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Questions tagged [predictive]

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Finding the optimal unique number of words to estimate a predictive model with target x, using cross-validation

I was wondering if anyone could tell me how to find the optimal number of unique words with text mining, to use for predictive models. This is done by conducting a sentiment analysis (which is completely fine for a pre determined number of words).…
Frank Li
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R: Understanding K-Fold Validation Correctly?

Good Afternoon. I wanted a sanity check after doing research about k-Fold Cross-Validation. I will provide my understanding, and then provide an example of how to execute the preconceived understanding in R. I would really appreciate any help on if…
Kyle
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Pandas & Matplotlib: personalize the date format in a line chart

I want to make the dates on the x- axis look more prettier, currently the dates cannot be even read. what is the best way to do it. Below is the code and also the actual graph picture import matplotlib.pyplot as plt import pandas as pd import pandas…
Ashita Ramteke
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Manhattan distance problem in python without using scikit learn module?

I need to predict the level of a certain index for a country (Scale of 1-100) which is the target feature based on 5 macro-economic and social features/indicators ( Life expectancy , infant mortality , % of GDP spent on military etc ) I need to…
axel_p
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Determining which intervention is most predictive of outcome in python

I am new to ML and currently using Python. If I am testing a set of interventions on a certain outcome . What kind of tools/Python programs should I start learning to begin to determine which intervention (or combination of interventions) is most…
Jco15
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Can I change the datatype of metadata

Does someone know if you can change the datatype of metadata? I would like to predict the price of Airbnb stays. The price is depending on the room type and the location of the stay. Both features are marked as metadata. As a consequence I cannot…
lyv
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Predicting next 4 quater customer count based on last 3 years quarterly customer count

I am currently working on a project where i need to predict next 4 quarters customer count for a retail client based on previous customer count of last three years i.e. quarterly data means total 12 data points. please suggest a beat approach to…
Shashank Paliwal
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When should I use logistic regression and KNN for classification?In other words,what are the differences in usages of the two?

I am learning Predictive Modeling and was wondering both Logistic Regression and KNN can be used for classification in case of supervised learning.Then in which cases should we use one or the other?More specifically what are the differences in their…
Abhishek
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how to extrapolate time series model to predict out-of-sample future values using statsmodel

I have a AR time series model that measures sales in each month going back 10 years using statsmodel. Right now, my model predicts values in existing months (the independent variable) but I'm having difficulty finding a way to build on my model to…
Sangwoo Chun
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H20 Autoencoder Anomaly only accepting numerical predictors

I am using h2o autoencoder anomaly for finding outlier data in my model but issue is autoencoder only accepts numerical predictors. My requirement is i have find outlier's based on CardNumber or merchant number. and Cardnumber is 12…
Sarvendra Singh
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Roadmap from sensor data to predictive maintenance

I am new about these topics. I research a lot of article about this issue. There are a lot of different techniques. But I am confused, because I don't know, where to start. According to my research, first important thing; I must make preprocessing…
özlem bulu
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Prediction of Failure using Time series data

I am using Python and Pandas. I am working on a predictive maintenance project where my intention is to predict the probability of a failure which will occur in a given time period, say 4-6 hours. I have preprocessed the data and reduced it to the…
Pavan Kumar Shekar
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Populate dynamic table in with predicted values in shiny R

I want to load a file and create predictive model using file data. The UI also displays a list of items and takes price input for the items displayed. I would like to take these input values, create a dataframe and run prediction over the created…
sak
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Export SAS model

I built a predictive model on SAS using their Model Studio. (My first one!) Everything worked, but I can't publish it, see the model, test any other data source against it, or export it. What do I need to do next? I built this using a trial of their…
sfAndTri
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How to test significant improvement of LRM model

Using the rms package of Frank Harrell I constructed a predictive model using the lrm function. I want to compare if this model has a significant better predictive value on a binomial event in comparison with another (lrm-) model. I used different…
Klaas J
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