DATA ANALYSIS DEVICE AND DATA ANALYSIS METHOD

DATA ANALYSIS DEVICE AND DATA ANALYSIS METHOD

PROBLEM TO BE SOLVED: To provide a technique that allows a user to easily determine what kind of measures to take for a prediction result is effective.SOLUTION: A data analysis device 1 includes: a data set generation unit 124 for generating data of an explanatory variable input to a machine learnin...

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Hauptverfasser: OHAZAMA MITSUHARU, HANE TAKAYASU
Format: Patent
Sprache:eng ; jpn
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Zusammenfassung:PROBLEM TO BE SOLVED: To provide a technique that allows a user to easily determine what kind of measures to take for a prediction result is effective.SOLUTION: A data analysis device 1 includes: a data set generation unit 124 for generating data of an explanatory variable input to a machine learning model and inputting the generated data to the machine learning model to obtain data of a target variable; and a model evaluation unit 125 for calculating, based on the explanatory variable data generated by the data set generation unit 124 and the target variable data, a relationship between the explanatory variable and the target variable.SELECTED DRAWING: Figure 1 【課題】予測結果に対してどのような施策をとるのが効果的かをユーザが容易に判断できる技術を提供する。【解決手段】データ分析装置１は、機械学習モデルに入力する説明変数のデータを生成し、生成したデータを機械学習モデルに入力して目的変数のデータを得るデータセット生成部１２４と、データセット生成部１２４が生成した説明変数のデータと目的変数のデータとに基づいて、説明変数と目的変数との関係性を算出するモデル評価部１２５と、を備える。【選択図】図１