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Questions tagged [prediction]

The tag has no usage guidance.

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0answers
7 views

How to create a timeline graph ( Date / time series) in MATLAB?

The data file is attached https://ufile.io/ttwi8.How may I create a timeline graph where my y-axis is the number of cases(Demand and prediction as sjown in attached graph) and my x axis is increasing ...
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1answer
9 views

How do we go about imbalanced data for prediction problem? [duplicate]

As in classification we have imbalanced classes, we use up-sampling or down-sampling and other techniques, what do we do when we have imbalanced data in prediction problems, for example, I have ...
2
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1answer
39 views

How to extract the sample split (values) of decision tree leaves ( terminal nodes) applying h2o library

Sorry for a long story, but it is a long story. :) I am using h2o library for python to build a decision tree and to extract a decision rules out of it. I use some data for training where labels get ...
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0answers
9 views

Can Amazon Comprehend (Medical) be used for autocompletion of words or phrases?

"Amazon Comprehend Medical can accurately identify abbreviations, misspellings, and typos in medical text" (source: https://aws.amazon.com/comprehend/medical/). As such I believe one could use it to ...
3
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1answer
93 views

How can i find trend time for my articles?

our article is time-based, that means is my article search more in a specific time. as you can see in under chart this article search more in specific period time. if my dataset looks like this(it ...
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2answers
19 views

Time of trainig vs time of prediction, which one is used during classification algorithms comparison?

I need to use many algorithms for making a binary classification, such as Logistic regression, SVM, XGBoost, CatBoost, ... I get an interesting improvement but All of those algorithms (except LR) take ...
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0answers
9 views

what is the interest of TimeDistributed after an LSTM layer?

I've already seen several similair questions but I did not understand anything, what is the interest of TimeDistributed? why we need to insert a TimeDistributed layer after LSTM to establish the time ...
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3answers
26 views

Which type of model to use and what's my target variable

I am a beginner in Data Science field, so sorry if my question is too basic. The task is to build an ad bidding model for online marketing which allows you to deliver targeted ads to the right ...
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0answers
10 views

Structures for incorporating linear functions into a nonlinear optimization problem

I'm working on a problem which naturally involves both linear and nonlinear operations, and I'd like some help understanding the best way to combine these into a neural network framework. To be more ...
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1answer
21 views

Predict upcoming coordinates

Given sequences of points that define similar lines amongst each others, e.g: Where the blue lines are similar to each other, given the red point sequence and assuming that it will follow the same ...
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0answers
7 views

Obtaining users intention using EEG, ECG and gaze using data science

I'm thinking about doing this project during the summer. If anyone has worked in this area, can you let me know if it is possible to complete this project in a duration of 3months and how tough is the ...
2
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2answers
75 views

Sports prediction using machine learning [closed]

I am trying to predict soccer scores using past results. The dataset I have only consists of the home team, the away team, goals scored by the home team and goals scored by the away team in each match....
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1answer
25 views

Protein interaction prediction- how to input this data structure

I know the basics of machine learning and have quite an experience with time series data or data fed in a tabular format. But in the picture, the data is arranged as a graph. Is there a way to input ...
0
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1answer
20 views

Predicting service date

If I had an automated system that pays my bills, but the website where I pay them won't tell me when the next bill will be available. What is a good approach of predicting the date of the next bill? I ...
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0answers
22 views

Make image label prediction from Chainer CNN model

I have train dataset of 8000 images and labels. Validation set consists of 1957 images and labels. The test set contains 2487 images. Each image contains White Blood Cell images. WBC is divided innto ...
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2answers
32 views

how to get prediction from trained random forest model? [closed]

i have a dataset with two columns user posts (posts) and personality type (type) , i need personality type according to posts using this dataset so i used random forest regression for prediction here ...
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0answers
22 views

How to measure accuracy of a route prediction

I developed a new route prediction algorithm and I am trying to find a metric that informs on how well a prediction was. This metric is meant to be used offline, meaning that the goal is not to ...
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2answers
54 views

Predict Best Branch Locations For a Company

I have a dataset of existing 156 branches of my company with the longitude and latitude of each branch. Now we want to open 10 more branches. How can we predict the best locations for opening the new ...
1
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1answer
37 views

Example of a problem with structured output labels

I'm studying SSVM (Structured SVMs). On my book is stated that Structured SVM is an extension of the SVM, in which Each sample is assigned to a structured output label z ∈ K, e.g. partitions, ...
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0answers
32 views

time-series forecast with lstm and known future features

I am working on a lstm project. I want to use the model to predict a time-series and I am using a rolling window approach. I want to predict electricity consumption for industrial plants on a daily ...
0
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1answer
13 views

Predicting sequences newbie question [closed]

I have a ranked list of rows of 100 lines of data 1- 8 4 0 5 9 3 2- 0 3 3 5 3 2 3- 0 0 2 4 0 2 .. 100- 0 2 3 2 2 0 Is it possible to predict a) when given a new ...
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0answers
14 views

Import the same interval of previous week into the deep model

In a dataset, the data are the average of vehicles speed in the points (cells) of a map. I am trying to build a prediction model. While the inputs are the average of vehicles speed of all points in ...
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0answers
30 views

LSTM data scaling formula based on range

I am planning to run LSTM for a prediction project which has the following input ...
0
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1answer
425 views

Accuracy for Kmeans clustering

I am looking for accuracy python code for kmeans clustering with no labels. Is there anyone who knows about it? it is ok that is not built-in function. Manually made is also ok
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1answer
49 views

What algorithms are good to predict next numbers?

Let's consider we have several hundreds of numbers like ( 1, 2, 5, 8, 7, 15, 19, 8, 4, 6, ...) those are closed numbers of a stock on consecutive days for example. I like to know what algorithms are ...
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0answers
7 views

I have to find homography transform parameters which are 8 in number with the help on CNN [closed]

I have to find homography transform parameters which are 8 in number..I m using a pretrained residual network. The problem I am facing is I am not able to use model.fit() as it takes argument such as ...
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1answer
23 views

How to predict unknown(hidden) value by incomplete value or partly recorded value

Let me make it clear by make an example: Suppose I knew a person's cost each month for 3 years like: 2016Jan : $2500 2016Feb : $4000 2016Mar : $3500 ... Just according to this, can I ...
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2answers
86 views

sales price prediction [closed]

I have to find make a classifier for price prediction of a item. The question I have is which columns I should choose for price prediction. Also which machine learning classifier would be good to ...
1
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1answer
40 views

How do I use a model after it's fitted to predict the class of a single string?

After a model is built, how can I use it to predict the class of a single string? model.predict() is returning something like ...
1
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0answers
38 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'...
1
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1answer
36 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
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0answers
13 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
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0answers
33 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 ...
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2answers
32 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 ...
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0answers
26 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
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1answer
29 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
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0answers
45 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
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1answer
468 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
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1answer
39 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 ...
2
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0answers
47 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
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2answers
137 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
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0answers
32 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
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0answers
175 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: ...
3
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1answer
149 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: ...
5
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1answer
63 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 ...
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0answers
41 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 ...
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2answers
44 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 ...
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0answers
18 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
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1answer
44 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. ...
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0answers
36 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 ...