摘要:
Provided is an explanatory variable display priority order determination system that can determine a display priority order for explanatory variables provided for estimated value calculation and can display the explanatory variables. A display priority order determination means 73 determines the display priority order of the explanatory variables to be used in estimation of a value by an estimation formula on the basis of a residual as an estimation amount of an error between an estimated value by the estimation formula and a measured value. At this time, the display priority order determination means 73 determines the display priority order of the explanatory variables on the basis of magnitude of an influence of the explanatory variables on the residual. A display means 74 displays the explanatory variables according to the display priority order.
摘要:
An estimation results display system that, in the case of displaying an estimation result derived using a learning model, enables persons to recognize how condition determination is performed to select the learning model is provided. Input means 91 receives input of information associating information indicating a learning model selected depending on a determination result of whether or not an attribute in estimation data including one or more types of attributes satisfies one or more types of conditions and an estimation result derived using the learning model. Display means 92 displays the estimation result, in association with the information indicating the learning model used for deriving the estimation result and a condition subjected to determination of whether or not satisfied by the attribute in the estimation data when selecting the learning model.
摘要:
An estimation results display system capable of displaying an estimation result so that persons can intuitively recognize at a glance which learning model is selected when deriving the estimation result is provided. Input means 2 receives input of information associating an estimation result and information indicating a learning model used when deriving the estimation result. Display means 3 displays a graph that represents the estimation result by a symbol and in which a type of the symbol is changed depending on the learning model corresponding to the estimation result.
摘要:
A classification axis allocating means 81 is a visualizing device that visualizes a classification model in which classification conditions for classifying classification target data are represented in a hierarchical structure, and allocates classification axes to respective dimensional axes of a multidimensional space in accordance with priority levels of the classification axes to be used for the classification conditions. A region splitting means 82 splits the dimensional axes, based on types of the allocated classification axes, and allocates classification target data to respective regions on the multidimensional space to be split in accordance with the split dimensional axes. A display means 83 displays the classification target data allocated to the respective regions of the multidimensional space.
摘要:
Inference results for which each user does not have detailed knowledge are presented with priority. An information processing device 1 includes: an inference unit 104 that obtains inference results by applying inference rules to context information; an inference result index value calculation unit 105 that calculates, on the basis of a knowledge level of a reading user about each inference rule used in an inference process, index values that show depth of knowledge of the reading user about the inference results comprehensively; an inference result presentation unit 106 that presents the inference results on the basis of the index values; and an knowledge level update unit 109 that updates the knowledge level of the reading user about each inference rule used in the inference process on the basis of evaluation information acquired.