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edit approved Jan 4, 2020 at 16:15
Steffen Moritz
edit approved Jan 4, 2020 at 16:15
Steffen Moritz
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I'm a beginner in ML, and I want to practice with some algorithms I learned from the book, after searching stats.SE, I found some places where I can get some datasets. But I have this stupid question, how to use them?

For example, the Iris dataset from UCI contains 150 examples, 50 instances for each classes. OK, I thought I should take bulk of this dataset as training examples, spare rest of the dataset as test examples, right? And the problem is how should I divide this dataset? Shuffle them randomly and then draw the training examples randomly?

I think different training set will affect the model learned from it, right? Please give me some advice on how to use the dataset, thanks.

I'm a beginner in ML, and I want to practice with some algorithms I learned from the book, after searching stats.SE, I found some places where I can get some datasets. But I have this stupid question, how to use them?

For example, the Iris dataset from UCI contains 150 examples, 50 instances for each classes. OK, I thought I should take bulk of this dataset as training examples, spare rest of the dataset as test examples, right? And the problem is how should I divide this dataset? Shuffle them randomly and then draw the training examples randomly?

I think different training set will affect the model learned from it, right? Please give me some advice on how to use the dataset, thanks.

I'm a beginner in ML, and I want to practice with some algorithms I learned from the book, after searching stats.SE, I found some places where I can get some datasets. But, how to use them?

For example, the Iris dataset from UCI contains 150 examples, 50 instances for each classes. OK, I thought I should take bulk of this dataset as training examples, spare rest of the dataset as test examples, right? And the problem is how should I divide this dataset? Shuffle them randomly and then draw the training examples randomly?

I think different training set will affect the model learned from it, right? Please give me some advice on how to use the dataset, thanks.

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avocado
avocado
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How to use the datasets to practice machine learning algorithms?

I'm a beginner in ML, and I want to practice with some algorithms I learned from the book, after searching stats.SE, I found some places where I can get some datasets. But I have this stupid question, how to use them?

For example, the Iris dataset from UCI contains 150 examples, 50 instances for each classes. OK, I thought I should take bulk of this dataset as training examples, spare rest of the dataset as test examples, right? And the problem is how should I divide this dataset? Shuffle them randomly and then draw the training examples randomly?

I think different training set will affect the model learned from it, right? Please give me some advice on how to use the dataset, thanks.