Introductions: dataset dowload link:https://challenger.ai
data_preprocess.py : There are many methods to process data.
classifier_1_svm.py : binary classification {0(-2), 1(-1,0,1)}.
classifier_2_svm.py : binary classification {0(-1,0), 1(1)}.
classifier_3_svm.py : binary classification {-1,0}.
evaluate.py : use validationset to evaluate these models,generate validation files accordding to samples format.
f1_score.py : calculate F1_measure.
predict_20label.py : predict testaset and submit.
2018 AIChallenger 全球AI挑战赛
| class | -2 | -1 | 0 | 1 |
|---|---|---|---|---|
| location_traffic_convenience | 81382 | 1318 | 1046 | 21254 |
| location_distance_from_business_district | 83680 | 586 | 533 | 20201 |
| location_easy_to_find | 80605 | 3976 | 2472 | 17947 |
| service_wait_time | 92763 | 3034 | 4382 | 4821 |
| service_waiters_attitude | 42410 | 8684 | 12534 | 41372 |
| service_parking_convenience | 98276 | 1323 | 1456 | 3945 |
| service_serving_speed | 88700 | 5487 | 2379 | 8434 |
| price_level | 52820 | 12375 | 24249 | 15556 |
| price_cost_effective | 80242 | 3011 | 3072 | 18675 |
| price_discount | 64243 | 1716 | 18255 | 20786 |
| environment_decoration | 53916 | 2139 | 9492 | 39453 |
| environment_noise | 73445 | 3077 | 4843 | 23635 |
| environment_space | 65398 | 5706 | 9262 | 24634 |
| environment_cleaness | 66598 | 4513 | 4703 | 29186 |
| dish_portion | 56917 | 10018 | 9506 | 28559 |
| dish_taste | 5070 | 4363 | 40200 | 55367 |
| dish_look | 75975 | 3178 | 4675 | 21172 |
| dish_recommendation | 84767 | 2275 | 1988 | 15970 |
| others_overall_experience | 2110 | 9384 | 23436 | 70070 |
| others_willing_to_consume_again | 65600 | 4159 | 2913 | 32328 |
