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why does 'from sklearn.impute import SimpleImputer as si' works but ' do not work I want to know, why this won't work. I am new to python. ...

today I attempted to make a bootstrap to obtain the interval confidence of various different ML algorithm AUC. I used my personal medical dataset wit ...

I need to set the attribute activation_out = 'logistic' in a MLPRegressor of sklearn. It is supposed that this attribute can take the names of the rel ...

I want to merge my predicted results of my test data to my X_test. I was able to merge it with y_test but since my X_test is a corpus I'm not sure how ...

I am making multiple classifier models and the test accuracy for all of them is 0.508. I find it weird that multiple models have the same accuracy. T ...

This code generates a graph of the regression line but the y-intercept taken from the LR model does not match the y-intercept on the graph. What am I ...

What is the best pythonic way to check for the presence or absence of fit method in a generic machine learning model knowing its estimator? Here is a ...

I am working on a problem where I have to predict a vector y from a scalar x. I am currently using linear regression to create a baseline model. But i ...

There's no specific code for this. Right now, I have a logistic regressor with target column is is_promoted (boolean) with 0's and 1's. When I find t ...

I am trying to assign a higher weight to one feature above others. Here is my code. I went through the documentation here and this Akshay Sehgal's ...

I want to use a logistic regression to forecast the click Through rate (CTR) of advertisements. As independent variables i use variables like placemen ...

I have a dataframe with several locations. I want to find each locations nearest neighbours. To do this, I am using a Ball tree. However, the output ...

I am trying to do a cross validation, however, I am only allowed to use those libraries below (as the professor demanded): Therefore, I am not able ...

I have a pickled sklearn model, which I need to get to run. This model, however, is trained in unknown version of sklearn. When I look up the model i ...

I am a beginner in machine learning in python, and I am working on a binary classification problem. I have implemented a logistic regression model wit ...

This class works in this way: Consider 'max_features' at each node, to choose the split Then select one feature out of 'max_features' randomly. ...

train = pd.DataFrame({'speed':['fast','medium']}) test = pd.DataFrame({'speed':['fast','medium','slow']}) le = LabelEncoder() le.fit(train) train = l ...

I am encountering an errors each time i attempt to compute the difference in readings for a meter in my dataset. The dataset structure is this. I a ...

I am developing a classification problem that uses data augmentation. To do this, I have already extracted features from the copies by adding noise an ...