Sci-Kit Learn Neural Network Attribute Advice
$begingroup$
I'm working on a neural network for a set of weather data, and I'm looking for advice on what attributes should be included, and which are unnecessary.
The data I'm working with includes 16,000 samples
that follows the template above. My question is which attributes seem important to predicting the average temperature (the column in red) within $pm$ 5 degrees ? The ones I have highlighted yellow were my initial attributes to include (I wanted to exclude maximum/minimum temperature, because the average tended to just be the average).
So, my question is, what attributes would you include to create a neural network that predicts the average temperature? In addition, what parameters would you use on your classifier? Currently I have:
clf_weather = MLPClassifier(solver='adam', alpha=1e-5, random_state=42,hidden_layer_sizes=(15,))
but haven't had great success.
Thanks
neural-network classification scikit-learn
asked 10 hours ago
PaulfryyPaulfryy
61
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Paulfryy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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add a comment |
$begingroup$
I'm working on a neural network for a set of weather data, and I'm looking for advice on what attributes should be included, and which are unnecessary.
The data I'm working with includes 16,000 samples
that follows the template above. My question is which attributes seem important to predicting the average temperature (the column in red) within $pm$ 5 degrees ? The ones I have highlighted yellow were my initial attributes to include (I wanted to exclude maximum/minimum temperature, because the average tended to just be the average).
So, my question is, what attributes would you include to create a neural network that predicts the average temperature? In addition, what parameters would you use on your classifier? Currently I have:
clf_weather = MLPClassifier(solver='adam', alpha=1e-5, random_state=42,hidden_layer_sizes=(15,))
but haven't had great success.
Thanks
neural-network classification scikit-learn
asked 10 hours ago
PaulfryyPaulfryy
61
New contributor
Paulfryy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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$begingroup$
Could you provide more informations about your data? There is a lot of things to take into account like data preprocessing (did you do one hot encoding?)
$endgroup$
– Robin Nicole
7 hours ago
$begingroup$
Robin - forgive me if I misunderstood your question (I'm fairly new to machine learning), but I did do preprocessing in the form of Label Encoder.
$endgroup$
– Paulfryy
1 hour ago
add a comment |
$begingroup$
I'm working on a neural network for a set of weather data, and I'm looking for advice on what attributes should be included, and which are unnecessary.
The data I'm working with includes 16,000 samples
that follows the template above. My question is which attributes seem important to predicting the average temperature (the column in red) within $pm$ 5 degrees ? The ones I have highlighted yellow were my initial attributes to include (I wanted to exclude maximum/minimum temperature, because the average tended to just be the average).
So, my question is, what attributes would you include to create a neural network that predicts the average temperature? In addition, what parameters would you use on your classifier? Currently I have:
clf_weather = MLPClassifier(solver='adam', alpha=1e-5, random_state=42,hidden_layer_sizes=(15,))
but haven't had great success.
Thanks
neural-network classification scikit-learn
asked 10 hours ago
PaulfryyPaulfryy
61
New contributor
Paulfryy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I'm working on a neural network for a set of weather data, and I'm looking for advice on what attributes should be included, and which are unnecessary.
The data I'm working with includes 16,000 samples
that follows the template above. My question is which attributes seem important to predicting the average temperature (the column in red) within $pm$ 5 degrees ? The ones I have highlighted yellow were my initial attributes to include (I wanted to exclude maximum/minimum temperature, because the average tended to just be the average).
So, my question is, what attributes would you include to create a neural network that predicts the average temperature? In addition, what parameters would you use on your classifier? Currently I have:
clf_weather = MLPClassifier(solver='adam', alpha=1e-5, random_state=42,hidden_layer_sizes=(15,))
but haven't had great success.
Thanks
neural-network classification scikit-learn
neural-network classification scikit-learn
asked 10 hours ago
PaulfryyPaulfryy
61
New contributor
Paulfryy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 10 hours ago
PaulfryyPaulfryy
61
New contributor
Paulfryy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 10 hours ago
PaulfryyPaulfryy
61
New contributor
Paulfryy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 10 hours ago
PaulfryyPaulfryy
61
asked 10 hours ago
PaulfryyPaulfryy
61
61
New contributor
Paulfryy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Paulfryy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Paulfryy is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$begingroup$
Could you provide more informations about your data? There is a lot of things to take into account like data preprocessing (did you do one hot encoding?)
$endgroup$
– Robin Nicole
7 hours ago
$begingroup$
Robin - forgive me if I misunderstood your question (I'm fairly new to machine learning), but I did do preprocessing in the form of Label Encoder.
$endgroup$
– Paulfryy
1 hour ago
add a comment |
$begingroup$
Could you provide more informations about your data? There is a lot of things to take into account like data preprocessing (did you do one hot encoding?)
$endgroup$
– Robin Nicole
7 hours ago
$begingroup$
Robin - forgive me if I misunderstood your question (I'm fairly new to machine learning), but I did do preprocessing in the form of Label Encoder.
$endgroup$
– Paulfryy
1 hour ago
$begingroup$
Could you provide more informations about your data? There is a lot of things to take into account like data preprocessing (did you do one hot encoding?)
$endgroup$
– Robin Nicole
7 hours ago
$begingroup$
Could you provide more informations about your data? There is a lot of things to take into account like data preprocessing (did you do one hot encoding?)
$endgroup$
– Robin Nicole
7 hours ago
$begingroup$
Robin - forgive me if I misunderstood your question (I'm fairly new to machine learning), but I did do preprocessing in the form of Label Encoder.
$endgroup$
– Paulfryy
1 hour ago
$begingroup$
Robin - forgive me if I misunderstood your question (I'm fairly new to machine learning), but I did do preprocessing in the form of Label Encoder.
$endgroup$
– Paulfryy
1 hour ago
add a comment |
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$begingroup$
Could you provide more informations about your data? There is a lot of things to take into account like data preprocessing (did you do one hot encoding?)
$endgroup$
– Robin Nicole
7 hours ago
$begingroup$
Robin - forgive me if I misunderstood your question (I'm fairly new to machine learning), but I did do preprocessing in the form of Label Encoder.
$endgroup$
– Paulfryy
1 hour ago