Questions tagged [prediction]
For questions about prediction of a certain quantitative or a qualitative value by an algorithm
111
questions
0
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0answers
18 views
Training different ML models on PLS transformed reduced-dimension inputs
I want to perform dimensionality reduction using Partial Least Squares on a complex, large-dimension data set before training various regression models on the reduced-dimension data set. I understand ...
-1
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0answers
26 views
How to represent billions of time series data? [closed]
I have a time series (e.g., temperature data) from 1st January 2003 to 31st December 2017 with a one-second sampling rate, which indicates there are about $24 \times 3,600 \times 365 \times15= 473,040,...
0
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0answers
22 views
Is smoothing wrong in temporal predictions?
I found this paper from 2003 about predicting Forex rates: Using Recurrent Neural Networks To Forecasting of Forex.
At the end of page 11, they say
The network we built had two inputs and one output. ...
0
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0answers
71 views
Which ML algorithm is the best for predict the next PRNG generated numbers?
I have a homework. The task is to decide, if the PRNG generated lottery is attackable/crackable or not.
Details:
Lottery:
There is a lottery game where you have to choose 8 numbers between 1-20 for ...
0
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0answers
9 views
What to predict in a limited transaction dataset?
I have been given a task with a real transaction dataset. The task is to predict something using either logistic regression or simple binary classification.
The columns are as follow:
Transaction ID
...
1
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0answers
154 views
What parameters or hyper-parameters of my model for time-series should I change to improve the MAE?
The following time series exercise is about writing the best possible model, minimizing the MAE. Helper functions normalize_series, ...
0
votes
1answer
46 views
Generating a dataset from data with "assumed" lables
I've got a task similar to the following:
Out of x amount of people, I need to predict, who could be a good athlete and who not. The thing is, I don't have data on the athletic performance of those ...
1
vote
0answers
23 views
Should I train a neural network with data with or without a constraint?
I want to train a Neural Network (NN) using a dataset. I want to use the NN model as a prediction function in one algorithm. However, in the algorithm, any data that does not meet a specific ...
2
votes
1answer
95 views
Closed networks vs Networks with a removed delay to predict new data
I've come across two types of neural networks to predict, both from Matlab, the closed structure and the net that removes one delay to find new data.
From Matlab's app generated scripts we see:
% ...
5
votes
4answers
3k views
How can I predict the next number in a non-obvious sequence?
I've got an array of integers ranging from -3 to +3.
Example: [1, 3, -2, 0, 0, 1]
The array has no obvious pattern since it represents bipolar disorder mood swings.
What is the most suitable approach ...
0
votes
1answer
34 views
How to construct a model to predict the value of a time series $y_t$ that depends from other time series $\bar{X}_t$?
I would like to know what are the standard approach to construct a model to predict the value of a time series $y_t$ that depends from other time series $\bar{X}_t$. I use to see around that for this ...
0
votes
1answer
20 views
How can I use a prediction model (e.g., ARMA model or LSTM) for multi-variate data?
I have a question
I have had a dataset below
...
0
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0answers
10 views
Recommendation and prediction system for learning performance of students
I would like to start my master's thesis soon. The topic is "the use of collaborative filtering for creating recommendations and predictions of learning performance".
I have a dataset that ...
1
vote
1answer
37 views
What is a better approach to perform predictions of time-series several values ahead?
Suppose one has a time series (univariate or multivariate) and the goal is to predict values of these series several steps ahead. I see two possible strategies:
Create a model (recurrent, ...
1
vote
1answer
60 views
Has someone correctly predicted one of the variants of SARS-CoV-2 (like the Delta variant)?
Without any evidence, I have wondered it might be possible to predict the upcoming mutations of the COVID-19 virus. I am further assuming people did so.
So, has someone correctly predicted the ...
0
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0answers
52 views
What are the standard ways to measure the quality of a set of numerical predictions that include uncertainties?
I have a radial basis function that supplies uncertainties (standard deviations) with its predictions, which are numerical values.
This function is computed for a particular point by computing its ...
0
votes
0answers
31 views
Do the training and test datasets need to be equally preprocessed as one whole dataset?
I have developed, trained and tested an NLP model. It is persisted in a pickle file. The model contains the data preprocessing function that includes text cleaning and new features engineered with ...
1
vote
0answers
72 views
How to train a machine learning model with multiple attributes and one target value?
I'm working on a machine learning problem where I need to guess which customers will churn and which of them will continue to be customers.
I have $X_0, X_1, X_2, X_3, X_4, X_5$ and $X_6$ attributes ...
1
vote
1answer
43 views
Machine Learning in relation to personality and behaviors predictions
I am tasked with making a machine learning model that predicts personality traits and behaviours of children based on simple and interactive quizzes.
Currently I am lost and have no idea where to ...
1
vote
1answer
46 views
Predict time series from initial non-time dependant parameters
I'm trying to create an algorithm (neural network) that is able to predict a time series from a set of different parameters that are not given through time. Let's say I have a plane flying under the ...
0
votes
0answers
25 views
Is it possible for an artificial neural network to be able to make predictions based on others made in previous moments?
I have an artificial intelligence project in my hands and my goal is to train an artificial neural network, a stacked hourglass network (SHN) in particular, to predict the jointed skeleton of dogs.
...
1
vote
0answers
45 views
How to improve prediction performance of periodic data?
I have a 1 column dataset of $50 000$ points where 95% of the values equal $-50$. The data looks like the following: $$\begin{matrix}
\text{time} & \text{value}\\
1&-50 \\
2&-50 \\
3&-...
0
votes
1answer
62 views
Extracting information from RNA sequence
I am relatively new to machine learning, and I am trying to use a deep neural network to extract some information from sequences of RNA.
A quick overview of RNA: there is both sequence and structure. ...
1
vote
1answer
44 views
Multi class text classification when having only one sample for classes
I have a dataset of texts, each text was identified with an ID number. I would like to do a prediction by finding the best match ID number for upcoming new texts. To use multi text classification, I ...
1
vote
2answers
98 views
Can cryptocurrency charts be estimated using neural networks?
If I were to make a neural network that predicts the value of e.g. Bitcoin tomorrow based on the chart of the last month, would that work? Of course, 100% accuracy cannot be reached, but a success ...
0
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0answers
40 views
Which is the best algorithm to predict the trajectory of a vehicle using lat/lon data?
I'm using Kalman Filter approaches and I've just implemented the extended Kalman filter (EKF) with my object 2D trajectory. However, I have a mess of alternative approaches that may fit better like ...
0
votes
1answer
178 views
How to do early classification of time series event with small dataset?
I would like to build a real-time binary classifier that can predict an event of interest that is occurring as soon as it starts. These are electromyographic signals, and the event classification ...
0
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0answers
226 views
How to deal with predictions for data outside the range of the training dataset in neural networks?
I’ve set up a neural network model to experiment with predicting foreign exchange rates based on various economic data. The model learned fine and the test data is OK ($R^2 = 0.88$).
But I can't ...
2
votes
1answer
42 views
Predict next event based on previous events and discrete reward values
Suppose, I have several sequences that include a series of text (the length of sequence can be varied). Also, I have some related reward value. however, the value is not continuous like the text. It ...
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vote
0answers
16 views
Root finding in Deep Equilibrium Models
In the Deep Equilibrium Model the neural network can be seen as "infinitely deep". Training learns a nonlinear function as usual. But there is no forward propagation of input data through ...
3
votes
1answer
78 views
How to perform prediction when some features have missing values?
Sorry if this is too noob question, I'm just a beginner.
I have a data set with companies' info. There are 2 kinds of features: financial (revenue and so on) and general info (like the number of ...
0
votes
1answer
49 views
How to use a NN for seq2seq tasks?
I am trying to make a NN(probably with dense layers) to map a specific input to a specific output (or basically sequence2sequence). I want the model to learn the relation between the sequences and ...
0
votes
2answers
55 views
How to train a model to predict the number of people at a certain bus stop before they cumulate in large numbers?
Each person probably uses an app that tracks his/her position periodically and sends it to our servers. What I want is to use these data to train a model to predict the rush hours of each bus-stop on ...
1
vote
1answer
34 views
Compressing text using AI by sending only prediction rank of next word
Is there any effort made to compress text (and maybe other media) using prediction of next word and thus sending only the order number of the word/token which will be predicted on the client side
i.e
...
0
votes
2answers
89 views
What ML algorithm should I use that suits this data?
What if I have some data, let's say I'm trying to answer if education level and IQ affect earnings, and I want to analyze this data and put in a regression model to predict earnings based on the IQ ...
1
vote
1answer
38 views
When is adding a feature useless?
I'm building a model, where, from a feature set A, I want to predict a target set C. I need to understand if another feature set B, together with A, can improve my model performances, instead of using ...
2
votes
1answer
59 views
Which machine learning approach can be used to predict a univariate value?
I have a stream of data coming in like below (random numbers 0-9)
7, 7, 0, 0, 8, 9, 2, 7, 3, 8, 2, 8, 5, 7, 0, 8, 7, 8, 5, 3, 2, 6, 1, 9, 5, 7, 5, 3, 4, 9, 1, 3, 5, 5, 0, 7, 7, 5, 2, 8, 8, 7, 5, 5,...
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vote
0answers
39 views
How can I predict the label given a partial feature vector?
Most of the traditional machine learning algorithms need a feature vector of a constant dimension to predict the label.
Which algorithms can be used to predict a class label with a shorter or ...
1
vote
0answers
36 views
Is there a difference between using 1d conv layers and 2d conv layers with kernel with size of 1 along other than time dimension?
Let's assume I use convolutional networks for time-series prediction. Data I feed to the network have 1 channel depth, height of number of periods and number of features is the width, so the frame ...
1
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0answers
39 views
Confidence Interval around prediction with bootstrapping
I want to generate a confidence interval around my prediction (vector) $\hat{y}$. I have implemented the following procedure. However, I am not sure whether this makes sense in a statistical way:
I ...
1
vote
0answers
35 views
3d representation of a regression with two independent variables one of them is categorical and another is continuous
I have hopefully a fundamental question of Do I understand things right.
(Thank you in advance and sorry for my English which might be not so good)
1-Preambula 1:
I know that if we have 2 independent ...
0
votes
2answers
653 views
How to implement AI strategy for Mastermind
I'm looking to implement a AI for the turn-based game Mastermind in Node.JS, using Google's Tensorflow library. Basically the AI needs to predict the 4D input for the optimal 2D output ...
2
votes
1answer
108 views
What are modern state-of-the-art solutions in prediction of time-series?
I wanted to ask you about the newest achievements in time series analysis (mostly prediction).
What state-of-the-art solutions (as in frameworks, papers, related projects) do you know that can be used ...
0
votes
1answer
107 views
What does the model predict if it has never seen the image before?
I've been messing around with an Open Set, Binary Classifier and am having trouble with it. I'm sure there are a lot of reasons for that trouble.
One thing I am struggling with is, what does the ...
0
votes
1answer
352 views
What is the best approach to build a self-learning AI chatbot?
I am a novice in AI and I like to build a chatbot to predict diseases using patient narration as input. Initially, I simply want to train my chatbot on 1 disease only. And once this initial milestone ...
3
votes
4answers
368 views
How can artificial intelligence predict the next possible moves of the player?
When you play video games, sometimes there is an AI that attempts to predict what are you going to do.
For example, in the Candy Crush game, if you finish the level and you still have moves ...
4
votes
2answers
85 views
How should I select the features for predicting diseases (in particular when patients specify their health issues)?
My aim is to train a model for predicting diseases. Now, according to this Wikipedia article, diseases are classified based on the following criteria in general:
Causes (of the disease)
Pathogenesis (...
1
vote
0answers
74 views
How should I go about selecting an optimal num_units within a LSTM cell for different sequence sizes
I am currently working on a stock market prediction model which incorporates sentiments along with historical price for next day price prediction.
I wanted to test different window / sequence size e....
1
vote
0answers
18 views
Irregular results while prediction identical object on same image
I used the pre-trained model faster_rcnn_resnet101_coco.config with my own dataset.
I have two issues
some objects were not detected, while I learned it, with a high number of steps, and test over ...
1
vote
0answers
50 views
Predicting population density from satellite imagery
I have very high resolution images from LANDSAT 8 (5 out of 12 bands), which are of various administrative regions of a country. Each image is of variable dimensions, but generally of the order of [...
