1. An information processing apparatus comprising: combination generating means for getting a first feature quantity of N dimensions, N being an integer of at least two, from first information prepared for execution of learning and using said first feature quantity of N dimensions to generate at least two of first feature quantity combination that are not greater than N dimensions of said first feature quantity; and learning processing executing means for computing a correlation coefficient between said plurality of first feature quantity combinations generated by said combination generating means and a learning model feature quantity matching each dimension of said plurality of first feature quantity combinations and, by use of said first correlation coefficient, classifying said first information, thereby executing learning processing for classifying predetermined second information.