 2.24m
50 2433.3628 2.17m
40 2212.5180 2.25m
60 2344.0686 2.14m
50 2085.5377 2.22m
70 2266.2265 2.10m
60 2008.0433 2.18m
80 2204.5662 2.07m
70 1935.8826 2.15m
90 2146.6667 2.02m
80 1877.8292 2.11m
100 2088.4007 1.99m
90 1822.9589 2.09m
500 14996089689.4775 0.00s
100 1763.4431 2.03m
Iter Train Loss Remaining Time
1 25310.3251 1.91m
2 21333.9862 1.91m
3 18196.0442 1.94m
400 10724533047719356.0000 12.41s
4 15668.2197 1.97m
5 13600.7818 1.99m
6 11889.4469 1.98m
7 10464.5509 1.96m
8 9269.1288 1.96m
9 8261.4753 1.96m
10 7409.0789 1.96m
20 3525.5039 1.87m
30 2672.5741 1.84m
40 2408.5093 1.83m
50 2304.9244 1.78m
60 2220.3924 1.74m
70 2140.9657 1.70m
200 1030984623150.7507 1.62m
80 2077.0918 1.68m
200 1365.6196 1.64m
90 2023.8906 1.71m
100 1968.6574 1.72m
500 10724533047719150.0000 0.00s
Iter Train Loss Remaining Time
1 25442.7624 1.83m
2 21393.0556 1.95m
3 18166.4653 2.15m
4 15541.6205 2.27m
5 13408.7825 2.36m
6 11637.2174 2.32m
7 10153.1699 2.26m
8 8915.3675 2.27m
9 7876.6380 2.30m
10 6988.0060 2.32m
20 2748.5180 2.24m
300 1030984622677.7780 1.48m
30 1624.8072 2.19m
300 33852.3047 1.47m
200 1498.6617 1.60m
40 1192.8933 2.10m
50 941.4758 1.96m
60 755.0024 1.85m
70 620.3911 1.75m
80 521.0884 1.68m
400 206074721952.7165 1.24m
400 33596.1283 1.22m
300 1155.7751 1.35m
90 434.0005 1.61m
100 380.6878 1.54m
500 14996089689.4775 59.38s
500 819.4458 1.01m
400 10724533047719356.0000 1.13m
600 14995059440.2795 46.92s
500 10724533047719150.0000 55.71s
600 667.3602 47.88s
200 80.6429 1.08m
600 10724533047719006.0000 44.27s
700 14992682515.4402 34.90s
700 539.0290 35.57s
300 28.9462 41.77s
700 10724533047718892.0000 33.29s
800 14992682402.8337 23.20s
800 443.7631 23.56s
800 10724533047718812.0000 22.10s
900 370.7530 11.68s
900 48581162219841195614981269462290543568170301342144594792814108652668479089161987181393430471960167591078803767693100948659171130489921953405733031330709504.0000 11.56s
400 20.0550 19.59s
900 10724533047718754.0000 11.02s
1000 48581162219841195614981269462290543568170301342144594792814108652668479089161987181393430471960167591078803767693100948659171130489921953405733031330709504.0000 0.00s
1000 314.3168 0.00s
Iter Train Loss Remaining Time
Iter Train Loss Remaining Time
1 25152.8179 1.88m
1 25215.4754 1.81m
2 21057.5285 1.92m
2 21176.8546 1.88m
500 18.4504 0.00s
3 17833.4407 1.91m
3 18007.5713 1.87m
4 15226.4618 1.92m
4 15405.9583 1.86m
5 13082.2078 1.95m
5 13269.8378 1.85m
6 11322.8470 1.94m
6 11520.8135 1.84m
7 9852.1141 1.93m
7 10039.9914 1.83m
8 8605.4623 1.93m
8 8813.6617 1.83m
9 7577.7800 1.94m
9 7759.8986 1.83m
10 6683.5629 1.93m
10 6877.7177 1.82m
Iter Train Loss Remaining Time
20 2615.4888 1.74m
20 2449.9943 1.83m
1 25220.3115 3.64m
2 21175.5535 3.71m
3 18020.7029 3.81m
4 15441.6269 3.82m
5 13322.4839 3.85m
6 11566.3852 3.82m
1000 10724533047718704.0000 0.00s
7 10086.8422 3.85m
8 8848.1781 3.87m
9 7795.8010 3.90m
10 6910.9099 3.91m
30 1345.7336 1.77m
30 1493.8938 1.75m
40 921.0258 1.71m
40 1052.1956 1.71m
20 2695.2159 3.90m
Iter Train Loss Remaining Time
1 25152.8179 3.52m
2 21057.5285 3.58m
3 17833.4407 3.59m
4 15226.4618 3.58m
5 13082.2078 3.62m
6 11322.8470 3.64m
7 9852.1141 3.66m
50 708.5226 1.66m
50 816.7422 1.65m
8 8605.4623 3.67m
9 7577.7800 3.68m
30 1627.2657 3.82m
10 6683.5629 3.70m
60 564.5293 1.60m
60 679.6072 1.59m
40 1182.7114 3.71m
20 2449.9943 3.65m
70 561.7662 1.53m
70 455.8178 1.55m
50 924.9101 3.65m
30 1345.7336 3.59m
80 455.5318 1.48m
80 374.6999 1.50m
60 748.5285 3.54m
40 921.0258 3.56m
90 380.4629 1.43m
90 305.2728 1.45m
70 611.8690 3.45m
50 708.5226 3.47m
100 326.2702 1.39m
100 256.7766 1.41m
80 516.2453 3.36m
60 564.5293 3.39m
90 427.6557 3.29m
70 455.8178 3.30m
100 360.2228 3.23m
80 374.6999 3.23m
90 305.2728 3.16m
100 256.7766 3.10m
200 57.1153 1.02m
200 68.7103 1.04m
200 76.8936 2.79m
200 57.1153 2.72m
300 27.3706 40.76s
300 30.3680 42.39s
300 28.4054 2.51m
300 27.3706 2.50m
400 23.0391 19.82s
400 23.9684 21.01s
400 20.0615 2.12m
400 23.0391 2.08m
500 22.1534 0.00s
Iter Train Loss Remaining Time
500 22.8327 0.00s
1 25215.6892 4.59m
2 21206.1887 4.57m
3 18013.5933 5.01m
4 15424.7541 5.25m
5 13289.9716 5.31m
6 11542.3156 5.45m
7 10063.1270 5.39m
8 8817.0208 5.34m
9 7765.0164 5.42m
10 6864.1392 5.42m
Iter Train Loss Remaining Time
1 25179.9125 4.41m
2 21107.1845 4.65m
3 17893.0646 4.69m
20 2605.4768 5.57m
4 15293.8905 4.73m
5 13160.4666 4.88m
500 18.4448 1.70m
6 11395.8244 5.01m
7 9921.2556 5.02m
8 8679.7223 5.15m
500 22.1534 1.65m
30 1497.1331 5.63m
9 7631.9494 5.28m
10 6740.2140 5.26m
40 1078.5640 5.80m
20 2534.7931 4.85m
50 822.1454 5.70m
60 652.6533 5.57m
30 1435.5861 4.72m
70 529.0023 5.43m
600 17.8979 1.32m
600 21.7570 1.28m
80 447.5313 5.19m
40 963.3475 4.33m
90 369.2227 5.05m
50 745.1265 4.10m
100 309.7135 4.90m
60 604.9956 3.91m
700 17.5962 57.18s
700 21.5258 55.21s
70 485.5072 3.73m
80 399.4870 3.48m
90 335.3726 3.35m
800 21.3600 35.15s
800 17.4044 36.50s
100 280.9305 3.20m
200 67.9489 3.75m
900 21.2423 16.98s
900 17.2695 17.60s
1000 21.1495 0.00s
1000 17.1563 0.00s
300 29.6648 3.04m
Iter Train Loss Remaining Time
1 25108.9014 2.58m
2 20990.7444 2.61m
3 17745.9292 2.61m
4 15130.0317 2.60m
5 12979.5747 2.68m
6 11205.2697 2.81m
Iter Train Loss Remaining Time
7 9721.5366 2.91m
1 25166.8145 3.69m
8 8471.4372 3.04m
2 21072.3994 3.63m
9 7416.4457 3.10m
3 17848.2811 3.71m
10 6522.1013 3.14m
4 15245.4577 3.70m
5 13106.2493 3.71m
6 11335.1478 3.70m
200 66.1593 2.02m
7 9852.2925 3.71m
8 8601.8246 3.70m
9 7551.4767 3.69m
10 6655.5500 3.74m
20 2267.9336 3.35m
20 2421.1785 3.68m
30 1193.3871 3.30m
400 23.9226 2.38m
30 1315.8487 3.74m
40 763.0407 3.33m
40 890.9354 3.58m
50 564.0485 3.19m
60 455.6509 3.16m
50 676.4727 3.56m
70 384.6909 3.02m
60 546.5866 3.46m
500 22.8514 1.85m
80 318.1523 2.91m
70 468.1316 3.27m
90 265.9136 2.84m
80 400.8741 3.13m
100 219.7913 2.74m
90 332.0676 2.99m
300 25.9290 1.31m
600 22.3880 1.38m
100 275.4220 2.85m
700 22.1291 58.62s
800 21.9584 37.61s
400 19.3402 37.26s
200 52.0635 1.95m
900 21.8303 18.13s
200 63.9207 2.08m
1000 21.7360 0.00s
500 18.1836 0.00s
Iter Train Loss Remaining Time
1 25179.8038 6.86m
Iter Train Loss Remaining Time
1 25108.6155 6.37m
2 21107.0981 7.01m
2 20990.5573 6.98m
3 17893.0156 7.29m
3 17745.7631 6.88m
4 15293.8689 7.30m
4 15128.9717 6.91m
5 13160.1199 7.30m
5 12979.5344 7.04m
6 11395.7212 7.46m
6 11205.5237 7.12m
7 9921.3768 7.48m
7 9720.8050 7.21m
8 8680.0645 7.46m
8 8471.0132 7.20m
9 7632.0083 7.46m
9 7415.8183 7.27m
10 6740.1068 7.46m
10 6520.9982 7.27m
20 2538.8273 7.31m
20 2262.9435 7.02m
300 26.9414 1.23m
30 1187.2419 6.98m
30 1428.7348 7.23m
40 978.6741 7.14m
300 28.7640 1.30m
40 789.3803 7.04m
50 751.9307 6.99m
50 587.4030 6.85m
60 461.1260 6.60m
60 610.5992 7.01m
70 368.3975 6.47m
70 486.2723 6.77m
80 299.7502 6.20m
80 398.3078 6.50m
400 22.9642 33.83s
90 249.4341 6.10m
90 333.4694 6.48m
100 210.2393 6.02m
100 286.5809 6.31m
400 23.7081 35.78s
500 22.0822 0.00s
Iter Train Loss Remaining Time
1 25166.6545 5.70m
2 21072.0070 5.88m
3 17848.1273 5.95m
4 15245.2646 6.02m
5 13106.9275 6.04m
6 11332.1203 6.07m
7 9851.0244 6.10m
8 8599.5702 6.14m
9 7548.3818 6.16m
10 6657.0259 6.16m
500 22.6998 0.00s
20 2425.9193 5.91m
Iter Train Loss Remaining Time
1 25055.1327 4.87m
2 20870.7914 5.70m
3 17571.8129 5.87m
4 14896.0268 6.04m
30 1322.9719 5.98m
5 12724.9551 6.25m
6 10899.5031 6.40m
7 9371.3687 6.52m
8 8093.1719 6.50m
40 884.0614 5.96m
9 7005.1342 6.57m
200 51.4328 4.69m
10 6071.5999 6.67m
50 671.3553 5.82m
200 60.7437 4.94m
60 529.4340 5.65m
70 435.2383 5.49m
20 1664.5897 6.81m
80 366.7929 5.34m
90 307.7846 5.21m
30 578.7326 6.73m
100 262.6280 5.10m
40 252.5991 6.34m
300 26.6720 3.76m
50 128.4402 5.88m
300 24.9350 4.00m
60 74.7081 5.39m
70 49.2763 4.96m
80 36.4448 4.59m
400 22.7823 2.92m
90 28.5360 4.28m
200 60.7211 4.31m
100 24.0712 4.00m
400 19.3543 3.13m
500 21.9852 2.23m
500 18.2018 2.36m
200 17.8439 1.97m
300 28.7198 3.60m
600 21.6442 1.66m
300 17.3636 1.02m
600 17.7746 1.74m
700 21.4355 1.18m
400 17.1229 26.10s
400 23.7514 2.85m
700 17.5187 1.22m
800 21.2958 45.01s
500 16.9712 0.00s
Iter Train Loss Remaining Time
1 25001.8539 3.77m
500 22.6687 2.17m
800 17.3491 46.40s
2 20778.5474 4.40m
3 17452.4683 4.70m
4 14773.2740 4.94m
5 12577.4717 5.16m
6 10746.6108 5.28m
7 9217.8098 5.37m
8 7940.6491 5.41m
9 6856.1636 5.50m
10 5929.6594 5.56m
900 21.1890 21.58s
20 1564.4896 5.75m
600 22.2751 1.61m
900 17.2155 22.35s
30 499.9140 5.73m
1000 21.1036 0.00s
40 196.7670 5.39m
700 22.0654 1.13m
Iter Train Loss Remaining Time
1 25008.7669 4.36m
1000 17.1090 0.00s
2 20825.5380 4.71m
3 17521.2513 4.87m
4 14831.5309 5.01m
50 96.9187 4.95m
5 12636.1116 5.21m
6 10832.8040 5.31m
7 9309.7448 5.38m
8 8028.9475 5.37m
9 6936.3784 5.52m
10 6007.1996 5.55m
60 57.0930 4.56m
Iter Train Loss Remaining Time
1 25034.4930 8.98m
2 20849.7147 10.88m
3 17546.4623 11.81m
4 14876.3114 12.51m
70 39.9867 4.22m
5 12682.9150 12.76m
6 10867.1078 12.90m
800 21.9126 43.15s
7 9346.5025 12.98m
8 8069.2429 13.08m
80 31.6846 3.92m
9 6991.4091 13.08m
10 6076.1397 13.17m
20 1603.2739 6.21m
90 27.5182 3.64m
100 25.1608 3.38m
20 1662.9878 13.57m
30 540.7138 6.29m
900 21.7949 20.68s
40 225.6927 5.95m
30 565.0251 13.50m
200 21.7546 1.66m
50 114.6298 5.50m
1000 21.7034 0.00s
40 242.2349 12.84m
60 69.1128 5.05m
50 122.5982 11.91m
70 48.0625 4.62m
Iter Train Loss Remaining Time
1 24985.7760 8.09m
2 20773.9419 9.02m
3 17463.6048 9.48m
4 14789.2328 9.62m
300 21.3410 52.27s
5 12571.7196 10.03m
80 36.9068 4.27m
6 10750.5704 10.45m
60 72.1320 11.03m
7 9221.6930 10.79m
8 7941.2750 10.96m
9 6855.6495 11.10m
10 5925.4990 11.17m
90 30.5742 3.97m
70 46.6618 10.30m
100 27.0027 3.70m
80 33.8669 9.66m
20 1561.5311 11.69m
400 21.1285 22.76s
90 27.0634 9.12m
100 23.3272 8.59m
30 502.0615 11.61m
200 22.3786 1.80m
40 199.3646 11.05m
500 21.0092 0.00s
Iter Train Loss Remaining Time
1 25021.6896 8.93m
50 95.4609 10.47m
2 20835.7710 10.43m
3 17526.1435 12.23m
4 14839.6256 12.37m
5 12638.2405 13.02m
200 17.8201 4.96m
6 10814.9804 13.55m
7 9296.7809 13.60m
60 56.9711 9.96m
8 8015.2395 13.57m
9 6938.3806 13.35m
300 21.9346 56.61s
10 6010.9422 13.30m
70 39.9687 9.29m
80 31.3154 8.72m
20 1616.0356 13.14m
90 27.1442 8.16m
300 17.3479 3.39m
100 24.8758 7.66m
400 21.7141 24.28s
30 539.6462 12.67m
40 232.6719 11.94m
400 17.1078 2.50m
500 21.5750 0.00s
200 21.7523 4.41m
50 117.9093 11.04m
Iter Train Loss Remaining Time
1 24999.2894 7.17m
2 20789.2568 7.74m
3 17475.9851 8.07m
60 71.7952 10.31m
4 14799.2736 8.36m
5 12598.6426 8.60m
500 16.9526 1.87m
6 10778.4942 8.77m
7 9251.1068 8.95m
70 49.2073 9.70m
8 7968.7876 9.07m
9 6878.3810 9.17m
300 21.3335 3.05m
10 5953.7284 9.28m
80 37.6910 9.17m
90 30.7923 8.69m
600 16.8500 1.38m
100 26.8370 8.29m
400 21.1300 2.26m
20 1584.0322 9.66m
700 16.7858 58.34s
500 21.0063 1.71m
200 22.3513 4.83m
30 500.1524 9.50m
800 16.7397 37.05s
40 201.5031 8.89m
600 20.9302 1.28m
300 21.9137 3.30m
900 16.7089 17.91s
50 100.4724 8.34m
700 20.8830 55.36s
400 21.7035 2.46m
60 58.7630 7.74m
1000 16.6871 0.00s
70 41.6655 7.11m
800 20.8526 35.40s
500 21.5778 1.83m
80 31.1464 6.56m
Iter Train Loss Remaining Time
1 24941.9900 6.20m
2 20709.2219 6.65m
90 25.9323 6.05m
3 17376.3506 6.87m
4 14686.9749 7.05m
5 12487.8787 7.17m
6 10659.2393 7.38m
7 9129.9493 7.49m
8 7836.2641 7.64m
100 22.6947 5.66m
900 20.8323 17.08s
600 21.4932 1.35m
9 6750.2737 7.77m
10 5828.3996 7.79m
700 21.4366 57.05s
1000 20.8193 0.00s
20 1496.7007 8.23m
Iter Train Loss Remaining Time
1 24984.8964 6.74m
2 20775.6476 7.20m
3 17457.0160 7.50m
800 21.3976 36.16s
4 14782.1783 7.67m
30 467.3570 8.18m
5 12587.9275 7.77m
6 10765.4075 7.93m
7 9234.2133 8.13m
200 17.7916 2.81m
8 7949.6872 8.34m
9 6863.0643 8.44m
10 5943.4103 8.51m
40 181.1580 7.87m
900 21.3727 17.47s
50 90.9534 7.30m
20 1551.4453 9.19m
60 56.0056 6.65m
1000 21.3553 0.00s
300 17.3182 1.48m
70 40.9275 6.06m
30 487.8937 9.27m
Iter Train Loss Remaining Time
80 32.7370 5.56m
1 24999.2894 15.01m
2 20789.2568 16.13m
3 17475.9851 16.81m
4 14799.2736 17.38m
90 28.1626 5.19m
5 12598.6426 17.86m
6 10778.4942 18.26m
7 9251.1068 18.66m
8 7968.7876 18.97m
100 25.7516 4.85m
9 6878.3810 19.20m
40 198.4350 8.83m
10 5953.7284 19.37m
400 17.0836 38.43s
50 102.9626 8.23m
20 1584.0322 20.01m
60 66.0596 7.53m
70 48.1539 6.88m
500 16.9414 0.00s
200 21.7780 2.48m
80 38.5455 6.30m
Iter Train Loss Remaining Time
1 24941.8397 11.97m
30 500.1524 20.39m
2 20708.9895 13.31m
3 17376.5529 13.74m
4 14686.6036 14.03m
5 12487.6893 14.37m
90 32.5461 5.87m
6 10661.8849 14.68m
7 9132.8882 14.95m
8 7843.6743 15.16m
9 6758.4140 15.30m
10 5837.1460 15.44m
100 28.2256 5.53m
40 201.5031 19.88m
300 21.3443 1.33m
20 1501.0200 16.83m
50 100.4724 18.71m
60 58.7630 17.55m
30 470.6232 17.36m
70 41.6655 16.36m
200 22.3919 2.80m
400 21.1196 34.94s
40 182.8280 17.19m
80 31.1464 15.38m
90 25.9323 14.44m
50 91.2880 16.35m
100 22.6947 13.66m
60 55.9293 15.40m
500 20.9932 0.00s
300 21.9309 1.47m
Iter Train Loss Remaining Time
1 24984.8964 13.28m
70 38.8828 14.45m
2 20775.6476 14.11m
3 17457.0160 14.75m
4 14782.1783 14.98m
5 12587.9275 15.22m
80 31.5690 13.45m
6 10765.4075 15.80m
7 9234.2133 16.08m
8 7949.6872 16.21m
9 6863.0643 16.32m
10 5943.4103 16.42m
90 27.4190 12.54m
100 25.2042 11.75m
400 21.7144 37.81s
200 17.7916 7.96m
20 1551.4453 18.83m
500 21.5785 0.00s
30 487.8937 20.99m
300 17.3182 5.60m
200 21.7438 7.22m
40 198.4350 19.02m
50 102.9626 16.97m
300 21.3280 4.76m
60 66.0596 15.25m
400 17.0836 3.99m
70 48.1539 13.89m
80 38.5455 12.67m
90 32.5461 11.72m
400 21.1197 3.41m
100 28.2256 10.98m
500 16.9414 2.92m
500 20.9936 2.53m
600 16.8485 2.12m
200 22.3919 6.07m
600 20.9194 1.85m
700 16.7865 1.46m
300 21.9309 4.15m
700 20.8747 1.33m
800 16.7432 56.06s
400 21.7144 3.19m
800 20.8475 51.31s
900 16.7118 27.31s
500 21.5785 2.43m
900 20.8288 24.44s
1000 16.6893 0.00s
600 21.4900 1.81m
1000 20.8165 0.00s
700 21.4338 1.27m
800 21.3949 47.08s
900 21.3683 22.00s
1000 21.3515 0.00s
[Parallel(n_jobs=-1)]: Done 36 out of 36 | elapsed: 22.2min finished
Iter Train Loss Remaining Time
1 37922.0673 1.22m
2 31854.0276 1.29m
3 27062.0410 1.32m
4 23188.8934 1.34m
5 20024.7746 1.35m
6 17400.1412 1.36m
7 15224.4788 1.36m
8 13361.9403 1.36m
9 11788.1927 1.38m
10 10454.5125 1.41m
20 4207.2094 1.50m
30 2636.6558 1.44m
40 2027.3084 1.45m
50 1683.6651 1.45m
60 1432.3397 1.39m
70 1224.4566 1.34m
80 1049.9586 1.28m
90 910.8957 1.23m
100 788.1359 1.18m
200 235.9831 52.13s
300 92.7350 33.54s
400 54.4210 16.30s
500 44.2389 0.00s
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Content source: surajpaib/IndiaHacks-ML-Challenge
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