The nutritional status of toddlers is an important indicator in assessing public health quality, especially among children. Nutrition problems in toddlers are still a challenge for the Indonesian nation, including the high prevalence of stunting, underweight, and wasting. These various nutritional problems can be one of the factors that inhibit Indonesia's chances of becoming a developed country. Kediri Regency is one of the regions in East Java, Indonesia that has a high rate of malnutrition status. The nutritional status of toddlers in Kediri Regency which has a prevalence rate lower than the average prevalence of East Java is in stunting incidence. Meanwhile, the prevalence of other malnutrition events, such as wasting, underweight, and overweight is still above the average prevalence rate in East Java. This study was conducted aims to model and predict the nutritional status of toddlers in Kediri Regency, especially Ngasem District so that later appropriate policies can be made for the control of malnutrition problems in Kediri Regency using ordinal logistic regression approach. The developed model shows good performance in predicting nutritional status with classification accuracy of 74.41% on insample data and 73.81% on outsample data. In addition, the Macro AUC value of 71.56% shows that this model has a good ability to distinguish between different classes of nutritional status, with a classification error of 28.44%. The nonparametric ordinal logistic regression model developed in this study showed good results in the classification of the nutritional status of children under five.