| data: | |
| root: data | |
| metadata: data/metadata.csv | |
| enforce_hashes: true | |
| min_clips_per_device: 1 | |
| include_devices: | |
| - audio | |
| - audio2 | |
| - audio9 | |
| - iphone | |
| - laptop | |
| splits: | |
| - train | |
| device_defaults: | |
| iphone: | |
| source: "In-house recordings" | |
| license: "Private use" | |
| laptop: | |
| source: "In-house recordings" | |
| license: "Private use" | |
| audio: | |
| source: "TAU Urban Acoustic Scenes 2019 Mobile" | |
| license: "CC-BY 4.0" | |
| audio2: | |
| source: "TAU Urban Acoustic Scenes 2019 Mobile" | |
| license: "CC-BY 4.0" | |
| audio9: | |
| source: "TAU Urban Acoustic Scenes 2019 Mobile" | |
| license: "CC-BY 4.0" | |
| training: | |
| test_size: 0.25 | |
| random_state: 42 | |
| classifier: | |
| max_depth: 10 | |
| max_iter: 400 | |
| learning_rate: 0.08 | |
| reporting: | |
| metrics_path: reports/metrics.json | |
| confusion_matrix_path: reports/confusion_matrix.png | |
| runs_dir: reports/runs | |
| tag: baseline | |