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I used logistic regression to classify 3 classes of images: cars, dogs, cows. The accuracy is 100%, perfectly separated in clusters (scatter plots). When I try to use the learner to predict 3 images (1 dog, 1 car, 1 cow), the predictor simply assign the probability of 1/3 to each image. How can I fix it?
It means that the model you are using fails at classifying the images. Logistic regression may not be the good one for your classification. Try using another model.
