Most voted questions in Machine Learning

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Bad logistic regression in trivial example [scikit-learn]

This is due to the process of ...READ MORE

Mar 17, 2022 in Machine Learning by Dev
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827 views
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1 answer

Scikit-Learn Linear Regression how to get coefficient's respective features?

What I discovered to be effective was ...READ MORE

Mar 17, 2022 in Machine Learning by Dev
• 6,000 points
2,317 views
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Which polynomial regression degree is significant ? depends of number of points or other parameters?

I must admit that the wording of ...READ MORE

Mar 17, 2022 in Machine Learning by Dev
• 6,000 points
840 views
0 votes
1 answer

How to calculate ctc probability for given input and expected output?

The loss for a batch is defined ...READ MORE

Mar 17, 2022 in Machine Learning by Dev
• 6,000 points
1,030 views
0 votes
1 answer

Identifying different regressions (Linear, Polynomial) from a graph and fit regression model accordingly

The constant part of your equation isn't ...READ MORE

Mar 17, 2022 in Machine Learning by Dev
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834 views
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1 answer

How to extract the regression coefficient from statsmodels.api?

The coefficients can be obtained using the ...READ MORE

Mar 17, 2022 in Machine Learning by Dev
• 6,000 points
10,655 views
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Supress table header in tbl_regression of gtsummary

After you've separated your table, use tbl ...READ MORE

Mar 17, 2022 in Machine Learning by Dev
• 6,000 points
1,071 views
0 votes
1 answer

How to get a regression summary in scikit-learn like R does?

In sklearn, there is no R type ...READ MORE

Mar 15, 2022 in Machine Learning by Dev
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4,127 views
0 votes
1 answer

Is P(A, B) probability equal to P(A intersection B)?

They both signify the same thing; the ...READ MORE

Mar 15, 2022 in Machine Learning by Dev
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2,723 views
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1 answer

Asymptotic regression in Python?

If the problem persists, try using a ...READ MORE

Mar 15, 2022 in Machine Learning by Dev
• 6,000 points
2,077 views
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1 answer

Getting one word as caption with zero probability using pretrained checkpoints for image captioning-im2txt

captiongenerator.py is a Python script that generates ...READ MORE

Mar 17, 2022 in Machine Learning by Dev
• 6,000 points
724 views
0 votes
1 answer

Which polynomial regression degree is significant ? depends of number of points or other parameters?

You're more likely to overfit the results ...READ MORE

Mar 23, 2022 in Machine Learning by Nandini
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1,359 views
0 votes
1 answer

R: Force regression coefficients to add up to 1

b1 + b2 = 1 Let us fit ...READ MORE

Mar 23, 2022 in Machine Learning by Nandini
• 5,480 points
2,206 views
0 votes
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Probability that a formula fails in IEEE 754

It is feasible to evaluate these things ...READ MORE

Mar 23, 2022 in Machine Learning by Nandini
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675 views
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Logistic regression coefficient meaning

What did the intercept teach you? It's ...READ MORE

Mar 23, 2022 in Machine Learning by Nandini
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1,024 views
0 votes
1 answer

Choose specific number with probability

Examine the sample function. set.seed(1) sample(c(0,1), size=12, replace=TRUE, prob=c(0.2,0.8)) 1 ...READ MORE

Mar 14, 2022 in Machine Learning by Dev
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726 views
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1 answer

Empirical probability in R with x1+x2>2*x3

It's easy to duplicate random draws with ...READ MORE

Mar 15, 2022 in Machine Learning by Dev
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747 views
0 votes
1 answer

How to export regression equations for grouped data?

First, you'll need a linear model with ...READ MORE

Mar 14, 2022 in Machine Learning by Dev
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837 views
0 votes
1 answer

Orange Data Mining and Logistic Regression

A statistical classification method that fits data ...READ MORE

Mar 15, 2022 in Machine Learning by Dev
• 6,000 points
1,671 views
0 votes
1 answer

Leela Chess Zero: how large is the probability vector in the output layer?

The next move's probability vector (called the ...READ MORE

Mar 9, 2022 in Machine Learning by Nandini
• 5,480 points
1,110 views
0 votes
1 answer

Classification vs Regression?

You are correct: categorization applies a label ...READ MORE

Mar 9, 2022 in Machine Learning by Nandini
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998 views
0 votes
1 answer

What does regression test mean?

Regression testing is used to ensure that ...READ MORE

Mar 9, 2022 in Machine Learning by Nandini
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915 views
0 votes
1 answer

How do I create a linear regression model in Weka without training?

Weka is a classification algorithm. This is ...READ MORE

Mar 9, 2022 in Machine Learning by Nandini
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1,678 views
0 votes
0 answers

Expected 2D array, got 1D array instead: array=[].

from sklearn.linear_model import LinearRegression lin_reg = LinearRegression(normalize = ...READ MORE

Mar 5, 2022 in Machine Learning by Robel

edited Mar 4 135 views
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1 answer

Linear Regression :: Normalization (Vs) Standardization

Your data is transformed into a range ...READ MORE

Mar 8, 2022 in Machine Learning by Dev
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3,509 views
0 votes
1 answer

sklearn MLPClassifier - zero hidden layers (i.e. logistic regression)

You could try something like this. my_nn = ...READ MORE

Mar 8, 2022 in Machine Learning by Dev
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1,271 views
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1 answer

What's the difference between regression testing and mutation testing?

Regression testing is a test suite that ...READ MORE

Mar 8, 2022 in Machine Learning by Dev
• 6,000 points
1,326 views
0 votes
1 answer

Logistic Regression not working because of "unknown label type 'continuous'"?

The issue is because you're using a ...READ MORE

Mar 8, 2022 in Machine Learning by Dev
• 6,000 points
4,068 views
0 votes
1 answer

What are unit tests, integration tests, smoke tests, and regression tests?

Unit test: Specify and test one point ...READ MORE

Mar 7, 2022 in Machine Learning by Dev
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2,796 views
0 votes
1 answer
0 votes
1 answer

Can I draw a regression line and show parameters using scatterplot with a pandas dataframe?

There isn't a parameter for DataFrame.plot(). Seaborn, ...READ MORE

Mar 7, 2022 in Machine Learning by Dev
• 6,000 points
3,301 views
0 votes
1 answer

Keras image binary classification, which class is assigned probability 0 and 1 ? Using Functional API

Not exactly.  If your sigmoid output was ...READ MORE

Mar 7, 2022 in Machine Learning by Dev
• 6,000 points
2,103 views
0 votes
1 answer

How to resolve heteroscedasticity in Multiple Linear Regression in R?

Try to use a different form of ...READ MORE

Mar 4, 2022 in Machine Learning by Dev
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994 views
0 votes
1 answer

DBSCAN algorithm and clustering algorithm for data mining

You can use any distance function with ...READ MORE

Mar 4, 2022 in Machine Learning by Dev
• 6,000 points
1,399 views
0 votes
1 answer

Difference between Regression and classification in Machine Learning?

The goal of regression is to forecast ...READ MORE

Mar 4, 2022 in Machine Learning by Dev
• 6,000 points
1,106 views
0 votes
1 answer

difference between classification and regression in k-nearest neighbor?

In classification tasks, the user tries to ...READ MORE

Mar 4, 2022 in Machine Learning by Dev
• 6,000 points
2,942 views
0 votes
1 answer

When should Data Binning be used in data processing?

Mostly by trial and error. When you ...READ MORE

Mar 3, 2022 in Machine Learning by Nandini
• 5,480 points
3,835 views
0 votes
1 answer

Is batch normalization useful for small networks?

Batch normalization is a technique that is ...READ MORE

Mar 3, 2022 in Machine Learning by Nandini
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1,123 views
0 votes
1 answer

What does dimensionality reduction mean?

Dimensionality reduction is used in Machine Learning ...READ MORE

Mar 3, 2022 in Machine Learning by Nandini
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883 views
0 votes
1 answer

feature selection for regression vs classification

There are various feature selection processes used ...READ MORE

Mar 3, 2022 in Machine Learning by Nandini
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981 views
0 votes
1 answer

bias and variance calculation for linear regression

Evaluation of Variance: variance = np.var(prediction) # Where ...READ MORE

Mar 2, 2022 in Machine Learning by Nandini
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2,062 views
0 votes
1 answer

Why is random_state required for ridge & lasso regression classifiers?

This is because the regression coefficients of ...READ MORE

Mar 2, 2022 in Machine Learning by Nandini
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1,392 views
0 votes
1 answer

What is alpha in ridge regression?

‘L2 regularization‘ or Ridge Regularization  adds penalty ...READ MORE

Mar 2, 2022 in Machine Learning by Nandini
• 5,480 points
1,459 views
0 votes
1 answer

L2 regularization in Logistic regression vs NN

L2 Regularization is known as Ridge Regression. ...READ MORE

Mar 2, 2022 in Machine Learning by Nandini
• 5,480 points
2,087 views
0 votes
1 answer

What is "entropy and information gain"?

Entropy is uncertainty/ randomness in the data, ...READ MORE

Mar 2, 2022 in Machine Learning by Dev
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22,295 views
0 votes
1 answer

Training and testing data in machine learning

Unsupervised learning is used with the K-means ...READ MORE

Mar 2, 2022 in Machine Learning by Dev
• 6,000 points
954 views
0 votes
1 answer

What is the difference between a Confusion Matrix and Contingency Table?

Confusion Matrix is a classification matrix used ...READ MORE

Mar 2, 2022 in Machine Learning by Dev
• 6,000 points
2,411 views
0 votes
1 answer

What is the actual meaning implied by information gain in data mining?

Information gain works on the concept of ...READ MORE

Mar 2, 2022 in Machine Learning by Dev
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839 views
0 votes
0 answers

Is k-Nearest Neighbors algorithm used a lot in real life?

the k-Nearest Neighbors is mentioned as one ...READ MORE

Feb 28, 2022 in Machine Learning by Dev
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539 views
0 votes
0 answers

Decision tree vs. Naive Bayes classifier

In which cases is it better to ...READ MORE

Feb 28, 2022 in Machine Learning by Dev
• 6,000 points
858 views