Hemisphere Classification on Mona Lisa

100ROC-AUCRandom Forest

Evaluation Results

Method
Random Forest2025.09	100	96	100	90	95	100	90	0.91
Random Forest2025.09	100	100	100	100	100	100	100	1
Random Forest2025.09	100	100	100	100	100	100	100	1
Random Forest2025.09	100	100	100	100	100	100	100	1
Random Forest2025.09	100	98	95	100	98	96	100	0.96
SVM (RBF)2025.09	100	94	95	90	93	96	90	0.87
SVM (RBF)2025.09	100	96	100	90	95	100	90	0.91
SVM (RBF)2025.09	100	100	100	100	100	100	100	1
SVM (RBF)2025.09	100	100	100	100	100	100	100	1
SVM (RBF)2025.09	100	98	95	100	98	96	100	0.96
SVM (Linear)2025.09	100	100	100	100	100	100	100	1
SVM (Linear)2025.09	100	100	100	100	100	100	100	1
SVM (Linear)2025.09	100	100	100	100	100	100	100	1
SVM (Linear)2025.09	100	100	100	100	100	100	100	1
SVM (Linear)2025.09	100	100	100	100	100	100	100	1
Deep Neural Network (RMSprop)2025.09	100	98	100	95	98	100	95	0.96
Deep Neural Network (RMSprop)2025.09	100	100	100	100	100	100	100	1
Deep Neural Network (RMSprop)2025.09	100	100	100	100	100	100	100	1
Deep Neural Network (RMSprop)2025.09	100	100	100	100	100	100	100	1
Deep Neural Network (RMSprop)2025.09	100	98	100	95	98	100	95	0.96
Small machine learning model2025.09	99.15	—	—	—	—	—	—	—
Big machine learning model2025.09	98.76	—	—	—	—	—	—	—
Big machine learning model2025.09	98.72	—	—	—	—	—	—	—
Small machine learning model2025.09	98.64	—	—	—	—	—	—	—
Small machine learning model2025.09	97.9	—	—	—	—	—	—	—
Small machine learning model2025.09	97.09	—	—	—	—	—	—	—
Convolutional Neural Network (CNN)2025.09	96.72	—	—	—	—	—	—	—
Small machine learning model2025.09	96.6	—	—	—	—	—	—	—
Big machine learning model2025.09	96.53	—	—	—	—	—	—	—
Big machine learning model2025.09	95.29	—	—	—	—	—	—	—
Big machine learning model2025.09	94.39	—	—	—	—	—	—	—
Convolutional Neural Network (CNN)2025.09	93.69	—	—	—	—	—	—	—
Convolutional Neural Network (CNN)2025.09	89.72	—	—	—	—	—	—	—
Convolutional Neural Network (CNN)2025.09	89.6	—	—	—	—	—	—	—
Convolutional Neural Network (CNN)2025.09	88.91	—	—	—	—	—	—	—