Questions tagged [machine-learning-model]

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3
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1answer
36 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 - ...
1
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1answer
14 views

Remove correlated features before or after splitting test and training set?

I want to remove highly correlated features before training my classifier. I am wondering if I should do this before or after splitting the test and training set. I don't immediately see how doing it ...
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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 ...
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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 ...
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2answers
23 views

Update machine learning model while retaining the prediction results exact for old data

New to ML here. In our industry, we are looking for a type ML method/model that can be updated to accommodate new data points while keeping the prediction value of the historical data exactly the same....
2
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1answer
11 views

Will images modification get me a better machine learning model?

Will images modification get me a better machine learning model? I have the following scenario. Camera is fixed and does photos of a process. The process has a few states. Now I want to train a model ...
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2answers
21 views
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0answers
10 views

Data set compatability with LSTM's or convLSTM's

I am currently working on a data set which has the structure - frames x Number of Objects. Each object is of size 7x5 and the task is to classify each object into one of the 4 classes. I have been ...
1
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1answer
32 views

Is there a flexible way to get the original data indices from each cell of a confusion matrix?

Let's say I have model A and model B, that I want to compare the performance of by inspecting a confusion matrix. They both produce a list of predictions, pred_A ...
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0answers
8 views

How do we use a Hierarchical clustering model with DTW again?

I've been trying to cluster time series of shape (1, 400), so 1 row and 400 columns which correspond to 400 timesteps. My train set is of size (1000, 400) so 1000 time series. I have calculated a ...
0
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2answers
27 views

Machine learning and time-based data

I want to predict conversion rates for an eCommerce store. I have data from Google Analytics with features like averageSessionDuration, bounceRate, numberOfVisitorsBySource etc. and the corresponding ...
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0answers
9 views

What are the motion planning benchmarks?

Suppose I wanted to try and improve on existing motion planning algorithms. What benchmarks should I be trying to beat? Papers with code site has no motion planning benchmarks. I searched online and ...
1
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1answer
40 views

Classify tweets by topic [closed]

I am approaching machine learning for the first time because of my studies. I have been given a bunch of tweets and the goal is to classify them per topic. I really have no clue on how this should be ...
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0answers
6 views

What Are Some Good Ways To Implement The Reptile(OpenAI) Algorithm or Similar Few Shot Classification Models?

What libraries can I use to implement the Reptile algorithm or a similar Few-Shot algorithm in Python? I tried to take some examples and alter them to work for my case, but I couldn't figure out how ...
0
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1answer
28 views

Does shuffling the training data matter in a K Nearest Neighbors Classifier model?

I am new to machine learning and I have a couple of questions about a project. So, I created a classifier using the MNIST data set for a ML project that I was working on. I augmented the data by ...
-1
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1answer
28 views

Train and test the model using 2 separate datasets [closed]

I have a big data-set (14K subjects) and a small data-set (100 subjects). Both have same number and similar features (20). They are not overlapped. I used the big data-set to train a regression model ...
1
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0answers
9 views

Wavenet - how are the skip connections from the residual blocks utilized?

I've been attempting to implement the Wavenet paper: https://arxiv.org/pdf/1609.03499v2.pdf In the paper, the main diagram they use to describe the architecture is this one: The paper mentions the ...
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0answers
13 views

Extracting best model from autokeras

I am using autokeras for my binary classification and i got these results: ...
1
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1answer
19 views

Standarizing the Label to postive intergers in Machine Learning Classification task, why is it recommended?

When doing a classification task suppose we have 3 targets with notation -2, -1, 0. I read somewhere it is a good practice to Standardize the labels to positive integers.. In this case suppose we ...
4
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2answers
80 views

What is the best model for a recommendation system using implicit ratings?

I have a similariy matrix that looks like this: I have a bunch of user vectors with 1s and 0s, with a 1 indicating that someone has clicked on an email (as part of a campaign) and zero to indicate ...
0
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1answer
23 views

Does testing a training dataset guarantee successful results?

If I test an image that has been previously used to train a classification model, is it guaranteed to classify correctly? My guess is that since the parameters have been trained with other images as ...
0
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1answer
15 views

how are split decisions for observations(not features) made in decision trees

I have read a lot of articles about decision trees, and every one of them only focused on telling how a feature/column is considered for split, based on criterion like gini index, entropy, chi-square ...
1
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1answer
15 views

How many run should we implement on the machine learning model?

Theoretically, we can implement fix seed on the machine learning model to get the same results every run (reproducible)but it may leads to bias. So, in order to prevent bias, I gonna run the model ...
2
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0answers
18 views

What branch of data science to use for revealing preceding conditions of desired outcome

On financial data series, I would like to determine if some conditions precede a desired outcome. For example, let's take as an example the daily data of a stock. On some days, the stock experience ...
0
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1answer
50 views

Are there any control-flow/conditional statements in AI/ML models?

I was recently asked this during an interview. When we write a C program, it has a control-flow in the form of conditional statements like if, ...
1
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2answers
39 views

Why should I use data augmentation as Keras layer

I've seen in several Tensorflow/Keras tutorials that data augmentation functions are added as keras layers. When I converted my Keras Python model (for production purpose) to TensorflowJS I faced the ...
0
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1answer
34 views

Why use regularization?

In a linear model, regularization decreases the slope. Do we just assume that fitting a lin model on training data overfits by almost always creating a slope which is higher than it would be with ...
0
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0answers
38 views

How to set thresholds to automate the management of model drift?

I have a trained ML Model and new data coming in every week. The new data sometimes vary too much (in a statistical sense) and, therefore, the performance of the ML model degrades. The data-set schema ...
0
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0answers
13 views

Text Vectorization requires TensorFlow version >=2.1

I try do to a neutral network with keras using R. For that I use the function layer_text_vectorization(max_tokens, output_sequence_length). However, when I execute it, I get the following error: ...
0
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0answers
24 views

Is there any way to logically partition dataset while training model?

I have list of questions (~5k) that are open ended and I want to check answers with pre trained ML model. Schema for train dataset looks like this: ...
1
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1answer
25 views

Neural networks with not-fixed dimension for input and output

I would like to know if it exists a model/method which can deal with input and output of different dimension. For example, let us say that the maximum number of info we could have is 6 features and 5 ...
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0answers
22 views

tflite.runForMultipleInputsOutputs returns NaN

This is the tflite model being used This is the code to run tflite model ...
0
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1answer
25 views

K-means clustering to separate temperature vertical profiles

I have temperature measurements from weather stations in a mountainous region and I want to obtain a vertical profile from these data at any given time. In a simple case one can just plot all values ...
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0answers
10 views

Learning conditional statements from natural language

Natural language text in emails might have conditional statements in them. Are there any technical papers and methods that explore converting unstructured text (eg. emails) into structured conditional ...
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0answers
16 views

Detection of a very large object (vehicle) in a single static camera

I'm trying to make a deep learning model for an automated detection and classification of vehicles (i.e cars, bus, trucks, etc) in a paid parking lot, but since the cameras are too up close for a ...
2
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1answer
45 views

Can we use two independently measured features in a same ML model? [closed]

Two features are measured at different times but belong to the same target. In which conditions or form these features can be modeled together? Or they shouldn't be used in the same model but modeled ...
1
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1answer
67 views

From Labels to Graph: what machine learning approaches to use?

Imagine a world where we have places (e.g., cities, restaurants, national parks, etc.) but no roads connecting them. Our objective is to build roads connecting any two places while going through some ...
0
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2answers
99 views

Merging Training and Validation Sets for better accuracy

I am training an Image Classification Model and my train-test set distribution is 80-20. After Training my train-test loss curve looks like this As the model is converged after around 20-30 epochs ...
0
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1answer
35 views

Why does a simpler model performs better than a complicated one?

This has happened to me, a complicated model couldn't solve the problem when a simpler one solved it in a few epochs. How is that? I believed that a more complicated model means more number of ...
1
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0answers
16 views

Train a cascaded network with a classifier in between

I am attempting to do a two-fold task. The input is an image and based on the input I want to pick another image from a set of images (classification task) and then use both the images to obtain an ...
1
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1answer
41 views

Hypothesis vs Hyperplane in Machine Learning

I am finding it hard to understand the clear difference between Hypothesis and Hyperplane. I know that Hypothesis is a candidate model that maps inputs to outputs after training . And , Hyperplane is ...
0
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1answer
10 views

Which model for a content suggestion in which only some of the items are currently available

I am trying to understand the type of model that would be used in a content suggestion scenario where not all of the choices are available at a given time. For example, when an online movie ...
0
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1answer
29 views

Machine learning algorithms for Geometrical objects shapes identification

Are there Machine learning algorithms which will take input dataset of all geometrical objects shapes as images in gif,jpg,tiff formats & output the geometrical shapes names? i.e. Geometrical ...
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0answers
13 views

When the generator fit calls the “fit_generator” function that i've created

To understand better how the fit generation works I want to know if the "fit generation function" is called only once per epoch (And in each epoch is trining to minimize the gradient of a ...
1
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0answers
25 views

How to change Linear model in SGDClassifier scikit learn?

The SGDClassifier of scikit learn defines it as "Linear classifiers (SVM, logistic regression, etc.) with SGD training.". I understand from this that any Linear classifier can be used here. ...
4
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1answer
53 views

What ML architecture fits fixed length signal regression?

My problem is of regression type - How to estimate a fish weight using fixed length signal (80 data points) of the change in resistance when the fish swim through a gate with electrodes (basically 4 ...
-1
votes
1answer
42 views

Machine learning, speech recognition technologies for Sound of Animals interpretation [closed]

https://www.google.com/search?q=sound+of+animals&client=ms-android-lava&prmd=inv&sxsrf=ALeKk02xrn0-yn-FZSkidTogB4l4B_TH6A:1600539091086&source=lnms&tbm=isch&sa=X&ved=...
1
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1answer
49 views

Modifying binary classification to Multi-Class Classification (Logistic Regression) [closed]

I am using this code that I found here for logistic regression for binary classification with 2 classes. Git Repo The data that I am testing with is calling for multi-class classification (6 classes). ...
0
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1answer
41 views

How to perform upsampling (and NOT interpolation) process theoretically modelled?

As an example, I know that sampling a signal $s$ is modelled by multiplication of s by a dirac comb, which has the effect of convolving the Fourier Transform (FT) of $s$ by the FT of the dirac comb ...
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0answers
44 views

Support Vector Machines

I have ASCII data which converted from raster data in ArcGIS. I would like to use Support Vector Machine (SVM) algorithm to create a flood prediction map. My question is that can I use ASCII file ...

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