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Changed phrasing and corrected capitalization issues
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edit approved Mar 22, 2019 at 16:38
Ethan
edit approved Mar 22, 2019 at 16:38
Ethan
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I have a problem deciding what to use since i'm just beginning into creating predictive models. 

Let's say iI have a traintraining dataset ofwith 5 or 6 features, and a testtesting dataset with. (With around 50k rows in training / 5k in testtesting). my data pointsMy samples are people that i wantI would like to assign to types of products they would buy. ( moremore than 2 classes  ).

I'd like to know the whole process of what to use, and based on what exactly. Also, is there a serious difference between the results rendered by an ANN and other classifiers on this type of classification?

Note  : I have 10 possible classes in the output!

Thanks in advance.

I have a problem deciding what to use since i'm just beginning in creating predictive models. Let's say i have a train dataset of 5 or 6 features, a test dataset with around 50k rows in training / 5k in test. my data points are people that i want to assign to types of products they would buy ( more than 2 classes  ).

I'd like to know the whole process of what to use, and based on what exactly. Also is there a serious difference between the results rendered by an ANN and other classifiers on this type of classification?

Note  : I have 10 possible classes in the output!

Thanks in advance.

I have a problem deciding what to use since i'm just beginning to creating predictive models. 

Let's say I have a training dataset with 5 or 6 features and a testing dataset. (With around 50k rows in training / 5k in testing). My samples are people that I would like to assign to types of products they would buy. (more than 2 classes).

I'd like to know the whole process of what to use, and based on what exactly. Also, is there a serious difference between the results rendered by an ANN and other classifiers on this type of classification?

Note: I have 10 possible classes in the output

Thanks in advance.

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Blenz
Blenz
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Supervised multiclass classification : is ANN a good idea ? or use other classifiers?

I have a problem deciding what to use since i'm just beginning in creating predictive models. Let's say i have a train dataset of 5 or 6 features, a test dataset with around 50k rows in training / 5k in test. my data points are people that i want to assign to types of products they would buy ( more than 2 classes ).

I'd like to know the whole process of what to use, and based on what exactly. Also is there a serious difference between the results rendered by an ANN and other classifiers on this type of classification?

Note : I have 10 possible classes in the output!

Thanks in advance.