# Questions tagged [predictive-modeling]

Statistical techniques used for predicting outcomes.

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611 views

### Denormalise data in Neural Networks

I wrote a Neural Networks prediction model in Python. My data has a few inputs and two outputs. In order to make it work, I have to normalise every column on data for good prediction results. ...
52 views

### How to fit an odd relationship with a function?

Let's say there is a function $f$ such that $y = f(x)$. However, if $f$ is a piecewise function such that: $$y = \begin{cases} 0 \quad x \leq 0 \\ 1 \quad x >0\end{cases}$$ How do I fit $f$ in ...
1k views

### Create a prediction formula from data input

I have an algorithm which have as an input about 20-25 numbers. Then in every step it uses some of these numbers with a random function to calculate the local result which will lead to the final ...
66 views

### Do I need to apply a Ranking Algorithm for this?

I have data of the form : ...
59 views

### 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 ...
1k views

### Analyzing survey data for predictions

I've got survey data that resembles: ...
70 views

### Predicting earthquakes using disturbances in DTH TV transmission

It is said that before an earthquake happens, a viewer experiences disturbances in DTH TV transmission in the form of distorted images on the screen which automatically correct after a few seconds. ...
664 views

### Using clustering and Lasso with cv

I used clustering on my dataset. Now when I'm trying to use a LASSO with cv to predict a response, one of the variables it takes into consideration is which cluster a new point is classified into.(I ...
42 views

### What algorithmic approach for selecting similar, relevancy based documents

I have an application that tracks people making mentions of various topics. We've used a Bayes algorithm to do some simple classification (users give a thumbs up/thumbs down) to pick the people that ...
960 views

### Predictive Model for Customer Payment Pattern

I am working for a logistics firm and there are approx. 750+ customers who avail our services. I am in the process of building and generating some insight for the business based on the payments made ...
520 views

### Best way to format data for supervised machine learning ranking predictions

I'm fairly new to machine learning, but I'm doing my best to learn as much as possible. I am curious about how predicting athlete performance (runners in particular) in a race of a specific starting ...
3k views

### Forecasting sales and creating model [closed]

In a assignment we are given macro economic indicators like GDP, Consumer price index, Producer Price index and Industrial production index. Also we are given Crude oil, Sugar prices and FM-CG Sales. ...
1k views

### Predicting Soccer: guessing which matches a model will predict correctly

I took on a project to predict the outcome of soccer matches but it turned out to be a very challenging task. I tried out different models but I only got 50-54% accuracy on my test dataset. Some of ...
575 views

### Combining data sets without using row.name

I start with a data.frame (or a data_frame) containing my dependent Y variable for analysis, my independent X variables, and some "Z" variables -- extra columns that I don't need for my modeling ...
1k views

### R in production

Many of us are very familiar with using R in reproducible, but very much targeted, ad-hoc analysis. Given that R is currently the best collection of cutting-edge scientific methods from world-class ...
273 views

### Interested in Mathematical Statistics… where to start from?

I have been working in the last years with statistics and have gone pretty deep in programming with R. I have however always felt that I wasn't completely grasping what I was doing, still ...
123 views

### problem of choosing right statistical method for scheduler prediction

I am struggling to choose a right data prediction method for the following problem. Essentially I am trying to model a scheduler operation, trying to predict its scheduling without knowing the ...
771 views

### How to start the process of coming up with the predicted math score?

I am working on a problem(non competition) from hacker rank https://www.hackerrank.com/challenges/predict-missing-grade Basically you're given test data of a bunch of students of their scores in ...
748 views

### machine learning on athlete performances to predict the time in a future race

Example Data I have a dataset (in R as a data frame) of race results for athletes. ...
203 views

### Format of CSV file

I'am trying to create a regression based prediction (like booking website): predict the number of clicks for each hotel. I have to generate a .csv file containing two columns: ...
868 views

### Rank players of any given sport

I've recently become interested in possibly of developing some sort of method for ranking athletes of sports such as American football and determining which players are better than others in terms of ...
153 views

### Could someone please offer me some guidance on some kind of particular, SPECIFIC project that I could attemp, to “get my feet wet, so to speak” [closed]

I am COMPLETELY new to the field of Data Science, mainly because every employer I have worked for, simply COULDN'T sell any customers anything that would use techniques learned in this field. Of ...
216 views

### Which Graph Properties are Useful for Predictive Analytics?

Let's assume I'm building a content recommendation engine for online content. I have web log data which I can import into a graph, containing a user ID, the page they viewed, and a timestamp for when ...
168 views

### Time series: variations as a feature

I am trying to predict clients comportement from market rates. The value of the products depends on the actual rate but this is not enough. The comportement of the client also depends on their ...
1k views

### predict with Multinomial Logistic Regression

If I execute the following code I have no problem: ...
130 views

### Web Framework Built for Recommendations

I'm wondering if there is a web framework well suited for placing recommendations on content. In most cases, a data scientist goes through after the fact and builds (or uses) a completely different ...
106 views

### Decision trees, categorizacion and oversampling

I want to create a model to predict the propensity to buy a certain product. As my proportion of 1's is very low, I decided to apply oversampling (to get a 10% of 1's and a 90% of 0's). Now, I want to ...
86 views

### Cross-sell models and additional holders

I would like to pose a question about how to treat additional holders in the propensity-to-buy models of banking products. Up to now I was only taking into considerations the clients as first holders....
1k views

### What regression to use to calculate the result of election in a multiparty system?

I want to make a prediction for the result of the parliamentary elections. My output will be the % each party receives. There is more than 2 parties so logistic regression is not a viable option. I ...
62 views

### Smoothing Proportions :: Massive User Database

What are some possible techniques for smoothing proportions across very large categories, in order to take into account the sample size? The application of interest here is to use the proportions as ...
511 views

### Can Machine Learning be applied in software developement [closed]

I'm from programming background. I'm now learning Analytics. I'm learning concepts from basic statistics to model building like linear regression, logistic regression, time-series analysis, etc., As ...
7k views

### Relationship between KS, AUROC, and Gini

Common model validation statistics like the Kolmogorov–Smirnov test (KS), AUROC, and Gini coefficient are all functionally related. However, my question has to do with proving how these are all ...
207 views

### Modeling when the response variable has too many 0's and few continuous values?

For problems where the data represents online fraud or insurance (where each row represents a transaction), it is typical for the response variable to denote the value of fraud committed in dollars. ...
334 views

### Differences in scoring from PMML model on different platforms

I've built a toy Random Forest model in R (using the German Credit dataset from the caret ...
326 views

### Regression Model for explained model(Details inside)

I am kind of a newbie on machine learning and I would like to ask some questions based on a problem I have . Let's say I have x y z as variable and I have values of these variables as time progresses ...
5k views

### Hashing Trick - what actually happens

When ML algorithms, e.g. Vowpal Wabbit or some of the factorization machines winning click through rate competitions (Kaggle), mention that features are 'hashed', what does that actually mean for the ...
7k views

### Looking for a strong Phd Topic in Predictive Analytics in the context of Big Data

I'm going to start a Computer Science phd this year and for that I need a research topic. I am interested in Predictive Analytics in the context of Big Data. I am interested by the area of Education (...