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TRANSPORTATION MEANS PREDICTION MODEL GENERATION DEVICE, TRANSPORTATION MEANS PREDICTION MODEL GENERATION METHOD AND TRANSPORTATION MEANS PREDICTION MODEL GENERATION PROGRAM
TRANSPORTATION MEANS PREDICTION MODEL GENERATION DEVICE, TRANSPORTATION MEANS PREDICTION MODEL GENERATION METHOD AND TRANSPORTATION MEANS PREDICTION MODEL GENERATION PROGRAM
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机译:运输工具预测模型生成装置,运输工具预测模型生成方法和运输工具预测模型生成程序
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摘要
PROBLEM TO BE SOLVED: To generate a prediction model capable of predicting the determination of transportation means by a user with higher accuracy even in the situation where right-answer data is not sufficiently given.SOLUTION: A case generation function 20 classifies segments stored in a segment DB 50 into a training case collection T with right-anser labels and a non-labeled case collection U without right-answer labels. A prediction model generation function 30 generates a prediction model C from the training case collection T, predicts a label to be applied to each case in the non-labeled case collection U, calculates certainty of the predicted label, adds cases of which the certainty is equal to or higher than a threshold value , to the training case collection T and generates a new prediction model C iteratively until an end condition is satisfied. Thus, even in the situation where right-answer data is not sufficiently given, the prediction model is generated by using data to which the right-answer label is not given, such that prediction accuracy of the prediction model can be improved and that transportation mode determination accuracy of a user can be improved.
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