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Showing posts with the label Logistic Regression

Predict Certain Label With Highest Possible Probability In Logistic Regression

I am building the model, having 12 parameters and {0,1} labels using logistic regression in sklearn… Read more Predict Certain Label With Highest Possible Probability In Logistic Regression

Statmodels In Python Package, How Exactly Duplicated Features Are Handled?

I am a heavy R user and am recently learning python. I have a question about how statsmodels.api ha… Read more Statmodels In Python Package, How Exactly Duplicated Features Are Handled?

Explain Matplotlib Contourf Function

I am trying to plot a decision region (based on the output of a logistic regression) with matplotli… Read more Explain Matplotlib Contourf Function

Scikit-learn - Multinomial Logistic Regression With Probabilities As A Target Variable

I'm implementing a multinomial logistic regression model in Python using scikit-learn. The thin… Read more Scikit-learn - Multinomial Logistic Regression With Probabilities As A Target Variable

Sklearn Logistic Regression - Adjust Cutoff Point

I have a logistic regression model trying to predict one of two classes: A or B. My model's ac… Read more Sklearn Logistic Regression - Adjust Cutoff Point

Logistic Regression - ValueError: Classification Metrics Can't Handle A Mix Of Continuous-multi Output And Binary Targets

I'm a data science noob and am working on the Kaggle Titanic dataset. I'm running a Logisti… Read more Logistic Regression - ValueError: Classification Metrics Can't Handle A Mix Of Continuous-multi Output And Binary Targets