Questions tagged [prediction]
For questions about prediction of a certain quantitative or a qualitative value by an algorithm
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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 ...
3
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39 views
How should I select the features for predicting diseases?
My aim is to create a trained model for predicting diseases. Now diseases are classified based on the following criteria in general:
Causes of the Disease
Pathogenesis (the mechanism by which the ...
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0answers
27 views
How can I use a Keras trained model saved in a HDF5 file to make predictions? [migrated]
I recently got started with neural networks. I built a handwritten character prediction model using the extended MNIST dataset, sklearn, Keras, numpy and pandas. The main goal is to take and/or upload ...
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10 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....
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0answers
11 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 ...
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0answers
36 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 [...
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0answers
14 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 ...
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1answer
18 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
...
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1answer
44 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
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2answers
61 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
67 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
49 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 ...
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1answer
34 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
25 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
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0answers
56 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 ...
2
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1answer
57 views
AI predicting human behaviour
Is there AI technology out there or being developed that can predict human behaviour, given that we as humans are irrational decision-makers?
Edit: I'm looking at this from an economic standpoint - ...
2
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2answers
130 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 ...
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0answers
31 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
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0answers
23 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(...
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1answer
43 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 ...
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0answers
14 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
93 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
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1answer
87 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
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0answers
106 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
80 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?
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0answers
17 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 ...
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2answers
133 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 ...
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0answers
27 views
Predict the next best action based on previous lists of actions
I have the following problem. There is a software that I've written some time ago. Users enter customer's data in the system and there is a limited number of things (actions) that they can do/add - ...
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0answers
43 views
Is there a GAN that can be used for sequence prediction?
I want to use a GAN for sequence prediction, in a similar way that we use RNNs for sequence prediction. I want to test its performance in comparison with RNNs. Is there a GAN that can be used for ...
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0answers
18 views
Improving Recall of a Certain Class
Let's say that we have a test data set with $20,000$ observations for which we want to make a binary prediction for. When we apply our best trained model to this data set (e.g. logistic regression ...
1
vote
1answer
56 views
Which predictive algorithm is most appropriate for a proceeding situation?
I'm new to artificial intelligence. I am looking for the most appropriate AI solution for my application, which is developing an algorithm to predict a proceeding situation (edited: I want my ...
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0answers
54 views
Spike detection in time series using Artificial Neural Networks
I'm quite new in ANNs. I intend to use ANNs for predicting spike points in time series right before they happen. I've already used LSTM for another scenario, and I know that they can be used in ...
3
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2answers
45 views
Can a data compression function be used to make predictions?
I've heard that prediction is equivalent to data compression.
Is there a way to take a compression function and use it to create an AI that predicts?
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1answer
81 views
Suicide Predictor and Locator
Suicide is on the increase in my country and most victims tend to leave early traces from text messages, social media accounts, search engine queries. So I came up with the idea to develop an AI ...
1
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1answer
98 views
How should we understand the evaluation metric, AUC, in link prediction problems?
In link prediction problems, there are only known edges and nodes.
If there is a known edge in the node pair, the node pair is regarded as a positive sample. Except for those node pairs whose edges ...
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0answers
13 views
Predicting Hot Categories In a Reference Manager
Reference managers like Zotero or Mendeley allow researchers to categorize papers into hierarchical categories called collections. The User navigates through a listing of these collections when filing ...
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0answers
29 views
Is predicting day of week straight forward?
I am using python and Xgboost. I have features: activity and location and time stamps of when the activity occurred.
I want to predict day of week. Is this straight forward, ie y=day of week, X={...
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1answer
73 views
How can I stabilise a recurrent neural network used for binary classification?
I’m looking for some help with my neural network. I’m working on a binary classification on a recurrent neural network that predicts stock movements (up and down) Let’s say I’m studying Eur/Usd, I’m ...
2
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1answer
42 views
What is the prediction accuracy?
In simple words, what is the prediction accuracy? What is it based on? How does it help? When is it used?
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3answers
77 views
Predict best price using neural network?
Our customer runs a tour agency. He has an excel spreadsheet containing the following information for people that have contacted them:
Customer name, country, tour duration (requested by customer), ...
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vote
3answers
217 views
How can I develop a prediction algorithm for a game of chance?
How can I develop a prediction algorithm in the case of games of chance? Suppose there is a 50:50 chance of winning. Is there way of creating a prediction algorithm?
2
votes
2answers
96 views
Why is it harder to achieve good results using neural network based algorithms for multi step time series forecasting?
There are different kinds of machine learning algorithms, both univariate and multivariate, that are used for time series forecasting: for example ARIMA, VAR or AR.
Why is it harder (compared to ...
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vote
1answer
61 views
How to predict human future location?
I have billions of anonymized location coordinates of people movement collected from app. I want to improve user experience by using location data.
For example identify if user is at home or at ...
0
votes
1answer
19 views
The proper AI method for modeling to predict road crashes and safety surrogate measures
I intend to use an AI method for modeling to predict road crashes and safety sorrogate measures. The dependent variables are crash frequency and other measures that are nonnegative integers. The ...
1
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1answer
86 views
How should I predict which characters are going to die in a certain movie?
How would one go about predicting which characters (actors) are going to die e.g. in the next Avengers movie?
To elaborate a bit, given all leaked scripts (fake or not), interviews of different ...
6
votes
1answer
128 views
How do I predict if it is rainy or not?
I'm building a weather station, where I'm sensing temperature, humidity, air pressure, brightness, $CO_2$, but I don't have a raindrop sensor.
Is it possible to create an AI which can say if it's ...
1
vote
1answer
64 views
predict waste generation
I am starting a project to predict the generation of urban waste.
I have found very little information on this topic on the internet.
I would be very useful advice on how to approach this topic, and ...
2
votes
1answer
211 views
How to implement an artificial network that outputs an integer within a range?
The goal is to implement an artificial network that, based on training samples labelled with positive integers, outputs a positive integer.
Perhaps I am not searching for the correct thing but all ...
5
votes
2answers
227 views
Can one use an Artificial Neural Network to determine the size of an object in a photograph?
My question relates to but doesn't duplicate a question that has been asked here.
I've Googled a lot for an answer to the question: Can you find the dimensions of an object in a photo if you don't ...
5
votes
3answers
634 views
Is the singularity concept mathematically flawed? [closed]
In Comes IQ
When the concept of Intelligence Quotient arose it was based on this approximation.
Each human being has a number that quantifies their intelligence relative to a fixed norm, and, ...
