# Model Evaluation Report
## Model: simpler_cnn
- Test accuracy: 0.8286
```
precision recall f1-score support
No Overlay 0.87 0.90 0.89 154
Has Overlay 0.70 0.62 0.66 56
accuracy 0.83 210
macro avg 0.78 0.76 0.77 210
weighted avg 0.82 0.83 0.83 210
```

### False Positive Images:
### False Negative Images:
## Model: mobilenetv2
- Test accuracy: 0.7381
```
precision recall f1-score support
No Overlay 0.74 0.99 0.85 154
Has Overlay 0.67 0.04 0.07 56
accuracy 0.74 210
macro avg 0.70 0.51 0.46 210
weighted avg 0.72 0.74 0.64 210
```

### False Positive Images:
### False Negative Images:
## Model: resnet50
- Test accuracy: 0.9619
```
precision recall f1-score support
No Overlay 0.95 1.00 0.97 154
Has Overlay 1.00 0.86 0.92 56
accuracy 0.96 210
macro avg 0.98 0.93 0.95 210
weighted avg 0.96 0.96 0.96 210
```

### False Positive Images:
### False Negative Images: