AttributeError: ‘numpy.ndarray’ object has no attribute ‘score’ error

I have tried to look for a problem but there is nothing Im seeing wrong here. What could it be? This is for trying binary classification in SVM for the fashion MNIST data set but only classifying 5 …

precision score warnings results in score =0 sklearn

I am using precision_score in sklearn to evaluate the result of the outlier detection algorithm. I trained with one class only and predict on unseen data. So the label for the one class is just 0 all …

How to retrieve the full branch path leading to each leaf node of a sklearn Decision Tree?

I have this decision tree, which I would like to extract every branch from it. The image is a portion of the tree, since the original tree is much bigger but it doesn’t fit well on a single image. I’…

Isolation forest with multiple features detecting everything as an anomaly

I have an isolation forest implementation where I take the features (all are numerical); scale them to be between 0 and 1 from sklearn.preprocessing import MinMaxScaler scaler = MinMaxScaler() data = …

Do Machine Learning Algorithms read data top-down or bottom up?

I’m new to Machine Learning and I’m a bit confused about how data is being read for the training/testing process. Assuming my data works with date and I want the model to read the later dates first …

xlearn predictions error give a different mse than output by the function

the xlearn predict function gives a different mse than what you get by looking at the predictions and calculating it yourself. Here is code to do this; you can run it by cloning the xlearn repository …

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 …