Target
No name set
Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz)
100 ms
256 kB
1024 kB
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General
F1-score
Precision
Recall
0.05 | 0.05 | -72
0.005 | 100 | 82%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| Data augmentation | |||
| conv1d | 16 | 3 | - |
| conv1d | 32 | 3 | - |
| conv1d | 64 | 3 | - |
| conv1d | 128 | 3 | - |
| dropout | - | - | 0.5 |
4/28/2023, 9:29:46 PM
0.032 | 0.016 | 32
0.005 | 100 | 81%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv1d | 8 | 3 | - |
| conv1d | 16 | 3 | - |
| conv1d | 32 | 3 | - |
| dropout | - | - | 0.5 |
4/28/2023, 9:26:48 PM
0.025 | 0.0125 | -32
0.005 | 100 | 78%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| Data augmentation | |||
| conv1d | 16 | 3 | - |
| conv1d | 32 | 3 | - |
| conv1d | 64 | 3 | - |
| dropout | - | - | 0.5 |
4/28/2023, 9:23:55 PM
0.025 | 0.025 | -72
0.005 | 100 | 78%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| Data augmentation | |||
| conv1d | 16 | 3 | - |
| conv1d | 32 | 3 | - |
| conv1d | 64 | 3 | - |
| conv1d | 128 | 3 | - |
| dropout | - | - | 0.5 |
4/28/2023, 9:27:45 PM
0.075 | 0.0375 | -72
0.005 | 100 | 78%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| Data augmentation | |||
| conv1d | 32 | 3 | - |
| conv1d | 64 | 3 | - |
| dropout | - | - | 0.25 |
4/28/2023, 9:29:50 PM
0.075 | 0.0375 | -32
0.005 | 100 | 73%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv2d | 8 | 3 | - |
| conv2d | 16 | 3 | - |
| dropout | - | - | 0.5 |
4/28/2023, 9:29:13 PM
0.032 | 0.032 | 32
0.005 | 100 | 73%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv1d | 32 | 3 | - |
| conv1d | 64 | 3 | - |
| conv1d | 128 | 3 | - |
| dropout | - | - | 0.5 |
4/28/2023, 9:32:55 PM
0.075 | 0.075 | -32
0.005 | 100 | 72%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv1d | 16 | 3 | - |
| conv1d | 32 | 3 | - |
| conv1d | 64 | 3 | - |
| conv1d | 128 | 3 | - |
| dropout | - | - | 0.25 |
4/28/2023, 9:25:56 PM
0.032 | 0.032 | 32
0.005 | 100 | 70%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv1d | 8 | 3 | - |
| conv1d | 16 | 3 | - |
| conv1d | 32 | 3 | - |
| dropout | - | - | 0.5 |
4/28/2023, 9:22:25 PM
0.025 | 0.025 | -52
0.005 | 100 | 70%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv1d | 32 | 3 | - |
| conv1d | 64 | 3 | - |
| dropout | - | - | 0.25 |
4/28/2023, 9:31:22 PM
0.05 | 0.025 | 32
0.005 | 100 | 69%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| Data augmentation | |||
| conv1d | 16 | 3 | - |
| conv1d | 32 | 3 | - |
| conv1d | 64 | 3 | - |
| conv1d | 128 | 3 | - |
| dropout | - | - | 0.5 |
4/28/2023, 9:27:39 PM
0.05 | 0.025 | 32
0.005 | 100 | 69%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv1d | 8 | 3 | - |
| conv1d | 16 | 3 | - |
| conv1d | 32 | 3 | - |
| conv1d | 64 | 3 | - |
| dropout | - | - | 0.5 |
4/28/2023, 9:25:30 PM
0.05 | 0.025 | 32
0.005 | 100 | 69%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| Data augmentation | |||
| conv1d | 8 | 3 | - |
| conv1d | 16 | 3 | - |
| dropout | - | - | 0.25 |
4/28/2023, 9:26:40 PM
0.032 | 0.016 | 32
0.005 | 100 | 69%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv1d | 8 | 3 | - |
| conv1d | 16 | 3 | - |
| conv1d | 32 | 3 | - |
| dropout | - | - | 0.5 |
4/28/2023, 9:30:54 PM
0.05 | 0.025 | -72
0.005 | 100 | 67%
| Type | Filters | Kernel | Rate |
|---|---|---|---|
| conv1d | 16 | 3 | - |
| conv1d | 32 | 3 | - |
| conv1d | 64 | 3 | - |
| conv1d | 128 | 3 | - |
| dropout | - | - | 0.25 |
4/28/2023, 9:26:00 PM