To realize a machine learning device with which it is possible to perform additional learning of a classifier used for classifying goods before the classification accuracy of the classifier degrades.SOLUTION: A machine learning device 1 for causing machine learning to be exercised by a classifier set (101) consisting of a plurality of classifiers for classifying the states of goods belonging to each of a plurality of groups referring to an image including the goods as a subject, comprises: an evaluation unit (102) for evaluating, for each group, the classification accuracy of each classifier included in the classifier set; and a learning control unit (103) which, when the classification accuracy of at least one classifier included in the classifier set does not reach a predetermined standard, causes a classifier, except the at least one classifier, that is included in the classifier set to exercise additional learning before the classifier set executes a classification process on goods that belong to the next group.SELECTED DRAWING: Figure 2
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