Questions tagged [machine-learning]
Methods and principles of building "computer systems that automatically improve with experience."
8,553
questions
1
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1answer
11 views
Keras 1D CNN always predicts the same result even if accuracy is high on training set
The validation accuracy of my 1D CNN is stuck on 0.5 and that's because I'm always getting the same prediction out of a balanced data set. At the same time my training accuracy keeps increasing and ...
3
votes
0answers
11 views
At what stage are ROC curves used when building machine learning model?
When developing a machine learning model, at what stage are ROC curve with AUC used?
Typically I have three data sets
train - ...
2
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0answers
8 views
Cannot understand feature extraction
I'm following an AI course and we've just entered the deep learning chapter. Speaking about the difference between classic machine learning models and deep learning, it turns out one of the most ...
1
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1answer
17 views
Creating features from raw accelerometer data
I have a dataset containing raw 3-axis accelerometer data collected from a users lower leg and I want to create a classification model (as simple as possible) that detects if the user is sat down or ...
0
votes
0answers
10 views
What is explicit fitness sharing in NEAT?
I cannot understand what is explicit fitness sharing. Could someone explain it?
1
vote
1answer
23 views
How to impute missing value in Test Set using a custom Imputer created on training dataset
I am working on a toy project to predict claims. One of the input features has null values on which I have applied a custom imputation technique.
Under this technique, I replaced missing values with ...
-1
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0answers
19 views
What does 'specie' mean in the Neat Algorithm [closed]
What does 'specie' mean in the Neat Algorithm?
NEAT Algorithm Papers: Here
0
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0answers
13 views
Should I resize my object localization dataset in order to train a fully convolutional network?
I want to create a fully-convolutional neural net that trains on wider face datasets in order to draw bounding box around faces. The dataset is highly diverse in the image sizes. So my question is, ...
1
vote
1answer
20 views
Representing the architecture of a deep CNN [duplicate]
Suppose I am feeding a $60\times60$ RGB image as the input to deep CNN with the first layer created using the following Keras code ...
0
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0answers
14 views
What are some good techniques to decrease the size of Image Embeddings returned by CNN model?
I want to extract features from pre trained ResNet model for over 2M data. Problem? Even with the average pooling applied on the last layer's result, it provides a ...
1
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0answers
30 views
ValueError: y should be a 1d array, got an array of shape () instead
I'm using a reviews data and trying to apply classifier model and get prediction. Here is the code i'm trying.
...
1
vote
1answer
19 views
How can I classify specific types of words in a document given I have the full text of the document and the labels
I am working on a project that involves picking out specific kinds of objects from text. The documents I am going though are life sciences and biomedical in nature, and in these documents there are ...
1
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0answers
11 views
Feature engineering and longitudinal data
I need some advice for my feature engineering.
Suppose I have 90 days follow-up data. on 12 patients and I have the vital status of the patients at the end of these 90 days (deceased=1, alive=0)
...
1
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0answers
8 views
What are the business metrics I should track to evaluate a recommender model deployed on an e-commerce website? [closed]
Can you suggest some google analytics metrics such as (click or impressions etc) to evaluate a recommender model deployed on an e-commerce website.
-1
votes
2answers
19 views
What is the name of this basic machine learning example?
Some time ago I was reading a book on machine learning in which they had an example that would take some data and try to determine based on weather, temperature, humidity and Wind if a sports team ...
0
votes
1answer
19 views
Terminology of time series
The terms Time Series Analysis, Time Series Forecasting, and Time Series Modeling are widely ...
1
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0answers
25 views
Suggestions for Open-Source Tool for Image Classifications (with Nesting)
I'm looking for an open source tool to assist my colleagues and I to label images for a machine learning application. We don't actually need bounding boxes or anything to pinpoint regions within each ...
0
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0answers
5 views
What should be the MINIMUM value of 'k' in LSH (Locality Sensitive Hashing) for 20M + data points?
For 20M + images, I'm thinking about using LSH for similarity of Vectors or data points or more precisely image Embeddings ...
-2
votes
0answers
17 views
LSE linear regression [closed]
I have the following:
Training set - X values mapped to 4 different y values [400x5]
Test set - X values mapped to 1 y value [400x2]
The objective is to get the best function which minimizes the LSE....
3
votes
1answer
14 views
Extract date/duration from text
The text and output to be extracted are similar to the following :
"Check it every two weeks" - two weeks
"Check it on day 1 and day 14" - day 1 and day 14
"day 19 and day ...
-1
votes
0answers
12 views
Here is the Case Study for Next Generation Database [closed]
How to Design an application which will have all operations like create, update, delete, display employees using MongoDB database.
Front-end should be in HTML and CSS backend should be in PHP
Design ...
0
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0answers
5 views
Unidentified Image error while loading images on Google Colab
I'm writing a code to make movie genre classification with movie posters.
I opened a github repository where I put all the posters and cloned it on Colab. Until here, eveything works fine.
When I'm ...
0
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0answers
8 views
How to interpret feature importance in text classification using Fasttext?
Once the text is converted into a vector of size(1,100), how can we interpret and backtrace a word's importance which helped in classification?
2
votes
1answer
24 views
Explanation of why Neural Networks are non convex
Why having a symmetry of values for the hidden state imply that the neural network is non convex? I could not find an intuitive answer for this yet.
Also, if we consider a Fully Connected network wtih ...
0
votes
1answer
21 views
Flipping the labels in a classification problem
Let us say A- we have a binary classifier with labels 1 as healthy and 0 as sick. The precision we got is 100% and the recall is 70%.
Now let us say B-we flip the labels where 0 is healthy and 1 as ...
0
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0answers
12 views
How to get the collective score from different test methods
im very new to this - I have a dataset of some patients with certain symptoms of sleep apnea. They were assessed for the risk of Sleep Apnea using ESS, BQ, SBQ and SACS (different testing ...
0
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0answers
24 views
Custom Machine translation not giving correct output even when using the training data for prediction
Python : 3.7
Tensorflow : 2.3
model :
...
0
votes
1answer
25 views
In which situation should we consider a dataset as imbalanced?
I'm facing a problem about making a classification on a dataset. The target variable is binary (with 2 classes, 0 and 1). I have 8,161 samples in the training dataset. And for each class, I have:
...
0
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0answers
13 views
Feature Engineering and prediction with R and python
I have a sequential dataset, and have 2000 rows for 300 ID. I have 20 variables (i.e in my real dataset)
...
1
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0answers
7 views
Is it possible to use kNN with streaming data
I have built a kNN model using scikit learn that is able to predict a binary outcome very well. The data itself is quite basic, it is simply a 1-D waveform. When feeding the waveform into the model ...
0
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0answers
11 views
Is it possible to modify or replace the basic network of YOLO?
I have an idea to adapt YOLO algorithm to my application, the original YOLO algorithm is for image classifications, which have 24 convolutional layers with output class of 1000, is it possible to ...
1
vote
1answer
31 views
Derive features from test-set?
I have a dataset of choices (between A,B and C) done by certain users, and I want to train a neural network to predict the choices. I divide in train and test sets.
An instance is formed by: [UserId, ...
0
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0answers
14 views
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0answers
16 views
How to visualise and choose parameters spectrogram tensorflow
I have audio of 3 min duration ,I have Waveform shape: (2880000,) so what should be the value for frame_length and frame_step
...
-2
votes
0answers
14 views
KeyError: 'tweets' [closed]
i am having issues with sentiment-analysis with flask api , it giving
me error,kindle share some knowledge thanks in advance
...
1
vote
1answer
21 views
Is there a rule of thumb for a sufficient number of trials for hyperparameter search
I am implementing a quite complicated Bayesian hyperparameter search in hyperopt library on a CNN.
Is there a rule of thumb for a "sufficient" number of ...
2
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0answers
19 views
Energy-Based modelling vs Deep Learning
I am doing some research on machine learning algorithms in the context of a seminar, which focuses on Energy-Based Modeling vs Deep Learning Modeling specifically in working with images. Now I know ...
0
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0answers
13 views
predict multiple letters in pixels matrix
I have a multilayer perceptron model that is trained to recognize handwritten English letters from an image. In the training set each image matrix had 784 pixel values. The labels of these images ...
0
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0answers
13 views
one-hot encoding not working properly with logistic regression [closed]
I am trying to train a logistic regression model to recognize handwritten English letters. In my test data I have 74880 images. Each image has 784 pixels. The labels correspond to the place in the ...
1
vote
3answers
34 views
Is it possible to change the input columns of a trained ML model while making predictions from it without affecting the accuracy?
Consider the following scenario.
I have trained a K-Means model on some input features, say, (A, B, C, D and E).
Now at the time of making predictions I want to make the model predict using only fewer ...
0
votes
2answers
12 views
How to retrieve column names from applying a wrapper method in feature selection?
This question probably has a simple answer to it, so I will get to the point...
How do I retrieve the names of the columns from applying a wrapper method in feature selection?
Code I have used:
...
-1
votes
2answers
33 views
Machine Learning for medical researchers [closed]
My friend is a medical researcher and he want to use machine learning for prediction.
Is there any one who is not a computer science person and he learnt programming and machine learning in a very ...
1
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0answers
14 views
Interpreting in higher dimensions with maximal spacing
I have data that I would like to interpret in higher dimension (sort of the opposite of an auto-encoder). What I intent to achieve is, an m dimension data being ...
1
vote
1answer
13 views
Base model in ensemble learning
I've been doing some research on ensemble learning and read that for base models, model with high variance are often recommended (can't remember which book I read this from exactly).
But, it seems ...
0
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1answer
18 views
What type of machine learning are able to return feature importance?
I've been using random forest to calculate feature importance however I've asked myself why random forest? so my question became what other machine learning models can calculate feature importance? ...
3
votes
1answer
28 views
I need help on how I would go about solving this problem, my apologies for the vague title [closed]
I'm a beginner in the Data Science field and I'm trying to find a way to solve this problem, but I'm not sure where to start.
Here's the situation:
I have a battery that stores and discharges energy ...
0
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0answers
15 views
getting a value error while defining a Bi-LTSM CRF model, please help thanks [closed]
I am working on a named entity recognition model using Bi-LTSM CRF.I got a value error while defining the model. The error says (Could not interpret initializer identifier: 14). The code is below.
<...
1
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0answers
28 views
How does stacking help Bias and Variance?
How does stacking help in terms of bias and variance?
I have a hunch that stacking can help reduce bias but i am not sure, could someone refer to a paper?
2
votes
1answer
64 views
ML/NN as Function Evaluator for further Optimization (maximization) - Practical Example
I am working on a production optimization problem; a very similar idea to what is described by Vegard Flovik How to use machine learning for production optimization. The following image, taken from ...
1
vote
1answer
20 views
How to detect misclasification data after multiclass classification?
I have trained a neural network multi-class classification model with around 150 classes having around 85% accuracy. Once the model is trained and deployed, it's predicting on new data and I am saving ...
