A dataset is a group of information used to determain a hypothesis.
There are 4 data set classes: 1) DataSet Constructor 2)DataSet Properties 3)DataSet Methods 4)DataSet Events
dataset is a ado.net object .it is adisconnected
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Dim dataSet As DataSet = New DataSet dataSet.ReadXml("input.xml", XmlReadMode.ReadSchema) dataSet.WriteXml("output.xml", XmlWriteMode.WriteSchema)
A data set (or dataset) is a collection of data, usually presented in tabular form.
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A. What is the important technical information about the dataset that a database administrator would be interested in? (Hint: Information about the size of the dataset and the nature of the variables)
From wikipedia:A dataset (or data set) is a collection of data.Most commonly a dataset corresponds to the contents of a single database table, or a single statistical data matrix, where every column of the table represents a particular variable, and each row corresponds to a given member of the dataset in question. The dataset lists values for each of the variables, such as height and weight of an object, for each member of the dataset. Each value is known as a datum. The dataset may comprise data for one or more members, corresponding to the number of rows.The term dataset may also be used more loosely, to refer to the data in a collection of closely related tables, corresponding to a particular experiment or event.
From wikipedia:A dataset (or data set) is a collection of data.Most commonly a dataset corresponds to the contents of a single database table, or a single statistical data matrix, where every column of the table represents a particular variable, and each row corresponds to a given member of the dataset in question. The dataset lists values for each of the variables, such as height and weight of an object, for each member of the dataset. Each value is known as a datum. The dataset may comprise data for one or more members, corresponding to the number of rows.The term dataset may also be used more loosely, to refer to the data in a collection of closely related tables, corresponding to a particular experiment or event.
From wikipedia:A dataset (or data set) is a collection of data.Most commonly a dataset corresponds to the contents of a single database table, or a single statistical data matrix, where every column of the table represents a particular variable, and each row corresponds to a given member of the dataset in question. The dataset lists values for each of the variables, such as height and weight of an object, for each member of the dataset. Each value is known as a datum. The dataset may comprise data for one or more members, corresponding to the number of rows.The term dataset may also be used more loosely, to refer to the data in a collection of closely related tables, corresponding to a particular experiment or event.
A dataset.
An imbalanced dataset is when you have, for example, a classification test and 90% of the data is in one class. That leads to problems: an accuracy of 90% can be skewed if you have no predictive power on the other category of data! Here are a few tactics to get over the hump:1- Collect more data to even the imbalances in the dataset.2- Resample the dataset to correct for imbalances.3- Try a different algorithm altogether on your dataset.What’s important here is that you have a keen sense for what damage an unbalanced dataset can cause, and how to balance that.