All Questions
Tagged with machine-learning predictive-modeling
522
questions
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7
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Live odds data set for horse racing [closed]
I am looking for a resource of live odds for horse racing to implement in my model. I know they exist, I just can't find anything that has worked, yet. Live, updated and accessible are what I'm ...
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1
vote
1
answer
26
views
Feature Engineering a Recency feature
I have a customer scoring problem I'm working on specifically on predicting conversion and coming up with a probability score on conversion (using xgboost classifier atm). There's a feature I want to ...
- 11
1
vote
1
answer
158
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Optimized input data structure for ML model training
I have a large dataset (20M+ rows) of user interactions which I want to use to predict the probability of a customer purchasing an item in one-, three- and six months time. However since the ...
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0
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1
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48
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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 ...
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8
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Combing Output of Two Regression Models
I have two models.
Model 1:
I have a dataset of American high school students and their test scores and other characteristics. I built an ARDRegression model that predicts how well a student will ...
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30
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How to predict inside of the box temperature at a give outside temperature using python?
I Need help predicting inside of the box temperature at a given outside temperature.
Background
I have a system (also known as a BOX). The BOX is insulated from the outside environment and contains ...
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5
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How do I determine syndicate and collusion indication with clustering and network analysis on a large unlabeled user transaction data?
How do I determine syndicate and collusion indication with clustering and network analysis on a large unlabeled user transaction data?
So far, I've only been training with labeled data on fraud-...
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23
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Select estimators for Voting classifier
I don't know the efficient method to select the best subset of the estimator that saves time and highest accuracy. How to choose the best estimators for the Voting classifier?
Voting Classifier is an ...
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11
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LSTM Model for Multivariate Multi-Series
I'm looking to create an LSTM model to predict a certain label trained on multiple short-time series data. How would I go about doing this? Each time series has 10-30 time steps and 20 different ...
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0
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1
answer
37
views
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 ...
- 661
1
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41
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How to Yield a Better AUC / Lift Score?
I have a dataset with 200k records and 173 features focused on binary classification. Class proportion is around 98.7:1.3 (1.3% target=1).
Currently, I am trying to increase the performance of my ...
- 11
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1
answer
63
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Sale Forecasting Problem -- Is it legit to use inventory level as a feature?
I'm working on a project to predict future sales for our company's products so that the supply chain can have better idea how much to restock.
Detail about the model I'm working on:
Model: LGBM (from ...
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0
answers
15
views
Prediction with optional parameters
I want to build a machine learning model that has 25 input feature and two labels (my problem is a regression task if it makes any difference), to my knowledge since I have two labels I need two ...
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2
votes
2
answers
55
views
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/...
0
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1
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96
views
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-...
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