All Questions
Tagged with regressionpredictive-modeling
146 questions
5votes
1answer
49views
How to do Exploratory Data Analysis when my response variable is binary?
I am doing a multilevel regression, and my response variable is binary (presence of females on a tech board). all the EDA methods i know are about plotting correlation, but this as this is a binary i ...
- 53
0votes
1answer
88views
Why would a model for a dataset produce different root mean square error results?
I'm trying to get a Data Scientist Associate certificate from DataCamp. I have a problem with the sample exam provided to practice for the Practical Exam. I have provided the details below. I'd really ...
0votes
1answer
40views
Partial Least Squares model returning negative values for curve or spline like output
I have a dataset which measures the different altitude of a basketball thrown at 4 intervals, 1 second, 2 seconds, 3 seconds, 4 seconds. The features are weight, height, years in sports participation. ...
0votes
0answers
38views
P value for partial least squares regression in python
is there a way to calculate Pvalues for Partial Least Squares (PLS)? Or any preferred method to evaluate coefficient significance for PLS method? Preferably done in python
- 11
1vote
1answer
88views
How to model a polynomial function with many features and multiple outputs
With linear regression (and multiple linear regression), one can have many features but only one output as y. I need to build a model with multiple x's that also outputs multiple y's in a polynomial ...
- 11
0votes
1answer
56views
How can I improve my predictive model?
Here is my interpretation of my model so far, I am investigating the relationship between ratings and followers on video games, but there is a problem. The more you get high ratings, the more you get ...
0votes
1answer
116views
Build a Neural Network for Multi-output Regression
I have a network model that accepts about 25 inputs and outputs 3 actions. The outputs are: delta X and delta Y of the robot and the angle of the robot. After I enter the data into the model, I get ...
- 1
3votes
1answer
66views
When do you know training a model is not feasible?
A couple weeks ago I volunteered to take on a project at work to try predicting the ideal price rental cars my employer should be charging based on our historical rental data. The variables available ...
- 31
0votes
1answer
86views
What's the best model choice for a non-linear regression task?
I have a dataset with the following format: Rows: 3700, float_columns: 17, int_columns: 2, categorical_columns: 12 Target Type: Continous, float My dataset is an insurance dataset that stores the ...
- 701
2votes
2answers
68views
Handling Month-over-Month data in Regression Model
I have data similar to what you see in the picture. I want to use a RandomForest Regression model where I can use fields (excluding MONTH_END_DT and LOCATION_ID) to predict REVENUE_PER_UNIT. The idea/...
0votes
1answer
336views
Effect on regression coefficients by multiplying a constant to a feature
I was solving one quiz question on Coursera and I found an interesting question. If you double the value of a given feature (i.e. a specific column of the feature matrix), what happens to the least-...
- 165
0votes
3answers
1kviews
Best model for regression in this case?
I am doing some modeling to predict a variable of interest given a big set of features (500) for which I expect a considerable amount of interactions happening at least among some of them. I first ...
- 111
1vote
1answer
137views
improving Neural network regression model
I have the following toy data (which closely mimicks my original larger data used for the project): ...
- 139
0votes
1answer
73views
How to treat missing values depending on what missing means
I have a dataset with quotes from an insurance company. I am trying to create a model to predict how much should the company charge the customer according to the different variables. Two of the ...
- 103
0votes
0answers
22views
Classification-Problem based on limited Dataset (Need keywords to search/ reading recommendations)
I have a dataset of about 200 test subjects, each with age, testscore and a one of two possible traits. I want to define some kind of function, where I input age and testscore, that predicts which of ...
