Questions tagged [prediction]

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1answer
191 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)...
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2answers
101 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 ...
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1answer
770 views

Making Prediction on logistic regression using SAS

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3answers
420 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 ...
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1answer
410 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 ...
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1answer
172 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 ...
4
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1answer
218 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 ...
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1answer
31 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 ...
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1answer
49 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 ...
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3answers
588 views

Forecasting ticket sales and city

I am learning data science. I have the following dataset for train tickets: ...
1
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1answer
436 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 ...
1
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1answer
169 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 ...
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1answer
17k 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 ...
2
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1answer
279 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 ...
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1answer
107 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 ...
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0answers
178 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
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1answer
33 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 ...
3
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1answer
1k 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 the h2o library for Python to build a decision tree and to extract the decision rules out of it. I am using some data for training where ...
3
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1answer
104 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
208 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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2answers
2k 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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4answers
612 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
13 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
516 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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2answers
368 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
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1answer
58 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
49 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
76 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
194 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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2answers
72 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
585 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 ...
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1answer
74 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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1answer
15 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
16 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
119 views

LSTM data scaling formula based on range

I am planning to run LSTM for a prediction project which has the following input ...
2
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1answer
9k 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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2answers
4k 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
13 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
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1answer
37 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
415 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
702 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 ...
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0answers
169 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
387 views

Neural network for variable length data classification

How can I create a network which can predict labels of variable lengths data: Training data: ...
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0answers
35 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 ...
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0answers
120 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
65 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
29 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
62 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
140 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 ...
7
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1answer
6k 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: ...

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