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Results tagged with deep-learning
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user 64876
a new area of Machine Learning research concerned with the technologies used for learning hierarchical representations of data, mainly done with deep neural networks (i.e. networks with two or more hidden layers), but also with some sort of Probabilistic Graphical Models.
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907
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Extract data from facebook
I am learning about social media analysis. I am aware that we can extract the data from twitter using hashtags and API. Ex; If I use #covid19, I will get all tweets that contain this hashtag for the d …
- 2,655
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votes
1
answer
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What is noise-tolerant learning?
I was reading this paper and came across the below paragraph. Can you please help me understand what does the highlighted term noise-tolerant learning or noisy-labeled training data mean with a simple …
- 2,655
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2
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117
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How to compute score and predict for outcome after N days
Let's say I have a medical dataset/EHR dataset that is retrospective and longitudinal in nature. Meaning one person has multiple measurements across multiple time points (in the past). I did post here …
- 2,655
1
vote
1
answer
737
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group similar subjects and train only using them
I have a dataset with 5k subjects. It's a binary classification problem where I have 3000 positive and 2000 negative subjects.
Now to build a model, I don't like to train the usual way (where we build …
- 2,655
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vote
1
answer
388
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Books on time series and sequence classification
Though I have been using traditional machine learning algorithms (Regression and Classification) , I have no experience of using Time series and would like to understand what is time series and differ …
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1
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94
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How to transform specific type feature to yield better prediction?
I have a dataset with 5K records focused on binary classification problem. I have about 60 features.
Out of 60 features, around 45-46 features are of 'Min' and 'Max' type.
For example, minimum blood …
- 2,655
2
votes
2
answers
1k
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How to yield better AUC score?
I have a dataset with 5K records and 60 features focused on binary classification. Class proportion is 33:67
Currently I am trying to increase the performance of my model which is stuck at F1-score o …
- 2,655
2
votes
2
answers
4k
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Why SVM gridsearch takes longer time?
I have a dataset of 5K records and 60 features focussed on binary classification. Please find my code below for SVM paramter tuning. It's running for a longer time than Xgb.LR and Rf. The other algori …
- 2,655
1
vote
1
answer
616
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How to perform Permutation Feature importance?
I am trying to perform feature selection. Currently with Tree based classifiers, even randomly generated column is ranking above some of my real columns. So I was reading about PFI. Can someone help m …
- 2,655
1
vote
1
answer
369
views
How to choose input variables for ML
Let's say I have a huge database with 100K records and 60 columns. Let's say one of the column is "min_p". What I do is apply some logic/rule to determine the output label for this record. Basically I …
- 2,655
2
votes
1
answer
45
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How to justify a predictor in influencing the outcome?
I am working on a prediction (binary classification) problem
Currently I get an AUC score of 85-86 and F1-score of 81
Questions
1) The above performance is based on 6 well-known features
2) Let's …
- 2,655
2
votes
1
answer
1k
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How to interpret dummy variable in ML prediction?
I am working on a binary classification problem where I have a mix of continuous and categorical variables.
Categorical variables were created by me using get_dummies function in pandas.
Now my ques …
- 2,655
0
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0
answers
79
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Why a significant risk factor doesn't increase AUC-score/F1-metric?
I have a binary classification problem with 5K records and 60+ features/columns/variables. dataset is slighlt imbalanced with 33:67 class proportion
What I did was
1st) Run a logistic regression ( …
- 2,655
2
votes
2
answers
2k
views
How to perform bootstrap validation?
I am working on a binary classification problem.
I ran cross-validation and grid-search on train data. Later I validated the model on my test data as shown below
logreg=LogisticRegression(random_sta …
- 2,655
0
votes
1
answer
333
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1: 10 rule in logistic regression - EPV
I have a dataset with 4712 records. Label Yes - 1558 records and Label No - 3554 records.
I read online that 1:10 rule is based on the frequency of lower occurring class.
In my case, frequency of lo …
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