Questions tagged [machine-learning]

Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.

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1answer
895 views

Multiple variable as input and output

I'm trying to predict the possible diagnosis given a consultation reason. I have ID's for all the data. So my data kind of looks like below ...
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2answers
64 views

Determine if a piece of text is a job ad

I am interested in learning more about the field of ML and more specifically in text classification. Given a piece of text, is there any technique or algorithm to determine if that piece of text ...
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0answers
78 views

Maximum Dimensionality of AWS Machine Learning

I am toying with AWS Machine Learning and I have a dataset with about 200 records with about 220,000 variables each. Apparently, AWS Machine Learning has a hard limit of 1000 variables. How can I ...
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1answer
868 views

Naive Bayes Predict type = 'raw' returning NA

I have build a naive bayes model for text classification.It is predicting correctly.But it is returning 'NA' in prediction results if i put 'type = raw'.i have seen some results in stackoverflow to ...
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1k views

Feature Importance and Partial Dependence plots seem to disagree?

I need some help understanding my partial dependence plots for binary features passed to a GradientBoostClassifier when comparing them to the feature importances. For some background, my goal here is ...
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0answers
195 views

Algorithm to create graphics from scribble

I want to implement a system that takes as input scribbles (i.e. drawings with writings on paper, input to the algorithm is a photo of this) and outputs the forms / writings e.g. in Powerpoint. What ...
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0answers
523 views

HMM - Matlab for data set to detect anomaly

I have a dataset of oil temperatures. The time series consist of 100 hours of measurement at every second. There is an anomaly in the data that I would like to detect using Hidden Markov Models (HMM). ...
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1answer
43 views

Experiment click to lead prediction with Azure ML

I am experimenting now with the Azure ML Studio and I am trying to predict leads based on the clicks I have. I am exporting a data set of 60.000 Clicks and 8.000 Leads from these clicks. My data ...
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1answer
46 views

Estimating box size from the contents

I'm currently on week 4 of my Coursera course on ML, so I have much to learn about data science. However, I got the opportunity to apply what I've learned at work, and I'd like some guidance. Our ...
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1answer
53 views

What is advantage of using the theory of point processes instead of probability distribution functions?

I am interested in applications of point processes in machine learning, so I have been studying the theory of point process. However, I cannot see advantage of the theory of point processes compared ...
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1answer
100 views

Amazon SageMaker input data?

I am exploring Amazon SageMaker as a scalable machine learning solution. My question is; is it required that the training data first be uploaded in Amazon S3?
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1answer
22 views

datatypes as input in machine learning algorithms

I have a dataset and I am trying to perform binary classification by using different machine learning algorithms I have seven columns as input where all are int64 except of one that is float64. So my ...
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1answer
44 views

Is it possible to implement a Recommender System without having a ratings/previous purchases similar data?

I'm trying to implement a recommender system for a website that hosts a wide variety of software and you can search the website to find what you need. The need is to implement a recommender system to ...
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1answer
244 views

Issues in plotting Images using Keras

I am trying to visualize Skin Cancer Images using Keras. I have imported the images in my notebook and have created batch datasets using Keras.image_dataset_from_directory. The code is as follows: <...
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1answer
488 views

ROC Curve and AUC value of SVM model

I am new to ML. I have a question so I am evaluating my SVM model. Example: ...
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1answer
17 views

Can neural networks detect delay of inputs affect

Trying to make a model that predicts the stock market's total index by giving dollar price and inflation percentage as inputs, I know for sure, By changing the value of dollar price the stocks market ...
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1answer
46 views

Algorithm for Multivariable timeseries prediction (COVID forecast)

I am trying to forecast tomorrow's COVID-19 cases in my country. I tried a simple Linear Regression implementation based on the "new_positives" field but it does not work very well. I had ...
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1answer
81 views

How to approach the dataset with a continuous and discrete label?

Let's say you're predicting the amount of money to bet in a poker game. Based on the game situation, you might decide to fold. In that case, the amount of money to bet is zero. If you decide to call ...
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2answers
47 views

Improving Keras Training Accuracy

I am currently writing a program to predict the severity of a biopsy for Prostate Cancer using Keras. There are 6 different ratings from 0 to 5. Currently the accuracy is stuck at about 16% which is ...
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1answer
82 views

Data model with more outputs than inputs?

I am working on parametric studies in physics simulations, i.e. I vary some real input parameters (e.g. x0,x1,x2,x3) and get an output with a larger size (e.g. y0,y1 ... y100). Assuming that I have a ...
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1answer
731 views
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1answer
106 views

Sklearn SVM question classification

So, I have found that there are many ways to classify words with sklearn's SVM algorithm. But I want to classify questions by taxonomy, as shown in the following dataset: The goal of this task is to ...
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1answer
39 views

What is the best way to select unimportant columns for binary classification?

There is a dataset with one binary attribute (dependent variable) 0 or 1. Distribution 57/43 My task is to find such combinations of signs in which the accuracy of predictions 0/1 will increase to 70% ...
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1answer
33 views

Does Anomaly Detection Algorithm works when the features are not correlated?

I am working on an Anomaly Detection Problem and the algorithm I used is an Autoencoder Multivariate Gaussian. The problem with my data is that it is unlabeled and not correlated. For example, let's ...
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1answer
57 views

deep learning and uncertainty estimation

Recently I got very interested in NLP applications of deep learning. Diving into literature (on arXiv for instance) I noticed that is very unpopular to quote and estimate uncertainties on scores of ML ...
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1answer
38 views

How to explain the results from this kmeans?

I got the following results by using k-means algorithm. There are $10$ elements in Cluster $0$ and $3$ elements in Cluster $1$. Do you think it makes sense and it might be an acceptable result? How ...
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1answer
27 views

Multi-Data Type Clustering

I have data with text, categorical, and numeric columns and would like to find a clustering algorithm that can handle all three of these data types. I am struggling to find a solution that would ...
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1answer
130 views

Proper workflow for model selection and hyperparameter tuning using cross validation

I have been trying to teach myself about machine learning and wanted to make sure I had the right idea about model selection, hyperparameter tuning, and cross validation. So given a data set, my ...
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1answer
36 views

How does regularization help?

What is the effect of regularization on the value of parameters/weights? How does adding a regularization term in the cost function(J) and gradients help? Doesn't adding something increase the cost ...
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2answers
587 views

ValueError: Error when checking input: expected dense_9_input to have 2 dimensions, but got array with shape (60000, 28, 28)

I'm doing a regular detection of numbers from photos with MNIST, but when i try to fit my model, it doesn't work, and it dispayed this message... ...
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1answer
331 views

How to handle time series missing values

I have a database of thermal consumption of 100 buildings. Each file has two columns, one is timestamp and the other is usage. My task is to build a prediction model for forecasting the usage for the ...
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1answer
33 views

Machine learning analysis for data set

I have a data set that contains houses, different features, and its prices. I'm trying to do an advanced analysis for this data set, I already did house price prediction analysis using different ...
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1answer
118 views

Can a machine learning model be trained on Call Detail Record(CDR) Data to predict user's daily locations?

I have a CDR data for two months and my goal is to extract daily or frequent locations(cell towers) of the user along with the departure and arrival time on those locations. The spatial resolution of ...
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1answer
26 views

what features can I get from the sample?

I have dataset of 100 000 words labeled by surname(is last name / not last name) Example: kitchen | 0 kennedy | 1 etc. I tried extract lenth of word, count of each letter and such simple features ...
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1answer
32 views

Advice on machine learning for small inputs and outputs

I am planning on using a machine learning algorithm to learn the mapping between sets of four coordinates (x,y,z + a distance d ...
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1answer
483 views

Finding cosine similarity score

I have a dataframe that looks like this: sentence intent hi greeting hello greeting buy this buy whats up conversation . . What I'd like ...
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3answers
953 views

why the sigmoid function will be 1 and 0 if we use a fully connected layer that produce a big enough positive(res negative )output

HI I am using a fully connected network that uses sigmoid if we feed a a big enough weights the sigmoid function will finally become 1 or 0 , is there any solution to avoid this ? and will this lead ...
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1answer
52 views

R package vs REST API

I have a logistic regression algorithm in R to predict irresponsible users. I need this to be as flexible as possible for any market. I would need to use the logistic regression algorithm to ...
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1answer
36 views

If There is a case where decision trees are getting overfitted so by using gradient boost method do we solve that problem?

I have came across a case where my decision trees are getting overfitting so by using methods like gradient boost can I solve that problem.
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2answers
215 views

Similarity measure before and after dimensionality reduction or clustering

I have a dataset with 500 000 samples, each sample contains 30 features. The values of the features are in the range 0.0 to 1.0. ...
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1answer
45 views

Identify specify areas in the text

I'd be interested in identifying various areas in the text message. Let's say I have a text containing some introduction, then there is a poem and at the end there are some urls to some web pages. I'...
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1answer
184 views

Predicting for future date

How do I predict a category of data for a future date ? Example: what will the Sales figure for region (or region wise) for a particular date in the future based on the sales person past data for a ...
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1answer
2k views

my r2_score is negative

My work at college is to estimate the value of some points. So, I need to predict 8 points based in another 8 points. When i run the algorithm, the output values are not even close to the input ...
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1answer
4k views

Using both positive and negative values as neural network input?

In neural networks, we sometimes convert the input to z-scores. However, z-scores contain both negative and positive values, if we use such numbers as input, it seems that in some cases the neural ...
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1answer
169 views

Building a model to predict how likely someone is to answer the phone based on past call history and demographics?

Imagine you have a list of everyone in your network. You want to know how likely they are to answer the phone. There are several people in your network that you have called multiple times (some of ...
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1answer
106 views

Alert generation on unseen data using deep learning

I am new in neural network and deep learning, trying to create a deep learning model to classify images. While reading blogs and videos, a question comes in my mind and not able to find the correct ...
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3answers
83 views

Assigning a value to Y for regression

I'm creating a system to evaluate a risk level that grows as it approaches in time to the crisis event. This risk level ranges from 0 to 100, it's a self made index, totally arbitrary. I have a ...
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2answers
412 views

How to find categorical features from a vector representation of text?

The context of the question: I have a pandas dataframe where one column has text values and others have categorical values. I trained a word2vec model with ...
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1answer
496 views

Error in y.predict.trend + y.predict.complement : non-conformable arrays

I was using Dicekrigging in order to Bayesian optimization in R. While finding the acquisition function I got the specified error. I got stuck for many hours. Any kind of help is appreciated. <...
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1answer
268 views

What are the drawbacks of V-measure clustering evaluation method?

What are the drawbacks of V-measure clustering evaluation method? For evaluating what clustering algorithms, is the V-measure evaluation method suitable?