User naive

6 votes

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What is a sensible order for parameter tuning in neural networks?

answered Sep 29, 2018 at 9:13

5 votes

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Bias induced from model selection

answered Jun 17, 2018 at 13:13

4 votes

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How can i start learning about using neural networks for time series analysis and forecasting?

answered Jun 15, 2018 at 18:35

4 votes

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How is the standard deviation in this coin tossing experiment calculated?

answered Jan 18, 2019 at 8:43

3 votes

Variance/bias trade off regularisation penalty - why does it take this form?

answered Mar 12, 2019 at 12:42

3 votes

Are there 99 percentiles, or 100 percentiles? And are they groups of numbers, or dividers or pointers to individual numbers?

answered Oct 8, 2019 at 7:04

3 votes

Interpreting Ensemble Models

answered Jun 17, 2018 at 11:14

3 votes

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LSTM time series forecasting accuracy

answered Jun 17, 2018 at 18:26

3 votes

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probability of repeated events

answered Oct 11, 2018 at 17:39

3 votes

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what is the standard error for hypothesis testing of two proportions using a z-test?

answered Jul 5, 2018 at 7:10

2 votes

NN works well on preproccessed data, but results are poor after de-normalizing - predicting non-normalized prediction values using NN?

answered Jul 6, 2018 at 8:54

2 votes

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in-sample data vs out-of-sample data

answered Oct 23, 2018 at 10:48

2 votes

How or when to use cross-validation (model selection, parameter tuning,..)

answered Oct 9, 2019 at 12:49

2 votes

bias variance tradeoff -- properties that do not follow

answered Feb 2, 2019 at 7:29

2 votes

Confidence interval for mean of m predictions

answered Oct 8, 2019 at 6:00

1 vote

what would be the best way to find out if a student's marks is increasing with the number of attempts he or she takes for a test?

answered Feb 11, 2019 at 12:59

1 vote

Probability Theory and distribution

answered Feb 25, 2019 at 19:54

1 vote

Simple up/down vote rating but weighted by number of responses

answered May 14, 2019 at 12:17

1 vote

Questions about performing k-fold cross validation for the first time

answered Nov 2, 2018 at 8:03

1 vote

Appropriate probability threshold for Jarque-Bera test

answered Sep 18, 2018 at 15:37

1 vote

Assumptions of multiple regression: how is normality assumption different from constant variance assumption?

answered Jun 19, 2018 at 13:39

0 votes

How do I call a forecast that is both accurate and precise?

answered Jun 22, 2018 at 18:45

0 votes

Hypothesis testing on subsamples and cross validation

answered Jul 1, 2018 at 11:04

0 votes

How to deal with few subjects leaving the study in the sample?

answered May 10, 2018 at 6:37

0 votes

Which statistical test should I use which variables I should compare with which ones?

answered May 17, 2018 at 12:11

0 votes

Does ReLU layer work well for a shallow network?

answered Jul 5, 2018 at 16:53

Stack Exchange Network

26 Answers

What is a sensible order for parameter tuning in neural networks?

Bias induced from model selection

How can i start learning about using neural networks for time series analysis and forecasting?

How is the standard deviation in this coin tossing experiment calculated?

Variance/bias trade off regularisation penalty - why does it take this form?

Are there 99 percentiles, or 100 percentiles? And are they groups of numbers, or dividers or pointers to individual numbers?

Interpreting Ensemble Models

LSTM time series forecasting accuracy

probability of repeated events

what is the standard error for hypothesis testing of two proportions using a z-test?

NN works well on preproccessed data, but results are poor after de-normalizing - predicting non-normalized prediction values using NN?

in-sample data vs out-of-sample data

How or when to use cross-validation (model selection, parameter tuning,..)

bias variance tradeoff -- properties that do not follow

Confidence interval for mean of m predictions

what would be the best way to find out if a student's marks is increasing with the number of attempts he or she takes for a test?

Probability Theory and distribution

Simple up/down vote rating but weighted by number of responses

Questions about performing k-fold cross validation for the first time

Appropriate probability threshold for Jarque-Bera test

Assumptions of multiple regression: how is normality assumption different from constant variance assumption?

How do I call a forecast that is both accurate and precise?

Hypothesis testing on subsamples and cross validation

How to deal with few subjects leaving the study in the sample?

Which statistical test should I use which variables I should compare with which ones?

Does ReLU layer work well for a shallow network?