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It's never one word.
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∙ 12y ago
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What is one word for man who is always happy?
Joyous
What is a one word substitute for one who always wins?
The adjective would be invincible. (unbeatable)
There is one word in the English language that is always pronounced incorrectly What is it?
The question has 2 meanings 1. Which word is always pronounced wrong 2. Which word is always literally pronounced "incorrectly" Answer : 1. There is none 2. The word "incorrectly"
Is rail car one word or two words?
Yes, it has always been one word. The word was coined around the 1750s , when the first railways were being built.
Which are the two words are always written as one word?
They are called "compound words."
What is the maximum number of extents a dataset can allocate on one volume in VSAM dataset?
16
Define systemdata and its major classes?
There are 4 data set classes: 1) DataSet Constructor 2)DataSet Properties 3)DataSet Methods 4)DataSet Events
What is dataset?
A dataset is a group of information used to determain a hypothesis.
What is dataset in c sharp dotnet?
dataset is a ado.net object .it is adisconnected
How do you transfer data in XML format by using ado dot net?
Dim dataSet As DataSet = New DataSet dataSet.ReadXml("input.xml", XmlReadMode.ReadSchema) dataSet.WriteXml("output.xml", XmlWriteMode.WriteSchema)
What is an observation in a dataset?
It depends on the word usage (and what is being asked for). Usually, observation is the results of the experiment. In other words, experimental data. It can also refer to what the dataset shows you. For example, is there a significant deviation between the observed and expected results?
What does a data set means?
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.
What does a set means?
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.
What does data set mean?
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.
What is meant by dataset?
A data set (or dataset) is a collection of data, usually presented in tabular form.
How would you handle an imbalanced 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.
Math what is the range of the dataset-?
A
