Questions tagged [machine-learning-model]

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32
votes
8answers
7k views

What would I prefer - an over-fitted model or a less accurate model?

Let's say we have two models trained. And let's say we are looking for good accuracy. The first has an accuracy of 100% on training set and 84% on test set. Clearly over-fitted. The second has an ...
0
votes
2answers
111 views

What happens when scikit-learn does a Lasso Model?

I have started an MLS course. As a beginner and non-mathematician it has been hard. I am trying to understand the exercise about Lasso Models. I have done Lasso models on R-cran, but this is my first ...
5
votes
2answers
991 views

LightGBM - Why Exclusive Feature Bundling (EFB)?

I'm currently studying GBDT and started reading LightGBM's research paper. In section 4. they explain the Exclusive Feature Bundling algorithm, which aims at reducing the number of features by ...
2
votes
1answer
57 views

How to Bootstrap dataset for 10000 AUC scores?

I am new to ML and trying to learn the nuances. I work on a binary classification problem with 5K records. Label 1 is 1554 and Label 0 is 3554. What I currently do is 1) split the data into train(...
0
votes
2answers
1k views

Why the VC dimension to this linear hypothesis equal to 3?

I am trying hard to understand this. Here is the scenario: X = R^2 H = { h(x) = x + 10 } I need to calculate the VC dimension for the above linear separator. ...
3
votes
1answer
80 views

How to chose a Machine Learning algorithm? [closed]

I was wondering, are their any guidelines or any rules of the thumb as to which algorithms perform best for each task? What I'm looking for is something along the lines of: NLP tasks are usually ...
2
votes
1answer
564 views

can accuracy rise while precision and recall drop?

I am working on a model and running some experiments, I see that under some configurations, The accuracy rises while the recall and precision are much lower, what is the mathematical explanation? is ...
2
votes
1answer
83 views

What is the most appropriate machine learning approach for this scenario?

The scenario is pretty simple, and I'm sure it's been done a million times. The problem is i don't know the terminology to find the correct resources on the web. Scenario: I have an environment that ...
1
vote
1answer
44 views

ML Project - Achieve 2 Objectives

I have a dataset with 5K records focused on binary classification. I am posting it here to seek your suggestions on project methodology Currently what is my objective is 1) Run statsmodel logistic ...
1
vote
2answers
7k views

How to apply machine learning model to new dataset

I'm very new to machine learning & python in general and I'm trying to apply a Decision Tree Classifier to my dataset that I'm working on. I would like to use this model to predict the outcome ...
0
votes
2answers
77 views

Which ML algorithm should I use for following use case for classification and Why?

I have data in table format having total 3 columns. One column for label, other two columns are features. So, such 30 rows(1 row contains 2 feature and 1 label) make one set of data with all 30 rows ...