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Questions tagged [predictive-modeling]

Statistical techniques used for predicting outcomes.

Predictive modelling is a set of statistical techniques used for predicting outcomes. Each such techniques is called a predictive model.

Major areas of application of predictive modelling are health care, customer relationship management, and marketing.

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Predict which user will buy with an offer - discount

I have historical data from an e-shop transactions. I want to write a prediction model and check if a specific user will buy with or without a discount, so I can do some targeting offers. The idea is: If a user will buy the regular price, will not…
Tasos
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Model Guardrails

Suppose I am building a machine learning model for an application where I do not need to make a prediction on all new samples, and given a new sample, it is better to make no prediction at all when there is concern that the prediction is unlikely to…
Seth
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Time required to train a model based on features shape and CPU capacity?

How to estimate the time required time to train a model, given feature shape, CPU/GPU sepcs and type of model
Quantum Dreamer
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Alternatives to imputation of missing values?

So I'm quickly learning that dealing with missing values for feature(s) in some of your observations is a part of every day life in data. I get the gist of imputation, when/how it's appropriate and when it's not, and I'll read up on it in the near…
Mike Crumley
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How do you overcome results oriented thinking from a client?

I am working with a client on a special project that I am going to obfuscate in this question. Basically, I'm trying to overcome some short-term, results-oriented thinking from my client. Let's say you have a model to forecast the performance of a…
I_Play_With_Data
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May the training sets of two predictive modeling cases (with an overlap in features) be combined?

Say we have dataset D1 (columns A, B, C) and D2 (columns A, B, D) with target variable E. As both datasets are rather small, their respective predictive models do not perform really well. To improve predictive performance, may/should I apply the…
Thijmen
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Analyzing survey data for predictions

I've got survey data that resembles: |-------------| Q1a | Q1b | Q1c | Q2a | Q2b | Q2c | Classification | Respondent | 1 | 0 | 0 | 1 | 0 | 0 | Red | Respondent | 0 | 0 | 1 | 1 | 0 | 0 | Green | Respondent | 0 | 1 | 0 …
Ryan Day
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Period Predictive Model

I am not sure how to formulate this problem clearly into a machine learning task yet. So hope you guys can chime in and give me some help. Problem : To predict whether someone will pick up their phone during office hours in week n+2 by looking at…
prog_guy
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Is it possible to create a predictive model for a dataset that consists of only positive occurrences of the dependent variable?

Lets say I want to predict earthquakes. My dataset would only contain data about earthquake occurrences and no data about non-earthquake occurrences as that would basically be any other period of time which is not kept in the dataset. In that case,…
Jem
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Quantity Prediction Algorithm

I want to make prediction for quantity of stock that will be sufficient over a period of time i.e from one delivery to another. Assuming, i want a store to have minimum amount of item between deliveries e.g 30 items, delivery interval can be 7 , 14,…
Jideobi Benedine Ofomah
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Predicting a timeseries that includes categorical and numeric data

Given the following properties in a dataset: Type Of Work [T1,T2,T3,...Ti] Measurment Unit [U1,U2,U3,...Ui] Number Date Status [S1,S2,S3,...Si] What can i use to predict the Status in a given Date? Any suggestion is really…
Ali Kleit
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Brownian motion in models for virus spread?

Was reading a Washington Post article "Why outbreaks like coronavirus spread exponentially, and how to flatten the curve” and it looked like they were using Brownian Motion. (Can't directly link the graphic, but it's the third graphic in the…
DukeZhou
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how to package PMML files for versioning?

I am looking to package PMML file generated to export tree model. Are there any existing standards which describe how to package and version PMML files ?
Mangesh Jogade
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Is it useful to consider a categorical features into a `polynomial` or `linear model`?

In Titanic dataset, i have a dataset containing Categorical features (such as Cabin, Embark and Sex). I need to build a linear or polynomial model with multiple variables to predict Survive. I wish to consider Categorical features as well. Let's…
Jimmy
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What techniques are used to understand call patterns?

I have customer data since 2013 and there is a file which has the customer unique id, a timestamp, and the reason for the call (a drop down from the person who handled the call). I did some cumulative counts based on customer ID and the timestamp…
trench
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