Questions tagged [scikit-learn]

For questions related to the Python's package scikit-learn (or sklearn).

10 questions with no upvoted or accepted answers
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88 views

When computing the ROC-AUC score for multi-class classification problems, when should we use One-vs-Rest and One-vs-One?

The sklearn's documentation of the method roc_auc_score states that the parameter multi_class can take the value ...
2
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0answers
50 views

Suitable deep learning algorithms for spatial / geometric data

I have a task of classifying spatial data from a geographic information system. More precisely, I need a way to filter out unnecessary line segments from the CAD system before loading into the GIS (...
2
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1answer
46 views

Is it compulsary to normalize the dataset if doing so can negatively impact a Binary Logistic regression performance?

I am using raw data set with 4 feature variables (Total Cholesterol, Systolic Blood Pressure, Diastolic Blood Pressure, and Cigraeette count) to do a Binominal Classification (find stroke likelihood) ...
2
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0answers
59 views

How can I use gradient boosting with multiple features?

I'm trying to use gradient boosting and I'm using sklearn's GradientBoostingClassifier class. My problem is that I'm having a data frame with 5 columns and I want ...
1
vote
1answer
41 views

Code freezes and never returns when linear_kernel (sklearn.metrics.pairwise) is used on 20M Movielens dataset

I'm fairly new to ML/AI, i'm trying learn the content based recommendation - here is my source code - https://github.com/jaganlal/content-based-recommender I'm using MovieLens 20M dataset - tags.csv ...
1
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0answers
54 views

How can I split the data into training and validation sets such that entries with a certain value are kept together?

I have the following kind of data frame. These are just example: A 1 Normal A 2 Normal A 3 Stress B 1 Normal B 2 Stress B 3 Stress C 1 Normal C 2 Normal C 3 Normal ...
0
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0answers
8 views

Can I use the phi coefficient to compare predictions by two different classifiers?

Can I use the Matthews correlation coefficient (aka phi coefficient) to compare predictions by two different classifiers? That is, is this code correct if I want to check how diverse/correlated my two ...
0
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0answers
7 views

Preprocessing deterministic data with sklearn

I am trying to create a set of ML models that will serve as a replacement for a complex deterministic simulation. The simulation requires 4 inputs (x1, x2, x3 and x4) to determine 4 different outputs (...
0
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0answers
41 views

How to use Product Matching to create Product Bundles

I am working on a product matching model. GOAL A store has many products like creams, perfumes, other beauty products. Based on product properties I have to create bundles of it so we can sell more ...
0
votes
1answer
36 views

Train a model using a multi-column text-filled excel sheet

I have an excel sheet filled with my own personal appreciations of movies I've watched, and I want to use it to train an AI model so that it can predict if I'll like a specific movie or not, based on ...