bcueva/2024-24679-tabular-autolguon-predictor
Tabular Classification
•
Updated
Datasets:
Dataset Viewer
Cup_ID
stringlengths 7
7
| Capacity_ml
int64 155
586
| Height_cm
float64 7.6
19.8
| Diameter_cm
float64 5.1
9.9
| Weight_g
int64 52
783
| Material
stringclasses 4
values | Use_Type
stringclasses 2
values |
|---|---|---|---|---|---|---|
CUP_001
| 302
| 17.5
| 5.5
| 783
|
Stainless Steel
|
Hot
|
CUP_002
| 478
| 8
| 7.7
| 315
|
Ceramic
|
Hot
|
CUP_003
| 442
| 13.8
| 6.4
| 155
|
Glass
|
Hot
|
CUP_004
| 347
| 16.1
| 7.1
| 327
|
Glass
|
Hot
|
CUP_005
| 318
| 18.4
| 8.1
| 384
|
Ceramic
|
Hot
|
CUP_006
| 417
| 11.7
| 5.1
| 330
|
Glass
|
Hot
|
CUP_007
| 392
| 18
| 5.7
| 61
|
Plastic
|
Cold
|
CUP_008
| 236
| 10.6
| 6.4
| 52
|
Plastic
|
Cold
|
CUP_009
| 407
| 7.6
| 5.5
| 413
|
Stainless Steel
|
Hot
|
CUP_010
| 278
| 11.9
| 5.9
| 297
|
Glass
|
Hot
|
CUP_011
| 262
| 16.5
| 8.2
| 82
|
Plastic
|
Cold
|
CUP_012
| 424
| 12.4
| 8.7
| 612
|
Stainless Steel
|
Hot
|
CUP_013
| 269
| 19.7
| 9.8
| 770
|
Stainless Steel
|
Hot
|
CUP_014
| 476
| 15.9
| 6.9
| 240
|
Glass
|
Hot
|
CUP_015
| 170
| 10.4
| 8.6
| 90
|
Plastic
|
Cold
|
CUP_016
| 155
| 18.7
| 7.2
| 58
|
Plastic
|
Cold
|
CUP_017
| 586
| 13.2
| 5.9
| 622
|
Stainless Steel
|
Hot
|
CUP_018
| 513
| 16.8
| 8.6
| 703
|
Stainless Steel
|
Hot
|
CUP_019
| 441
| 19.7
| 7.1
| 209
|
Glass
|
Hot
|
CUP_020
| 306
| 16.9
| 9.1
| 98
|
Plastic
|
Cold
|
CUP_021
| 434
| 9.3
| 5.5
| 264
|
Ceramic
|
Hot
|
CUP_022
| 314
| 19.8
| 8.3
| 769
|
Stainless Steel
|
Hot
|
CUP_023
| 476
| 12.5
| 9.9
| 276
|
Ceramic
|
Hot
|
CUP_024
| 429
| 10.5
| 8.5
| 685
|
Stainless Steel
|
Hot
|
CUP_025
| 491
| 14.5
| 7.9
| 262
|
Ceramic
|
Hot
|
CUP_026
| 458
| 9.3
| 9.6
| 358
|
Stainless Steel
|
Hot
|
CUP_027
| 465
| 10.9
| 6.1
| 385
|
Glass
|
Hot
|
CUP_028
| 500
| 13.1
| 9.1
| 418
|
Stainless Steel
|
Hot
|
CUP_029
| 176
| 18
| 6.8
| 92
|
Plastic
|
Cold
|
CUP_030
| 298
| 15.4
| 5.1
| 260
|
Glass
|
Hot
|
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Size of downloaded dataset files:
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Number of rows:
360
Models trained or fine-tuned on yusenthebot/Tabular_Cups_Dataset