Please refer to the 'O' and '1' classification example to answer this question. Mary developed a classifier to detect cat from dog images. She used the average distance of the eyes to the nose as an attribute representing each image sample. She is planning to develop the following classifier: If attribute>threshold image => dog else image => cat. To determine the parameter of her classifier (i.e., threshold), Mary changed the threshold value from 0 to 60 and plotted the following figure. Select the incorrect statement. 100 50 00 70 Percent Correct % Correct Cat % Correct Dog Overall Accuracy 10 20 30 40 Threshold She should select the threshold as 25 because the accuracy for detecting dog images is 100% around this threshold. She should select the threshold as 34 because the overall accuracy is the highest around this threshold. She should report that the best classification accuracy achieved with this classifier is about 83%