Questions tagged [prediction]

For questions about prediction of a certain quantitative or a qualitative value by an algorithm

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8 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 ...
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26 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 ...
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14 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 ...
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2answers
56 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 ...
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1answer
73 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 ...
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1answer
34 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 ...
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5answers
61 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 ...
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46 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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15 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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12 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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37 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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17 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
21 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
50 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. ...
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2answers
66 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 ...
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2answers
69 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 ...
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50 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 ...
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1answer
26 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 ...
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60 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 ...
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1answer
58 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 - ...
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2answers
203 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
32 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 ...
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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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15 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: ...
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2answers
94 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 ...
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1answer
89 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 ...
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0answers
119 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. ...
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1answer
87 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
18 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
134 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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44 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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44 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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20 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 ...
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1answer
69 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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63 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 ...
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2answers
48 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 ...
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1answer
134 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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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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30 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
74 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 ...
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1answer
44 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
78 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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3answers
257 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?
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2answers
97 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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1answer
67 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 ...
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2answers
23 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 ...
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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 ...