Most voted questions in Machine Learning

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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 • 536 views
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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
 • 6,000 points • 421 views
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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 • 7,957 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 • 598 views
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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
 • 6,000 points • 3,103 views
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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
 • 6,000 points • 1,666 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 • 1,341 views
0 votes
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 • 300 views
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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
 • 5,480 points • 857 views
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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 • 1,419 views
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1 answer

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
 • 5,480 points • 282 views
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1 answer

Logistic regression coefficient meaning

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

Mar 23, 2022 in Machine Learning by Nandini
 • 5,480 points • 511 views
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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
 • 6,000 points • 326 views
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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
 • 6,000 points • 366 views
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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
 • 6,000 points • 323 views
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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 • 1,154 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 • 322 views
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1 answer

Classification vs Regression?

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

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

What does regression test mean?

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

Mar 9, 2022 in Machine Learning by Nandini
 • 5,480 points • 282 views
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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
 • 5,480 points • 1,087 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
 • 6,000 points • 2,453 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
 • 6,000 points • 888 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 • 699 views
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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 • 3,154 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
 • 6,000 points • 1,857 views
0 votes
1 answer

Is there a way to force the coefficient of the independent variable to be a positive coefficient in the linear regression model used in R?

A Few Constraints This is an example of ...READ MORE

Mar 7, 2022 in Machine Learning by Dev
 • 6,000 points • 2,029 views
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 • 2,482 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 • 1,507 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
 • 6,000 points • 496 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 • 850 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 • 678 views
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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 • 2,284 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 • 3,025 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
 • 5,480 points • 652 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
 • 5,480 points • 416 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
 • 5,480 points • 541 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
 • 5,480 points • 1,464 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
 • 5,480 points • 845 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 • 982 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 • 1,565 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
 • 6,000 points • 19,140 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 • 445 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 • 1,326 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
 • 6,000 points • 389 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
 • 6,000 points • 286 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 • 487 views
0 votes
0 answers

Limitations of Regression in Machine Learning?

what happens when you want to do ...READ MORE

Feb 28, 2022 in Machine Learning by Dev
 • 6,000 points • 212 views
0 votes
0 answers

Difference between classification and regression, with SVMs

What is the exact difference between a ...READ MORE

Feb 28, 2022 in Machine Learning by Dev
 • 6,000 points • 580 views
0 votes
1 answer

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

Under caption_generator.py change the following line as follow ...READ MORE

Feb 27, 2022 in Machine Learning by CoolCoder
 • 4,400 points • 312 views
0 votes
1 answer

Alternatives to linear regression for dataset with many points with small value and some extreme values

The above situation is the case where ...READ MORE

Feb 25, 2022 in Machine Learning by Dev
 • 6,000 points • 620 views
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