Questions tagged [prediction]
For questions about prediction of a certain quantitative or a qualitative value by an algorithm
97
questions
0
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0answers
19 views
ML method for detecting which individuals are best predicted by the features
Broad question to help in finding an appropriate method. So I have a given feature set of (DNA/genetic) predictors and a group of individuals which are either cases or controls for diseaseX. While I ...
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0answers
12 views
Recommended vehicle trajectory prediction algorithms (based only on lat/lon data)?
Could you recommend me the most suitable algorithms for vehicle trajectory prediction? Although I'm studying kalman filter approaches and they are the most used, are there other common (NN, SVM, RF, ...
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0answers
25 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
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1answer
37 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 ...
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votes
1answer
57 views
AI, Machine learning prediction algorithms which can predict maximum lifespan of Human being in future centuries [closed]
https://en.wikipedia.org/wiki/Maximum_life_span
Are there AI, Machine learning prediction algorithms which can predict whether Human being can achieve maximum lifespan age say 150, 200 years in ...
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0answers
20 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
32 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 ...
1
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0answers
13 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
71 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 ...
1
vote
1answer
34 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
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2answers
32 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 ...
2
votes
1answer
29 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
...
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24 views
Does a constant low validation loss mean great model accuracy?
This is more of a conceptual question that I am asking here. I am using an encoder-decoder model with Bidirectional LSTMs used as a time series regression problem. I train it with a sufficiently low ...
0
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2answers
50 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
29 views
When adding a feature is useless?
"simple" issue:
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 ...
2
votes
1answer
52 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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0answers
22 views
Sales Planning using Predictive Analytics, which method
i'm new to the topic of data science / AI and would like to start implementing a method which predicts sales planning data based on sales planning data from the past years. Hence, to do forecasting ...
1
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0answers
32 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 ...
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0answers
24 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
36 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
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0answers
29 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
190 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
91 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 ...
1
vote
1answer
129 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
120 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
83 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
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0answers
33 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
17 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
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0answers
45 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 [...
1
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0answers
102 views
Predict a value calculated from a hash (and hash before that hash)
I have a hash, e.g. 552c51576e2a6dec462b0d56af8c31713e26a763c0e2a3d48ebbf4b99958eeba. This hash hashed again, is ...
1
vote
1answer
38 views
Convert input dataset given in hex addresses to int
I have created an LSTM Neural Network which take as input the following format in an .csv file
...
0
votes
1answer
64 views
What's the best architecture for time series prediction with a long dataset?
I have to build a neural network without any architecture limitations which have to predict the next value of a time series.
The dataset is composed of 400.000 values, which are given in hex format. ...
3
votes
2answers
137 views
Why are the terms classification and prediction used as synonyms in the context of deep learning?
Why are the terms classification and prediction used as synonyms especially when it comes to deep learning? For example, a CNN predicts the handwritten digit.
To me, a prediction is telling the next ...
2
votes
2answers
80 views
Why is my model accuracy high in train-test split but actually worse than chance in validation set?
I have trained a XGboost model to predict survival for the Kaggle Titanic ML competition.
As with all Kaggle competitions there is a train dataset with the target ...
2
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0answers
108 views
How I can predict the next number in a sequence with a neural network?
I've been dabbling with machine learning and neural networks (namely, resnet50) for a few months now, mostly doing image recognition. I am currently trying to make a program that, given a string of ...
0
votes
1answer
54 views
Predicting probabilities of events using neural networks
I've got a few thousands of sequences like
1.23, 2.15. 3.19, 4.30, 5.24, 6.22
where the numbers denote times on which an event happened (there's just a single ...
2
votes
1answer
36 views
Predicting a day's data
I have a dataset containing timestamp and temperature. For each day, I have 1440 values viz., I have data for every minute of that day(60minutes * 24hrs = 1440).
The Dataset looks like this:
As an ...
4
votes
0answers
110 views
RNN models displays upper limit on predictions
I have trained a RNN, GRU, and LSTM on the same dataset, and looking at their respective predictions I have observed, that they all display an upper limit on the value they can predict. I have ...
1
vote
2answers
100 views
Is there an AI technology that can predict human behaviour?
Is there an AI technology out there or being developed that can predict human behaviour, given that we as humans are irrational decision-makers?
I'm looking at this from an economic standpoint - the ...
3
votes
2answers
702 views
Can a neural network be used to predict a sequence of integers based on dataset of previously produced random numbers?
What i really want to do, is to predict an integer sequence of (5 numbers with values from 1 to 50) for example based on a big dataset of other 5 numbers sequences with same values range created by ...
2
votes
0answers
45 views
How can I predict the nutrients in dishes given the ingredients used to prepare them?
I want to know which algorithm will work most efficiently for calculating nutrients present in a food dish if I am giving the ingredients used in the food. Basically, let us assume that I want to make ...
2
votes
0answers
26 views
Choosing neural network output for prediction (regression) of a dynamical system
I’m trying to train a neural network to approximate the output of a dynamical system $dy/dt=f\left(y(t), u(t) \right)$, namely, given $y(0)$ and $u(t_i), i=1,2...N$ I want the network to predict $y(...
1
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1answer
46 views
How can I test my trained network on the next unavailable hour?
I have data of 695 hours. I use the first 694 hours to train the network and I use 695th hour to validate it. Now my goal is to predict the next hour.
How I can use my trained network to predict the ...
1
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0answers
19 views
CNN multi output scores and evaluation
I am building a CNN with two outputs. I still have to put time in the network itself, but I was trying to get a good evaluation/classification report of the results. My code is the following:
...
3
votes
2answers
113 views
How do I predict the occurrence of rare events?
I am trying to predict crime. I have data with factors: location, keyword description of the crime, time crime occurred and so on. This is for crimes that occurred in the past.
I would like to treat ...
1
vote
1answer
108 views
Which model can I use for this problem with multiple inputs and outputs?
Which model is the most appropriate for this problem with multiple inputs and outputs?
The data set is
A1, A2, A3, A4, A5, A6, B1, B2, B3, B4
where ...
2
votes
0answers
163 views
Why is the transformer for time series forecasting faster than RNN?
I've been reading different papers which implements the Transformer for time series forecasting. Most of the them are claiming that the training time is significantly faster then using a normal RNN. ...
1
vote
1answer
320 views
Is it possible to use the GPT-2 model for time-series data prediction?
Is it possible and how trivial (or not) might it be (if possible) to retrain GPT-2 on time-series data instead of text?
2
votes
0answers
19 views
How to choose the suitable Neural Network Architecture for Regression Tasks
so I'm working on a Project where I want to predict the Vehicle Position from the Vehicle Data like speed, acceleration etc.. now the data that I have comes also with a timestamp for each sample ( I ...
3
votes
2answers
154 views
What kind of neural network architecture is suitable for variable length block-like time series data?
I'm not sure what this type of data is called, so I will give an example of the type of data I am working with:
A city records its inflow and outflow of different types of vehicles every hour. More ...
