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Questions - scikit-learn

How to get the ROC curve of a neural network?

I'm trying to get the ROC curve for my Neural Network. My network uses pytorch and im using sklearn to get the ROC curve. My model outputs the binary right and wrong and also the probability of the ou...
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Samuel Fipps

python

scikit-learn

neural-network

pytorch

roc

Votes: 0

Answers: 1

Latest Answer

Function roc_curve expects array with true labels y_true and array with probabilities for positive class y_score (which usually means class 1). Therefore what you need is not _, pred = torch.max(outpu...
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draw

How is model.fit affected in a for-loop

I am implementing walk-forward optimization for a time series. I understand splitting the set to train-test with 20-30% reserved for testing, but for time series i cant randomly split nor can i choose...
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LemonSqueezy

python

machine-learning

scikit-learn

Votes: 0

Answers: 1

Latest Answer

the .fit method will 'reset' the model to be trained on only the values in x_train and y_train. if you want to train it on an extended dataset, then you should make both x_train and y_train as lists a...
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Ahmed AEK

Building a Random Forest Classifier with equal output probabilities to a Decision Tree Classifier

I have been trying to build a RandomForestClassifier() (RF) model and a DecisionTreeClassifier() (DT) model in order to get the same output (only for learning purposes). I have found some questions wi...
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Chris

python

machine-learning

scikit-learn

random-forest

decision-tree

Votes: 0

Answers: 1

Latest Answer

It appears to be due to random states, despite your best efforts. For the random forest to be effective at its randomization, it needs to provide each component decision tree with a different random ...
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Ben Reiniger

How to create custom k-fold cross validation datasets for training models

I have a dataset on daily level granularity for 4 years - 2018, 2019, 2020 and 2021. There is also some data available for Q1 2022 which I will be using as unseen data for model testing. I want to use...
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Regressor

python

pandas

scikit-learn

Votes: 0

Answers: 1

Latest Answer

Scitkit-learn's TimeSeriesSplit would allow you to generate continuous train and test folds of defined size - TimeSeriesSplit(max_train_size=365, test_size=91) will produce train folds of one year and...
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eschibli

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