its part of your train data........You are provided with data from four fields on which to train your model. You will need to predict, in 5-minute increments, the last four days for soil humidities in fields 1 and 3 and you will need to predict, in 5-minute increments, the last six days for soil humidities in fields 2 and 4.
You will see that in the Train.csv there are missing values for the last 4/6 days (depending on which field). You will need to predict the soil humidities for these last 4/6 days. We refer to the last 4/6 days as the test set.
In the train.csv, there are missing values from the date 3/25/2019 for the field 1 and from 4/19/2019 for the field 3 . I mean there are missing values not only for the last 4 days concerning field 1 and 3.
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its part of your train data........You are provided with data from four fields on which to train your model. You will need to predict, in 5-minute increments, the last four days for soil humidities in fields 1 and 3 and you will need to predict, in 5-minute increments, the last six days for soil humidities in fields 2 and 4.
Hello mooby,
You will see that in the Train.csv there are missing values for the last 4/6 days (depending on which field). You will need to predict the soil humidities for these last 4/6 days. We refer to the last 4/6 days as the test set.
Hope this helps.
Hello,
In the train.csv, there are missing values from the date 3/25/2019 for the field 1 and from 4/19/2019 for the field 3 . I mean there are missing values not only for the last 4 days concerning field 1 and 3.
hello ,
But how we can use that context data in our train dataset ?