Variability/randomness of Support Vector Machine model scores in Python’s scikitlearn

I am testing several ML classification models, in this case Support Vector Machines. I have basic knowledge about the SVM algorithm and how it works. I am using the built-in breast cancer dataset from …

Scikit-learn: Confused between coefficient of X0 and intercept

I have an extra column in my train/test set for feature/X which is just 1, this is supposed to be the coefficient for Xo, which is never in the dataset. It is mentioned to be θo in the equation; $$Y=…

Different output while using fit_transform vs fit and transform from sklearn

The following code snippet illustrates the issue: from sklearn.decomposition import PCA from sklearn.preprocessing import StandardScaler import numpy as np (nrows, ncolumns) = (1912392, 131) X = np….

`sklearn` asking for eval dataset when there is one

I am working on Stacking Regressor from sklearn and I used lightgbm to train my model. My lightgbm model has an early stopping option and I have used eval dataset and metric for this. When it feeds …

Pipeline with count and tfidf vectorizer produces TypeError: expected string or bytes-like object

I have a corpus like the following ‘C C C 0 0 0 X 0 1 0 0 0 0’, ‘C C C 0 0 0 X 0 1 0 0 0 0’, ‘C C C 0 0 0 X 0 1 0 0 0 0’, ‘X X X’, ‘X X X’, ‘X X X’, I would like to use count and tfidf vectorizer …

How can i give Gaussian noise to my moons dataset with a deviation value of 0.2 in python?

I have make_moons dataset, generated by scikit-learn X, y = make_moons(n_samples=120) How can i give Gaussian noise to my moons dataset with a deviation value of 0.2 in python?

SGDRegressor() constantly not increasing validation performance

The model fit of my SGDRegressor wont increase or decrease its performance on the validation set (test) after around 20’000 training records. Even if I try to switch penalty, early_stopping (True/…

Why does sklearn MinMaxScaler() return an out-of-range value instead of an error?

When I use sklearn MinMaxScaler(), I noticed some interesting behavior which shown in the following code. >>> from sklearn.preprocessing import MinMaxScaler >>> data = [[-1, 2], [-0….

I cant find why `.read_csv` cannot make a dataframe for `.shape` to recognize

Following a machine learning guide here: https://www.pluralsight.com/guides/scikit-machine-learning/ Running Python 3.8, might have a hunch that I need to run it in IPython but I think that opens up a …

How many epochs does scikit learn use when cross validating?

I’m doing some model cross validation with scikit learn in time series data where a Multi Layer Perceptron is trained with Keras. (We are able to use cross_val_score from scikit learn thanks to the …