Questions tagged [prediction]

prediction is the use of data, statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data. The goal is to go beyond knowing what has happened to providing a best assessment of what will happen in the future.

Filter by
Sorted by
Tagged with
2
votes
1answer
172 views

ANN and prediction

I have a list of objects. Each objects contains longitude, latitude and a list of words. What I want to do is to predict the location based on the text contained in the object (similar texts should ...
2
votes
1answer
5k views

Date prediction - periodic recurrence

If I have some data regarding the occurence of an event on a certain date and some other variables regarding it (think fe.: I have data on which dates it rained, and some addtitional data like ...
0
votes
1answer
866 views

Binary predication from binary variables

Logistic Regression generates a binary outcome for a non-binary variable. I need a binary outcome from a binary variable. This is the requirement. How to predict binary A using previous values of A?...
0
votes
1answer
1k views

Shallow Neural Net for predicting numbers other then 1 or 0?

I'm not gonna lie, I'm very new to neural networks but am also so interested in them and learning the way they work and what can be made from them. So in my endeavors for learning, I stumbled upon ...
5
votes
2answers
8k views

Using RNN (LSTM) for predicting one future value of a time series

I have been reading several papers, articles and blog posts about RNNs (LSTM specifically) and how we can use them to do time series prediction. In almost all examples and codes I have found, the ...
2
votes
2answers
359 views

Recognize and predict a periodic pattern

I need to design a controller that tries to collect as much falling objects (raindrops) from an unknown source. Beneficial to solving the problem could be the recognition of the seemingly random ...
0
votes
1answer
6k views

Feature Normalization/Scaling: Prediction Step

I'm just doing a simple linear regression with gradient descent in the multivariate case. Feature normalization/scaling is a standard pre-processing step in this situation, so I take my original ...
1
vote
0answers
305 views

Is there a way to find the weights of every feature in spark ml model?

I am using spark ml classifier to create a model to predict whether a user will buy a product or not and I am using features both continuous and categorical. The model is predicting the outcome with ...
1
vote
1answer
152 views

A/B Testing Suitability for Hypothesis

I'm obscuring the data I'm working on, but I think this should get the point across. I'm trying to design a test for the following: A client sells various popsicles. They think that on days when it ...
2
votes
1answer
1k views

Is there a way to calculate value from a radar (spider) chart?

So I am currently working on a project for "sales people". Essentially, the user is giving us a plethora of information related to deals they are trying to win. We have data related to the price of ...
1
vote
1answer
92 views

How to convert 200 bag of word features to several continuous features

I am using one text dataset for regression task. The baseline regression method (name concealed) that I employ will work well if all the input features are continuous. However, the text dataset that ...
0
votes
1answer
407 views

Matching content item to a persons profile

I'm working on an experiment which is essentially a content recommendation service. I have a set of content items in the form of articles, tweets, blog posts etc which have had a set of tags ...
-1
votes
1answer
1k views

How much should I pay attention to the f1 score on this case?

I trained a model with results as below. It is a stacking model with base learners of random forest and gradient boosting. The mega model is a GLM. The dataset is imbalanced in the target class as ...
0
votes
3answers
931 views

ML technique to predict next online

I want a direction for ML technique to predict the next time you will be online in chat app My table contains; user id, timestamp & status status is a categorical variable (online, composing, ...
3
votes
2answers
112 views

Prediction approach on unique data or progressive data

In a employee attrition analysis with a table having rowwise data for a (employee like Id, name, Date_Join Date_Relieving Dept Role etc) ...
1
vote
3answers
834 views

How to compensate for class imbalance in prediction model?

I'm trying to run a prediction model on a customers' data set to predict the likelihood that a new customer would be interested in buying product X, offered by a company that sells products X,Y and Z. ...
2
votes
0answers
597 views

NARX Network Multi-Step Forecasting Question

I've been attempting to do multi-step ahead prediction with the NARX (Non-Linear with Exogenous Inputs) Neural Network. As I understand it, this network can be defined mathematically as follow: $y(t+...
2
votes
1answer
308 views

Confusing Offset in my Support Vector Regression and other Models

I am experiencing a weird offset in my Support Vector Regression prediction (code below). A brief overview: I have a set of 10 .xls sheets as input data (each with 30 rows and 27 columns), and a ...
1
vote
0answers
236 views

Network Anomaly detection [closed]

I am working on a problem to identify anomaly in Network. I am stuck at how to handle the following issues 1. VPN Land Based Violation (Login from Multiple locations within unrealistic situation 2. ...
0
votes
1answer
237 views

Creating a neural network for predicting next vote in a series of votes

We are working on a project for creating music based on crowd sourcing. People vote for every note until the vote is closed, and then move on to the next vote until the canvas for the music is filled. ...
1
vote
1answer
138 views

Binary classification problem

Im new to ML, I have a data set for Music sales info for Vinyls, the data set contains: Author Album Title Genre Country RevenueGenerated AverageRevenueGenerated My goal is to create a Model which ...
1
vote
1answer
1k views

Orange 3 - Same prediction for all of my data when using impute widget

When I use a linear or random forest regression to train from data, I can make predictions with test data. I have a problem when I introduce the "impute" data widget in my pipeline to fill in the ...
1
vote
1answer
150 views

neural network number of input neuron

I want to predict using a multi layer perceptron. My data have 3 attributes x,y,z. My window size (input) is 3. That is, using 3 sets of values for x,y,z to predict next set of x,y,z. What should be ...
0
votes
1answer
143 views

Prediction with non-scalar output (label)

I have recently confronted with a (at least for me) new kind of ML problem, where the output of the model should be a vector/matrix (depending on the interpretation, but there is no difference ...
1
vote
0answers
40 views

Joint distribution of density forecasts

I have a panel data set and I have created a model and finally I have obtained some density forecasts. That is, I run my model for the $y_{it}$ and i obtain predictions for $\hat{y_{i,t+1}}$ , $\hat{...

1
4 5 6 7
8