Stack Exchange Network

Stack Exchange network consists of 174 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.

Visit Stack Exchange

Questions tagged [prediction]

The tag has no usage guidance.

1
vote
0answers
30 views

Improving population weighting

Bit of a noob in this stats world, so apologies in advance for any naiveté. I did a fair bit of stats long ago in college but it's a distant memory, so please assume little knowledge! The dataset I'...
0
votes
0answers
11 views

Inserting a feature in the training set made of a target variable

I have a timeseries that contain the daily price of items based on the stores , the manufacturers , and other attributes. Other than what we know about not including a signal from target variable in ...
1
vote
1answer
13 views

Neural network for variable length data classification

How can I create a network which can predict labels of variable lengths data: Training data: ...
1
vote
0answers
9 views

binary classification for counting - estimating the error on counts due to error on prediction score

Ok, so I have the following set up: I have a binary classification problem and I am classifying events into signal and background. Ultimately, I want to count how many background events and how many ...
1
vote
0answers
9 views

How to calculate and print unseen time series values for LSTM after train, valid and test data

My dataset is time series data. It contains data of 10 packages. trainX = (1410,3,15), trainY= (1410,1), testX=(110,3,15), testY=(110,1). Input is three feature vectors of last three months and i am ...
1
vote
2answers
25 views

How to predict weather? [closed]

I want to know how does one predict day to day weathers. Like what are the factors that must be known to predict day to day weathers using a NN. Few factors I could think of are: Humidity Weather ...
1
vote
0answers
20 views

one predictive methods

Is there any algorithm/method/system/application that combine all predictive methods into one? so for users instead of deciding which method they should use, is there any platform that you just feed ...
1
vote
1answer
18 views

predicition for a specific month

I am attempting to build a predictive model based on the past historical data. I have details of specific machine failure based on the past year data. I have data from some months of 2016 and from ...
1
vote
0answers
21 views

Dataset containing spatial and temporal features (built on a CNN model)

A dataset contains spatial and temporal features. It contains the time series data (2 min intervals) of the sections of a map. It is 320*480 (320 map sections and 480-time intervals). Each row ...
5
votes
1answer
187 views

how to interpret predictions from model?

I'm working on a multi-classification problem - Recognizing flowers. I trained the mode and I achieved accuracy of 0.99. To predict, I did: ...
1
vote
1answer
30 views

How do I predict continuous value from time series data?

I have a glove that have 2 IMUs (Inertial Measurement Unit) attached to it. It can give the rotation value as Quaternion (x,y,z,w) and acceleration of the hand (x,y,z). I put it on my left hand and I ...
0
votes
0answers
87 views

Need help on predict_generator of time series problem

I am now studying the book "Deep Learning with Python" of Mr. Francois Chollet. I continue reading while checking the actions of those program samples. I think the contents in the book are very great,...
2
votes
0answers
32 views

Time-series prediction/forecast coupled with classification [closed]

I am trying to predict a danger zone. I have a multidimensional time-series data and I want to forecast two timeseries for a defined number of time points. Then, I want to classify my predictions and ...
1
vote
2answers
55 views

Train an LSTM neural network with time series containing seasonal and trend

I am working on a project for predicting the number of DNS queries from the site: DNS queries statistics. The data I use is minutely data, which means the number of DNS queries of every minute. If ...
1
vote
0answers
16 views

Naive/ Persistent Models & 7 Day Forecasts

When determining the baseline performance using a persistent or naive model I understand it to be using the value of the previous time step as the prediction for the next time step and then ...
0
votes
0answers
67 views

Time Series prediction with multiple features in input data

Assume we have a time-series data that contains the daily orders count of last two years: We can predict the future's orders using Python's statsmodel library: ...
2
votes
1answer
51 views

How to properly predict date using Orange 3

First of all - I'm new to all of this. I'm trying to create a model to predict the release of ios 12 based on previous years. I've got an excel that has a format like this: ...
0
votes
0answers
45 views

What all methodologies are there in Data Science/ML to predict the next transaction date of a customer?

I've a data-set with three columns: customer_id, transaction_date & sales_amount. Product data can also be added but to avoid complexity, I've not added that. The objective on which I'd like to ...
5
votes
1answer
61 views

Make classification and prediction at the same time

I am working on the detection and prediction of epileptic seizures and I was thinking about something : would it be possible to apply classification and prediction at the same time. I mean, having ...
0
votes
0answers
31 views

Explaining ROC curve

I am running classification algorithm on binary class classification problem where I achieve ~85% precision and ~84% recall rate. My issue is that ROC score looks quite edgy and there are only few ...
0
votes
2answers
30 views

Why does prediction by a consensus of classifier work better than prediction by a single classifiers?

I have seen that consensus of classifiers (taking say 5 separate classifiers) and obtaining the final labeling of the unknown sample based on the voting method (whichever class gets the predicted the ...
1
vote
0answers
11 views

How to decide which forecasting model to use? [closed]

So I have a sales forecasting problem where I have 3 years worth of data about weekly sales of a certain company. There are 3 types of retail stores in that company, Type A, B, and C. There are a ...
0
votes
1answer
25 views

Inference of root mean square value in terms of house prediction

The objective of the task is to predict the housing prices. A model is created based on California housing dataset to predict housing prices and is subjected to evaluation using the below code. ...
2
votes
0answers
32 views

Predict time series using NN trained with multiple TS [closed]

I'm trying to predict time series using RNN from keras and I have several time series to work with (these are sales from some stores, just usual 1D TS). Right now I can train one simple model using ...
0
votes
0answers
148 views

Tensorflow - Clarification on how to predict more than 1 step ahead using LSTM

I'm looking for some clarification on how to perform more than one prediction ahead using long-short term memory in Tensorflow for univariate time series. The reason is that I'm having problems when I ...
0
votes
1answer
48 views

How can we define missing rating in recommender system?

I was reading about collaborative filtering where we need to pass (user, item and rating) in case of matrix factorisation (SVD). Now, my question is given data of ...
0
votes
3answers
139 views

Forecast vs Prediction: What is the difference?

I use the two terms as follows: A prediction model gets features (which can be a time series) as input and gives a fixed-length output (might be multiple values, but "atomic" in some sense) Examples:...
1
vote
0answers
25 views

Predicting a new document [closed]

I have a document, (purchase agreement) of approx. 100 pages. This document is sent from buyer to seller several times, and each time there is a negotiation. Negotiation could be anything. For eg. ...
1
vote
1answer
55 views

Predicting Customer Activity Absence

Could you please assist me with to following question? I have a customer activity dataframe that looks like this: It contains at least 500.000 customers and a "timeseries" of 42 months. The ones and ...
0
votes
2answers
40 views

Estimate battery voltage based on scheduled events and previous behaviour

My goal is to estimate if a battery will have enough charge for certain other systems to be powered. The power state of the other systems is recorded (i.e. if they are turned on or not), as well as ...
0
votes
0answers
41 views

Real-Time signal processing with RandomForestClassifier in sklearn

I am trying to perform real-time decision making on data from a radar sensor and trying to detect occupancy. I generated data using the same sensor annotated it manually as vacant or occupied. I ...
1
vote
1answer
33 views

How do I use rnn to forecast to n periods with limited data?

So this is my 1st time trying to run a small time-series dataset through an RNN, but after a lot of searching, I haven't been able to find, 1. How I can use this to forecast to n periods ? (like in ...
1
vote
0answers
30 views

Orange: Predictions widget on same data gives different results

I have built a simple tree predictor and then applied this to a new set of data. This was giving a very different probability distribution so I tested connecting the same training data and comparing ...
1
vote
1answer
26 views

How to predict next year's gross revenue given this year's data?

I have the following dataset (.csv format) which contains: 100 columns: $\textbf{Period}$ (in years, e.g. 2017, 2018, ..., 2028), $\textbf{Gross Revenue}$, $\textbf{Region}$ (e.g. APAC, NEMEA, etc), ...
1
vote
1answer
22 views

Predicting which apps users may be interested in

I am building a mobile app that can predict what apps users may be interested in downloading from the play store, based on what apps the user has already installed on their device and how much time ...
2
votes
1answer
797 views

Simple prediction with Keras

I want to make simple predictions with Keras and I'm not really sure if I am doing it right. My data looks like this: ...
2
votes
0answers
23 views

Prediction questions related to the dataset

I have been self-learning data science from different sources. I have a dataset which was sent to me by my friend from one of her college courses. The work is to be done in R preferably. Description: ...
0
votes
0answers
567 views

In Keras how to get the `class_indices` or prediction labels for an existing model

I know that keras provides a .class_indicies dictionary containing the mapping from class names to class as part of ...
1
vote
1answer
37 views

Visitor's probability to purchase on eCommerce site, based on aggregate historic data

On an eCommerce website we want to create some personalization for visitors who are more likely to make a purchase. Let's assume we only have one single item for sale. The likelihood should be based ...
0
votes
0answers
32 views

Support Vector Regression (SVR) for spatio-temporal prediction

I know that SVR can ensure spatial prediction from one side and can do time series prediction from other side but can SVR do both : tempospatial prediction at the same time?
1
vote
0answers
264 views

Test data predictions yield random results when making predictions from a saved model

I am classifying aerial imagery that is tiled into 256x256 tiles using Keras and TensorFlow. The model splits the training data (i.e. the 256x256 image tiles making up the study area) into 70% ...
1
vote
0answers
14 views

Choosing the right prediction method

i have a data set with personal properties (age, education etc.), and each entry in the dataset is associated with a list of websites and daily visit. my goal is to predict for a given person the ...
6
votes
1answer
1k views

How to Predict the future values of time horizon with Keras?

I just built this LSTM neural network with Keras ...
1
vote
0answers
38 views

spatiotemporal prediction using support vector regression

i am using a geographic dataset and i intend to use SVR as machine learning method for predicting spatiotemporal patterns from this dataset. My question is does SVR canensure spatiotemporal ...
1
vote
2answers
36 views

Group prediction

I have following sort of data coming every day: (0)(3,4,5)(6,9,1)(5,35,12,232) (1)(5,1,4)(6,2)(12,54,12,43)(8,23,65) (2)(6,7,2)(34,3) (3)(4323,23,12,4543) (4)(987,32,324,23,224,12,213,21)(1,2) (...
0
votes
1answer
202 views

Error in training a merged model in Keras

I attempted to merge a VGG-16 and ResNet-50 model in Keras to benefit from the combined feature representations toward a binary classification task. I was successful in building and saving the merged ...
2
votes
0answers
40 views

Next events prediction based on previous events

I have data set of sequences of user executed commands sorted in the order of its occurrence. The data looks like this. ...
0
votes
3answers
140 views

k-means: Only one-dimensional cluster predictions in two-dimensional space

For this dataset, it seems that the predictions of my k-means model only consider the horizontal axis, although the cluster centers seem reasonable. Is something wrong with this classification? ...
0
votes
1answer
56 views

predict() function in R

While predicting, what happens if we pass the newdata along with the target variable? Do we need to isolate the target variable before feeding into predict function?...
3
votes
1answer
223 views

Time series prediction of discontinuous data

In the context of time series prediction, I have read that time series is a series of data that taken at successive equally spaced points in time (which means its in order). What if I have a ...