May Thaw Tar
Art Classifier by May Thaw Tar
Parami University
Model Performance

Model comparison

Two convolutional architectures evaluated on the validation set. Higher is better on every metric.

Side-by-side metrics

Best: Deeper CNN
Metric Simple CNN Deeper CNN
Accuracy 0.8213 0.8493
F1 (weighted) 0.8171 0.8416
Precision (weighted) 0.8252 0.854
Recall (weighted) 0.8213 0.8493

Training curves

Accuracy and loss per epoch
Training Curves

Performance bar chart

Weighted metrics
Model Comparison

Confusion matrices

Validation set
Simple CNN confusion matrix
Deeper CNN confusion matrix