Stack Exchange Network

Stack Exchange network consists of 175 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.

0
votes
2answers
22 views

Linear regression incorrect prediction using Matlab

In the plot below the red crossed line is the actual curve and the crossed blue line is the predicted curve. I am using least squares for linear prediction. I have used 1:79 examples in training and ...
0
votes
0answers
9 views

Convert binary outcome to multiple categorical outcome

I have a dataset containing binary labels Y with values "correct" or "wrong". I want to study the reason of wrong state, based on several conditions made from multiple features. For example I want ...
1
vote
1answer
40 views

How Dummy Variables Should Be Modeled In A Linear Regression Model?

I've a cross sectional model where I want predict number of users that take specific service, to make it I've many variables but have specifically two nominal: isWorkday(0 or 1) and weeday(1,2,3,...,7)...
2
votes
2answers
28 views

Is ARIMA appropriate for time series prediction involving a mix of explanatory and independent variables?

I have a table with the following columns: Date(Month,Year), Sold_Past_Month, Quantity_Available, Quantity_Shipping_In, Missed_Sales, Quantity_Needed Quantity_Needed is the dependent variable that ...
0
votes
1answer
13 views
3
votes
3answers
39 views

Which algorithm to use for efficient resource assignment?

I am a starter in ML. So pardon me if the question is naive. We have a Project Management tool where users can create a ticket and assign it to others. This is just one part of the tool but we are ...
0
votes
1answer
75 views

Machine learning model to predict the best candidate

Problem: I would like to build a machine learning model that can predict the best candidate from any given set. What could be a good architecture for such a model? Given: I have several training ...
0
votes
0answers
21 views

Very low probability in naive Bayes classifier 1

I have some training data (TRAIN) and some test data (TEST). Each row of each table contains an observed class (X) and some columns of binary (Y). I'm using a Python script that is intended to predict ...
3
votes
0answers
87 views

Why does CV yield lower score?

My training accuracy was better than my test accuracy, hence I thought my model was over-fitted and tried Cross-validation. The model further degraded. Is that my input data need to be sanitised ...
0
votes
0answers
13 views

Restricted Boltzmann Machines for work load predition

I have been reading about Restricted Boltzmann machines and their ability to represent a system. Actually I wanted to build a system in which can predict depending on various parameters like cpu load,...
0
votes
0answers
16 views

looping program for MLP Keras prediction [migrated]

I am (sort of a beginner starting out) experimenting with Keras on a time series data application where I created a regression model and then saved it to run on a different Python script. The time ...
1
vote
1answer
13 views

Service Request classification, questionnaire filling and call logging

I am very new to machine learning. I just went through some of the tutorials in Azure and completed one practice workflow(car price prediction). I hope I can ask basic questions here. Scenario : We ...
0
votes
1answer
29 views

Find suitable locations using Machine Learning

Just for fun, I am currently trying to find suitable locations to deploy new stores. So what I did so far is to take the actual sites of current stores and to assign surrounding variables to it. These ...
1
vote
3answers
116 views

Forecasting ticket sales and city

I am learning data science. I have the following dataset for train tickets: ...
1
vote
1answer
51 views

predicting loan default based on transaction history

i have a training dataset with 25,000 different customers, each with a transaction history of 50-500 bank transactions (both deposits and withdrawals, the exact # varies across customers). each ...
0
votes
1answer
30 views

Is “adding the predictions to the real data for new training and prediction” a good idea for LSTM?

Considering we have trained our model with a lot of data for "many-to-one" prediction. Then we like to forecast the future data of next 10 days. So we use last 60 of existent data and predict the ...
0
votes
0answers
6 views

Prediction failure event using the Cox proportional hazard model

I'm new to data science and my task is to predict the next failure event (FE) given previous events. Assume that I found a pattern that finishes with that failure event, for example: ...
4
votes
1answer
142 views

What do “compile” , “fit” and “predict” do in Keras sequential models?

I am a little confused between these two parts of Keras sequential models functions. May someone explains what is exactly the job of each one? I mean ...
1
vote
0answers
29 views

How to add previous predictions for new predictions in LSTM?

I am trying to train a model on a big data sequence like this [0.2 0.1 0.1 ..... 0.4 0.8] . I create X vectors with length 60 for inputs and Y scaler numbers as ...
0
votes
1answer
46 views

How to launch a Machine Learning model? [closed]

First of all thank you for taking your time to read my question. I have done a Machine Learning model with a dataset (The famous one about Cancer) and I want to know how can I do to predict the ...
1
vote
0answers
20 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 ...
1
vote
1answer
17 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
votes
1answer
108 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 ...
0
votes
0answers
18 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 here. As such I believe one could use it to develop an autocorrect service, that ...
3
votes
1answer
102 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 ...
1
vote
2answers
21 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 ...
1
vote
0answers
12 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 ...
0
votes
3answers
32 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 ...
1
vote
0answers
12 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 ...
1
vote
1answer
34 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 ...
0
votes
0answers
9 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
votes
2answers
117 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....
0
votes
1answer
26 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
votes
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 ...
1
vote
0answers
36 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 ...
0
votes
2answers
39 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 ...
0
votes
0answers
24 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 ...
0
votes
2answers
60 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
vote
1answer
40 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, ...
0
votes
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 ...
1
vote
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 ...
1
vote
0answers
33 views

LSTM data scaling formula based on range

I am planning to run LSTM for a prediction project which has the following input ...
0
votes
1answer
985 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
1
vote
2answers
152 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 ...
1
vote
0answers
8 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 ...
1
vote
1answer
25 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 ...
0
votes
2answers
103 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
vote
1answer
69 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
vote
0answers
54 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
vote
1answer
53 views

Neural network for variable length data classification

How can I create a network which can predict labels of variable lengths data: Training data: ...