User Wes

13 votes

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Cross validation for highly imbalanced data with undersampling

answered Feb 11, 2019 at 16:22

4 votes

How to use sklearn train_test_split to stratify data for multi-label classification?

answered Feb 11, 2019 at 16:13

4 votes

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What is the ideal database that allows fast cosine distance?

answered Feb 13, 2019 at 19:47

3 votes

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What does a negative coefficient of determination mean for evaluating ridge regression?

answered Feb 16, 2019 at 0:36

2 votes

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How to fill in missing value of the mean of the other columns?

answered Feb 11, 2019 at 14:29

2 votes

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How to find what values are assigned to labels that where encoded using LabelEncoder?

answered Feb 11, 2019 at 17:37

2 votes

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Why is performance worse when my time-series data is not shuffled prior to a train/test split vs. when it is shuffled prior to the split?

answered Feb 18, 2019 at 19:27

1 vote

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What is disadvantage of using CART in regression problems?

answered Feb 25, 2019 at 12:11

1 vote

Feature Engineering Lists\Vectors as values in dataframe

answered Feb 26, 2019 at 13:05

1 vote

What model is suitable for classification of a small data set?

answered Feb 27, 2019 at 14:10

1 vote

When I would use a specific similarity coefficient over another?

answered Feb 11, 2019 at 16:41

1 vote

receive value error decision tree classifier after one-hot encoding

answered Feb 11, 2019 at 15:08

1 vote

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Splitting image dataset with few subjects but many data

answered Feb 11, 2019 at 13:43

1 vote

Is a good shuffle random state for training data really good for the model?

answered Feb 18, 2019 at 14:53

1 vote

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Predicting Intent to do X with a confidence score or intent percentage score?

answered Feb 11, 2019 at 18:38

1 vote

Constant Learning Rate for Gradient Decent

answered Feb 11, 2019 at 21:34

1 vote

Online vs Batch Learning in Latent Dirichlet Allocation using Scikit Learn

answered Feb 12, 2019 at 22:28

1 vote

Does a precision score increasing with a higher number of folds mean the model will improve with more data?

answered Feb 13, 2019 at 18:10

0 votes

How to handle features which are not always available?

answered Feb 12, 2019 at 13:05

0 votes

How to integrate google cloud with dropbox and jupyter notebook using tensorflow

answered Feb 18, 2019 at 15:09

0 votes

Least Squares optimization

answered Feb 11, 2019 at 17:57

0 votes

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Is there any formal explanation for the sensitivity of AdaBoost to outliers?

answered Feb 19, 2019 at 16:32

Stack Exchange Network

22 Answers

Cross validation for highly imbalanced data with undersampling

How to use sklearn train_test_split to stratify data for multi-label classification?

What is the ideal database that allows fast cosine distance?

What does a negative coefficient of determination mean for evaluating ridge regression?

How to fill in missing value of the mean of the other columns?

How to find what values are assigned to labels that where encoded using LabelEncoder?

Why is performance worse when my time-series data is not shuffled prior to a train/test split vs. when it is shuffled prior to the split?

What is disadvantage of using CART in regression problems?

Feature Engineering Lists\Vectors as values in dataframe

What model is suitable for classification of a small data set?

When I would use a specific similarity coefficient over another?

receive value error decision tree classifier after one-hot encoding

Splitting image dataset with few subjects but many data

Is a good shuffle random state for training data really good for the model?

Predicting Intent to do X with a confidence score or intent percentage score?

Constant Learning Rate for Gradient Decent

Online vs Batch Learning in Latent Dirichlet Allocation using Scikit Learn

Does a precision score increasing with a higher number of folds mean the model will improve with more data?

How to handle features which are not always available?

How to integrate google cloud with dropbox and jupyter notebook using tensorflow

Least Squares optimization

Is there any formal explanation for the sensitivity of AdaBoost to outliers?