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FAQ
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Model Creation and Prediction Accuracy
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Are empty string and zeros treated the same for numeric variables?
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How do I set up to categorize numeric data?
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How do I specify more future time periods in a time series prediction?
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How do I specify my own evaluation data?
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I cannot click "Create Prediction Model" after selecting the variable I want to predict
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I don’t know how to prepare a data set
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Sometimes learning starts and stays [Data Loading] and doesn't progress after a few minutes
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The prepared data cannot be loaded into Easy Predictive Analytics or is not loaded correctly.
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What character code should I specify for the data file?
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What is the format of the dataset?
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When creating a dataset, if there are values that cannot be retrieved (in the presence of a missing value), how should I record the data?
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Why does character corruption occur even though the character code of the data file is Shift_JIS?
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In some cases, the mean error ratio and the median absolute error ratio may not be calculated.
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Are empty string and zeros treated the same for numeric variables?
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Details of each message and how to respond
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Cannot import data because there is only one variable.
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Cannot perform data joining because of differences between training and evaluation data variables.
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Data cannot be imported because it is not in a supported file format.
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Data cannot be imported because the character encoding is not supported.
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Data cannot be imported because there are multiple variables with the same name.
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Data cannot be imported because there are rows with a different number of variables.
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Data cannot be loaded because it contains data for time intervals that are not supported.
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Data cannot be read because it contains duplicate times.
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It is unavailable prediction types for the prediction target because of the data type and unique label counts.
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Prediction not available due to lack of a valid license.
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Some features are limited due to lack of a valid license.
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The data cannot be imported because there are too many variables.
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The data cannot be read because there is a date and time that are not within the supported time period.
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The number of unique values contained in the variable to be predicted exceeds the number of values that can be handled by the specified prediction type.
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The prediction model creation feature is not available due to lack of a valid license.
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The training process cannot be performed due to insufficient data.
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The variables in the training data and evaluation data must match exactly / The variables in the training data and prediction data must match exactly
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There is too little data in the evaluation data that contains the correct value available for the variable you want to predict.
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Too much missing data for the variable you want to predict.
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Unable to read data due to a long period of no data.
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Cannot import data because there is only one variable.
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Model Creation and Prediction Accuracy
How do I set up to categorize numeric data?
To treat multiple numeric values such as 1, 2, and 3 as a classification problem instead of regression, set them as follows:
Step 1. Load the target dataset.
Step 2. Please check [Advanced Settings] on the prediction model creation screen.
Step 3. Change Prediction Type to "multiclass classification" or "binary classification."
