Back to Home
Softmax Regression
Multiclass classification with multinomial logistic regression
Training Configuration
3 classes · loss 0.0084 · accuracy 100.0%
Add Point
| x | y | label | |
|---|---|---|---|
| 1 | 1 | A | |
| 1.5 | 2 | A | |
| 2 | 1 | A | |
| 6 | 6 | B | |
| 6.5 | 5 | B | |
| 5.5 | 6.5 | B | |
| 1 | 6 | C | |
| 2 | 6.5 | C | |
| 1.5 | 5.5 | C |
A
B
C
Training Metrics
100.0%
Accuracy
100.0%
Precision (macro)
100.0%
Recall (macro)
100.0%
F1 (macro)
Confusion Matrix
| actual ＼ pred | A | B | C |
|---|---|---|---|
| A | 3 | 0 | 0 |
| B | 0 | 3 | 0 |
| C | 0 | 0 | 3 |