| { | |
| "name": "3D_Estimation_using_RSSI_of_WLAN_dataset", | |
| "n_num_features": 6, | |
| "n_cat_features": 0, | |
| "train_size": 3686, | |
| "val_size": 922, | |
| "test_size": 1152, | |
| "source": "https://www.openml.org/search?type=data&status=active&id=45718&sort=runs", | |
| "task_intro": "3D Location Estimation using RSSI of WLAN dataset.The 3D Location Estimation Using RSSI of Wireless LAN challengeaims to develop an AI/ML-based localization algorithm that canaccurately estimate the position of a receiver based on RSS informationfrom surrounding radio transmitters including height information(enabling the estimation of the target's 3D location).", | |
| "task_type": "regression", | |
| "openml_id": 45718, | |
| "n_classes": 1, | |
| "num_feature_intro": { | |
| "UnixTime": "UnixTime", | |
| "Latitude": "Latitude", | |
| "Longitude": "Longitude", | |
| "Frequency": "Frequency", | |
| "Channel": "Channel", | |
| "RSSI": "RSSI" | |
| }, | |
| "cat_feature_intro": {} | |
| } |