An abnormal noise evaluation system that evaluates whether there is abnormal noise from an object to be evaluated including a rotating body mounted on a vehicle, the abnormal noise evaluation system comprising: an analysis device configured to acquire running noise of the vehicle and analyze the running noise of the vehicle to generate analysis data, wherein the analysis device is configured to acquire the running noise of the vehicle at a plurality of rotational speeds of the rotating body and perform a frequency analysis of the running noise of the vehicle for each rotational speed to generate, as the analysis data, sound pressure data representing a sound pressure at each rotational speed and each frequency; a feature generation unit configured to extract a rotational order component of the running noise of the vehicle from the analysis data and generate features for each rotational order of the running noise of the vehicle based on the extracted rotational order component, wherein the feature generation unit is configured to extract the rotational order component from the sound pressure data, and wherein the feature generation unit is configured to derive for each rotational order a tendency of a first relationship that is a relationship between the rotational speed and the sound pressure from the sound pressure data, derive a tendency of a second relationship that is a relationship between the rotational speed and the sound pressure at an octave center frequency from the sound pressure data, and compare the tendency of the first relationship and the tendency of the second relationship for each rotational order to produce each comparison result as the features for each rotational order of the running noise of the vehicle; a learning unit configured to generate a learning model as training data, using a combination of the features for each rotational order and an evaluation result, the features for each rotational order being generated by the analysis device and the feature generation unit for a learning obj ect that is of the same type as the obj ect to be evaluated, the evaluation result being given in advance to the learning object; an evaluation unit configured to evaluate whether there is abnormal noise from the object to be evaluated by applying the features for each rotational order generated by the analysis device and the feature generation unit for the object to be evaluated to the learning model; and an output unit configured to output an evaluation result obtained by the evaluation unit. an analysis device configured to acquire running noise of the vehicle and analyze the running noise of the vehicle to generate analysis data, wherein the analysis device is configured to acquire the running noise of the vehicle at a plurality of rotational speeds of the rotating body and perform a frequency analysis of the running noise of the vehicle for each rotational speed to generate, as the analysis data, sound pressure data representing a sound pressure at each rotational speed and each frequency; a feature generation unit configured to extract a rotational order component of the running noise of the vehicle from the analysis data and generate features for each rotational order of the running noise of the vehicle based on the extracted rotational order component, wherein the feature generation unit is configured to extract the rotational order component from the sound pressure data, and wherein the feature generation unit is configured to derive for each rotational order a tendency of a first relationship that is a relationship between the rotational speed and the sound pressure from the sound pressure data, derive a tendency of a second relationship that is a relationship between the rotational speed and the sound pressure at an octave center frequency from the sound pressure data, and compare the tendency of the first relationship and the tendency of the second relationship for each rotational order to produce each comparison result as the features for each rotational order of the running noise of the vehicle; a learning unit configured to generate a learning model as training data, using a combination of the features for each rotational order and an evaluation result, the features for each rotational order being generated by the analysis device and the feature generation unit for a learning obj ect that is of the same type as the obj ect to be evaluated, the evaluation result being given in advance to the learning object; an evaluation unit configured to evaluate whether there is abnormal noise from the object to be evaluated by applying the features for each rotational order generated by the analysis device and the feature generation unit for the object to be evaluated to the learning model; and an output unit configured to output an evaluation result obtained by the evaluation unit.