All Questions
Tagged with scikit-learnneural-network
74 questions
1vote
0answers
25views
Neural Network Overfitting on Linearly Separable Dataset
Please let me know if this question is not proper to ask here For context, I have a dataset regarding to tiktok user engagement. The predicted variable is binary, either 'claim' or 'opinion'. From ...
- 11
1vote
1answer
757views
How to determine which combinations of parameters to include in GridSearchCV
I am using MLPClassifier from sklearn and I would like to tune it with GridSearchCV. But I don't know which set of values to include for hidden_layer_sizes, max_iter, activation, solver, etc. How can ...
- 11
1vote
1answer
1kviews
How to compare $R^{2}$ of train and test data in a Deep Learning Neural Network Regression model?
I want to judge the goodness of my neural network regression model built using Keras Python Library. The problem is the following: from an input like (1000, 5000) so 1000 samples and each sample has ...
3votes
1answer
5kviews
How can I Implement Dropout in SciKit-Learn?
I am working on an air-gapped PC and can only access the SciKit-Learn machine learning library. Unfortunately, its MLPClassifier doesn't include a Dropout ...
- 701
0votes
0answers
52views
How to improve validation score
I am working on time series classification. My data has 4 classes. I used this paper's architecture on my data (1611.06455). However, my results look like this : . Here is a link to my notebook I ...
- 139
0votes
1answer
377views
why sign flip to indicate loss in hyperopt? [closed]
I am using the hyperopt to find best hyperparameters for Random forest. My objective is to get the parameters which returns the best f1-score as my dataset is ...
- 2,715
0votes
1answer
863views
Fitting column wise ordinal encoder
I already posted this here but no response, so posting it here I have a dataframe like as shown below ...
- 2,715
0votes
3answers
156views
Creating numeric word representation of input sentences resulting in MemoryError
I am trying to use CountVectorizer to obtain word numerical word representation of data which is essentialy list of 160000 English sentences: ...
- 299
2votes
0answers
410views
Understanding an MLP coefficient array
I have implemented a super simple MLP using SKLearn. I have a 2 hidden layer model and 31 features on the input layer. So the lengths of the arays are 31, 20 and 10. ...
- 21
1vote
2answers
821views
Deep Neural Network Model in sklearn Pipeline
Is it possible to add a deep neural network model as the estimator/model in an sklearn Pipeline? or is it only possible for ML models as the estimator. For example, ...
- 258
1vote
1answer
82views
Difference in result in every run of Neural network?
I have written a simple neural network (MLP Regressor), to fit simple data frame columns. To have an optimum architecture, I also defined it as a function to see whether it is converging to a pattern. ...
- 147
0votes
0answers
257views
text classification - does number of features matters?
I'm working on a multi-class text classification project that aims to assign a "new bug" to his "final group assignee" To do that I was able to extract ~17000 samples and divided ...
- 209
0votes
1answer
154views
Neural network for a data with 5 inputs and 1 output of 3 different types
I am trying to create a neural network for my data which is as follows ...
0votes
0answers
76views
Loss increasing and accuracy decreasing
I've implemented a shallow FC feedforward neural net with 2 input nodes, 1 hidden layer with 4 nodes (tanh activation) and 1 outputnode with sigmoid activation function and binary cross-entropy loss. ...
2votes
1answer
923views
Changing a neural network to not overfit
I am trying to classify around 400K data with 13 attributes. I have used python sklearn's SVM package, but it didn't work, and then I learned that SVM's are not suitable for large dataset ...
- 121
