All Questions
Tagged with machine-learning logistic-regression
244
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23
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How to choose thresholds to discretize target for binary classification
My group is using logistic regression to investigate the most predictive features in a dataset. Our target variable is actually a continuous variable that we discretized using two cutoff thresholds (...
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16
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Can I train a logistic regression model for combining ML models to form an ensemble?
I have 3 ML models trained to perform classification on a dataset. I want to combine them into an ensemble model. I understand that there are multiple ways to do this - voting classifier, stacking, ...
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1
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33
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Why does precision decrease with inceasing threshold?
I've trained a Logistic Regression model using scikit-learns LogisticRegression class. I'm dealing with stock data so it's quite noisy and difficult to predict ...
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1
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71
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ROC curve manual calculation vs. pROC package R
I want do recreate ROC curve manually on my dataset and compare it to roc function from pROC package in R. I'm using dataset on customer churn telco.csv from Kaggle....
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How to Determine the Minimum Value of a Continuous Variable for Predicting Categorical variable using Logistic Regression?
I am using logistic regression to predict df['MortSubiteCardiaque'], which contains 0 and 1, based on my continuous variable df['NTProBNP']. I would like to determine the threshold for df['NTProBNP'], ...
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9
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Error while using saved logistic regression model on scoring vector data -The columns of A don't match the number of elements of x. A: 6011, x: 232964
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I'm getting error while using saved logistic regression model on scoring vector data.
SparkException: [FAILED_EXECUTE_UDF] Failed to execute user defined function (ProbabilisticClassificationModel$$...
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89
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SMOTE-NC not working, Error: Pandas output does not support sparse data
I want to get my SMOTENC to work, but i've been failing successfully
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29
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If my logistic regression model is performing well, does it matter if my features don't pass the Box Tidwell Test?
I've built a logistic regression model for binary classification with a high F1 score, but when I run Box-Tidwell tests on continuous independent features/predictive variables, I find non-linearities ...
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1
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61
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What should I Improve from my Neural Network Model (Logistic Regression)
Initial Information
I built a Neural Network Model (Logistic Regression) to classify Lung Cancer based on the patient's (user) symptoms
My dataset is kind of small (only about 276 data)
Here is the ...
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2
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947
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Learning from aggregated data
Online and in the literature there seems to be a general consensus that training a machine learning model using aggregated data is harder and/or fundamentally different from training on raw event data....
- 120
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How to estimate this variable in an MILP formulation
This is my first question being asked here. I've thought about different methods to do it, but to no avail. I want to estimate a variable that is either 0 or a positive number. Then I want to use this ...
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1
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391
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Why does Logistic Regression perform better than machine learning models in clinical prediction studies
I am developing binary classification models to predict a medical condition in my dataset. My results show that both Logistic Regression and Linear SVM consistently outperformed other ML algorithms (...
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71
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Machine learning / statistical model of a deterministic process: how large must my training set be to ensure almost perfect accuracy?
This may be a silly question, but if I got a deterministic process, for instance, a function (in the mathematical sense) that happens to be computationally expensive to evaluate, and I decided to ...
- 103
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2
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190
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Which intrinsically explainable model has the highest performance?
Explainable AI can be achieved through intrinsically explainable models, like logistic and linear regression, or post-hoc explanations, like SHAP.
I want to use an intrinsically explainable model on ...
- 661
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29
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How will a model handle real-life values in real-life applications without scaling?
I am learning ML and facing confusion about data scaling. For example, I have the following data:
Weight(KG)
Balance($)
75
3401542
99
4214514
Now, if I use StandardScaler, I may get something like ...
