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How to use scikit learn train test split
How to split train/test in recommender systemsHow to use Cohen's Kappa as the evaluation metric in GridSearchCV in Scikit Learn?Running examples from scikit-learn tutorialsConvolutional Neural Network not learning EEG dataSoftmax: Different output scikit-learn and TensorFlowWays to Make Feature Values Relative for Each ParticipantTrain Test Split for overlapping samplesHow to use scikit-learn normalize data to [-1, 1]?How much data to use for feature selection?SciKit-Learn Decision Tree Overfitting
$begingroup$
Is there a command within scikit-learn that allows for splitting based on participant? I have 50 participants x 90 trials each, but we want to test on unseen data as a way of assessing overfit.
machine-learning
edited 19 mins ago
Ethan
566222
asked 11 hours ago
AndrewAndrew
1
New contributor
Andrew is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
Is there a command within scikit-learn that allows for splitting based on participant? I have 50 participants x 90 trials each, but we want to test on unseen data as a way of assessing overfit.
machine-learning
edited 19 mins ago
Ethan
566222
asked 11 hours ago
AndrewAndrew
1
New contributor
Andrew is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
$begingroup$
What do you mean by "splitting based on participant?"
$endgroup$
– Ethan
11 hours ago
$begingroup$
@Ethan As in, I would like to split based on participant IDs and then classify exercises. For example, if I wanted to do a 50/50 train/test split, then I would have 25 participants data in the training, then test on the other 25 participants data.
$endgroup$
– Andrew
8 hours ago
add a comment |
$begingroup$
Is there a command within scikit-learn that allows for splitting based on participant? I have 50 participants x 90 trials each, but we want to test on unseen data as a way of assessing overfit.
machine-learning
edited 19 mins ago
Ethan
566222
asked 11 hours ago
AndrewAndrew
1
New contributor
Andrew is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
Is there a command within scikit-learn that allows for splitting based on participant? I have 50 participants x 90 trials each, but we want to test on unseen data as a way of assessing overfit.
machine-learning
machine-learning
edited 19 mins ago
Ethan
566222
asked 11 hours ago
AndrewAndrew
1
New contributor
Andrew is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 19 mins ago
Ethan
566222
asked 11 hours ago
AndrewAndrew
1
New contributor
Andrew is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 19 mins ago
Ethan
566222
edited 19 mins ago
Ethan
566222
edited 19 mins ago
Ethan
566222
566222
asked 11 hours ago
AndrewAndrew
1
New contributor
Andrew is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 11 hours ago
AndrewAndrew
1
asked 11 hours ago
AndrewAndrew
1
1
New contributor
Andrew is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Andrew is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Andrew is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$begingroup$
What do you mean by "splitting based on participant?"
$endgroup$
– Ethan
11 hours ago
$begingroup$
@Ethan As in, I would like to split based on participant IDs and then classify exercises. For example, if I wanted to do a 50/50 train/test split, then I would have 25 participants data in the training, then test on the other 25 participants data.
$endgroup$
– Andrew
8 hours ago
add a comment |
$begingroup$
What do you mean by "splitting based on participant?"
$endgroup$
– Ethan
11 hours ago
$begingroup$
@Ethan As in, I would like to split based on participant IDs and then classify exercises. For example, if I wanted to do a 50/50 train/test split, then I would have 25 participants data in the training, then test on the other 25 participants data.
$endgroup$
– Andrew
8 hours ago
$begingroup$
What do you mean by "splitting based on participant?"
$endgroup$
– Ethan
11 hours ago
$begingroup$
What do you mean by "splitting based on participant?"
$endgroup$
– Ethan
11 hours ago
$begingroup$
@Ethan As in, I would like to split based on participant IDs and then classify exercises. For example, if I wanted to do a 50/50 train/test split, then I would have 25 participants data in the training, then test on the other 25 participants data.
$endgroup$
– Andrew
8 hours ago
$begingroup$
@Ethan As in, I would like to split based on participant IDs and then classify exercises. For example, if I wanted to do a 50/50 train/test split, then I would have 25 participants data in the training, then test on the other 25 participants data.
$endgroup$
– Andrew
8 hours ago
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
To split data into Training and Test sets in scikit-learn you can use the train_test_split function.
To implement this:
from sklearn.model_selection import train_test_split
sklearn.model_selection.train_test_split()
Then pass through the arguments that you would like to set as parameters. Some parameters of note you may like to tune are the sizes of the training and test sets as well as setting if the splits are shuffled or not.
You can read about this further on its scikit-learn documentation page here.
answered 11 hours ago
EthanEthan
566222
$endgroup$
$begingroup$
Yes, I am using that function. I don't think stratify is the correct parameter since all that is doing it looking to make sure proportions stay the same. I just want to split participant data as being used for training only or testing only.
$endgroup$
– Andrew
6 hours ago
$begingroup$
train_test_split will by default, do a 75% training 25% testing split. Is this what you want to change? I am not sure I understand your question.
$endgroup$
– Ethan
4 hours ago
$begingroup$
No, I want to split based on participants. Currently it randomly splits so all 50 participants are very likely going to be included in the training and testing portions.
$endgroup$
– Andrew
49 mins ago
$begingroup$
I want to do a 50% train split with the additional parameter that participants are mutually excluded to either the train or test split. So there are 25 participants worth of data on the train side and 25 participants worth of data on the test side. Basically, is there an easy way to randomize 50 participants into two groups? It seems like the answer is no and requires a custom script.
$endgroup$
– Andrew
17 mins ago
add a comment |
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1 Answer
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1 Answer
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active
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active
oldest
votes
$begingroup$
To split data into Training and Test sets in scikit-learn you can use the train_test_split function.
To implement this:
from sklearn.model_selection import train_test_split
sklearn.model_selection.train_test_split()
Then pass through the arguments that you would like to set as parameters. Some parameters of note you may like to tune are the sizes of the training and test sets as well as setting if the splits are shuffled or not.
You can read about this further on its scikit-learn documentation page here.
answered 11 hours ago
EthanEthan
566222
$endgroup$
$begingroup$
Yes, I am using that function. I don't think stratify is the correct parameter since all that is doing it looking to make sure proportions stay the same. I just want to split participant data as being used for training only or testing only.
$endgroup$
– Andrew
6 hours ago
$begingroup$
train_test_split will by default, do a 75% training 25% testing split. Is this what you want to change? I am not sure I understand your question.
$endgroup$
– Ethan
4 hours ago
$begingroup$
No, I want to split based on participants. Currently it randomly splits so all 50 participants are very likely going to be included in the training and testing portions.
$endgroup$
– Andrew
49 mins ago
$begingroup$
I want to do a 50% train split with the additional parameter that participants are mutually excluded to either the train or test split. So there are 25 participants worth of data on the train side and 25 participants worth of data on the test side. Basically, is there an easy way to randomize 50 participants into two groups? It seems like the answer is no and requires a custom script.
$endgroup$
– Andrew
17 mins ago
add a comment |
$begingroup$
To split data into Training and Test sets in scikit-learn you can use the train_test_split function.
To implement this:
from sklearn.model_selection import train_test_split
sklearn.model_selection.train_test_split()
Then pass through the arguments that you would like to set as parameters. Some parameters of note you may like to tune are the sizes of the training and test sets as well as setting if the splits are shuffled or not.
You can read about this further on its scikit-learn documentation page here.
answered 11 hours ago
EthanEthan
566222
$endgroup$
$begingroup$
Yes, I am using that function. I don't think stratify is the correct parameter since all that is doing it looking to make sure proportions stay the same. I just want to split participant data as being used for training only or testing only.
$endgroup$
– Andrew
6 hours ago
$begingroup$
train_test_split will by default, do a 75% training 25% testing split. Is this what you want to change? I am not sure I understand your question.
$endgroup$
– Ethan
4 hours ago
$begingroup$
No, I want to split based on participants. Currently it randomly splits so all 50 participants are very likely going to be included in the training and testing portions.
$endgroup$
– Andrew
49 mins ago
$begingroup$
I want to do a 50% train split with the additional parameter that participants are mutually excluded to either the train or test split. So there are 25 participants worth of data on the train side and 25 participants worth of data on the test side. Basically, is there an easy way to randomize 50 participants into two groups? It seems like the answer is no and requires a custom script.
$endgroup$
– Andrew
17 mins ago
add a comment |
$begingroup$
To split data into Training and Test sets in scikit-learn you can use the train_test_split function.
To implement this:
from sklearn.model_selection import train_test_split
sklearn.model_selection.train_test_split()
Then pass through the arguments that you would like to set as parameters. Some parameters of note you may like to tune are the sizes of the training and test sets as well as setting if the splits are shuffled or not.
You can read about this further on its scikit-learn documentation page here.
answered 11 hours ago
EthanEthan
566222
$endgroup$
To split data into Training and Test sets in scikit-learn you can use the train_test_split function.
To implement this:
from sklearn.model_selection import train_test_split
sklearn.model_selection.train_test_split()
Then pass through the arguments that you would like to set as parameters. Some parameters of note you may like to tune are the sizes of the training and test sets as well as setting if the splits are shuffled or not.
You can read about this further on its scikit-learn documentation page here.
answered 11 hours ago
EthanEthan
566222
answered 11 hours ago
EthanEthan
566222
answered 11 hours ago
EthanEthan
566222
answered 11 hours ago
EthanEthan
566222
566222
$begingroup$
Yes, I am using that function. I don't think stratify is the correct parameter since all that is doing it looking to make sure proportions stay the same. I just want to split participant data as being used for training only or testing only.
$endgroup$
– Andrew
6 hours ago
$begingroup$
train_test_split will by default, do a 75% training 25% testing split. Is this what you want to change? I am not sure I understand your question.
$endgroup$
– Ethan
4 hours ago
$begingroup$
No, I want to split based on participants. Currently it randomly splits so all 50 participants are very likely going to be included in the training and testing portions.
$endgroup$
– Andrew
49 mins ago
$begingroup$
I want to do a 50% train split with the additional parameter that participants are mutually excluded to either the train or test split. So there are 25 participants worth of data on the train side and 25 participants worth of data on the test side. Basically, is there an easy way to randomize 50 participants into two groups? It seems like the answer is no and requires a custom script.
$endgroup$
– Andrew
17 mins ago
add a comment |
$begingroup$
Yes, I am using that function. I don't think stratify is the correct parameter since all that is doing it looking to make sure proportions stay the same. I just want to split participant data as being used for training only or testing only.
$endgroup$
– Andrew
6 hours ago
$begingroup$
train_test_split will by default, do a 75% training 25% testing split. Is this what you want to change? I am not sure I understand your question.
$endgroup$
– Ethan
4 hours ago
$begingroup$
No, I want to split based on participants. Currently it randomly splits so all 50 participants are very likely going to be included in the training and testing portions.
$endgroup$
– Andrew
49 mins ago
$begingroup$
I want to do a 50% train split with the additional parameter that participants are mutually excluded to either the train or test split. So there are 25 participants worth of data on the train side and 25 participants worth of data on the test side. Basically, is there an easy way to randomize 50 participants into two groups? It seems like the answer is no and requires a custom script.
$endgroup$
– Andrew
17 mins ago
$begingroup$
Yes, I am using that function. I don't think stratify is the correct parameter since all that is doing it looking to make sure proportions stay the same. I just want to split participant data as being used for training only or testing only.
$endgroup$
– Andrew
6 hours ago
$begingroup$
Yes, I am using that function. I don't think stratify is the correct parameter since all that is doing it looking to make sure proportions stay the same. I just want to split participant data as being used for training only or testing only.
$endgroup$
– Andrew
6 hours ago
$begingroup$
train_test_split will by default, do a 75% training 25% testing split. Is this what you want to change? I am not sure I understand your question.
$endgroup$
– Ethan
4 hours ago
$begingroup$
train_test_split will by default, do a 75% training 25% testing split. Is this what you want to change? I am not sure I understand your question.
$endgroup$
– Ethan
4 hours ago
$begingroup$
No, I want to split based on participants. Currently it randomly splits so all 50 participants are very likely going to be included in the training and testing portions.
$endgroup$
– Andrew
49 mins ago
$begingroup$
No, I want to split based on participants. Currently it randomly splits so all 50 participants are very likely going to be included in the training and testing portions.
$endgroup$
– Andrew
49 mins ago
$begingroup$
I want to do a 50% train split with the additional parameter that participants are mutually excluded to either the train or test split. So there are 25 participants worth of data on the train side and 25 participants worth of data on the test side. Basically, is there an easy way to randomize 50 participants into two groups? It seems like the answer is no and requires a custom script.
$endgroup$
– Andrew
17 mins ago
$begingroup$
I want to do a 50% train split with the additional parameter that participants are mutually excluded to either the train or test split. So there are 25 participants worth of data on the train side and 25 participants worth of data on the test side. Basically, is there an easy way to randomize 50 participants into two groups? It seems like the answer is no and requires a custom script.
$endgroup$
– Andrew
17 mins ago
add a comment |
Andrew is a new contributor. Be nice, and check out our Code of Conduct.
Andrew is a new contributor. Be nice, and check out our Code of Conduct.
Andrew is a new contributor. Be nice, and check out our Code of Conduct.
Andrew is a new contributor. Be nice, and check out our Code of Conduct.
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$begingroup$
What do you mean by "splitting based on participant?"
$endgroup$
– Ethan
11 hours ago
$begingroup$
@Ethan As in, I would like to split based on participant IDs and then classify exercises. For example, if I wanted to do a 50/50 train/test split, then I would have 25 participants data in the training, then test on the other 25 participants data.
$endgroup$
– Andrew
8 hours ago