All Questions
Tagged with machine-learning regression
576
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7
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Improving weak model with little dataset
I have a dataset that has 20 features and 65 samples. I did data scaling. I also did feature selection in different ways. But this is the result. Test set evaluation:
MAE: 2.3462910007887787 MSE: 8....
- 11
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18
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How to create Radial Basis Function Network for Regression problem in python using Tensorflow (keras)
I am working on a non-linear regression problem using a dataset with over 100 sensor data columns and a single output column containing real numbers ranging from 0 to 10,000. I have implemented a ...
1
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38
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How to deal with a dataset with low feature importance?
I have a dataset whose feature importance lists descendingly as 0.25, 0.16, 0.11, 0.08, 0.05, followed by many features with 0 importance, and the importance drops dramatically. Although the total ...
- 31
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Struggling with normalization/Standardisation for machine learning dataset
Sorry for what is probably a very obvious/rookie question. I'm currently doing a data science module for my degree and making very slow progress with the work.
The case study i'm doing is around HR ...
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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 ...
- 1
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19
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Model improvement
Whenever I try to solve some ML problem I get stuck on the first model I choose. I understand the bias-variance tradeoff, but I think it is not the only way to debug a model. Are there any tools to ...
- 101
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27
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Extremely Imbalanced and Gapped Dataset in Regression Problem
Currently I am working with a biological dataset with a range of 0-to-1 to do a multi-task regression with Deep Learning. However, this dataset has an empty gap in the range 0 to 0.2 (however there ...
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24
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Adaptive Lasso Coefficient Weights
I'm trying to understand how the Adaptive part of Adaptive Lasso works. I understand that theoretically, the weights for zero coefficients are inflated to infinity. But can someone explain this ...
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12
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How can I combine/pool of the results of regression with neural network?
My study has ten imputed dependent variables (plausible values). After separately analyzing each dependent variable using a regression neural network (NN), I must combine/pool the results. I tried ...
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82
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How to compute confidence interval xgboost regressor?
I have time series data to predict values for the next 6 months.
I have an xgboost model that predicts the six individual months, for the business what is important is that the cumulative value of ...
1
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1
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106
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What's wrong with my implementation of an MLP?
I'm trying to predict housing prices from a Kaggle dataset using an MLP with 3 hidden layers (10 neurons each). Having read about MLPs and backprop in the CS229 notes, I tried to do my own ...
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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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1
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34
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Uncertainty in stacked ensemble model
I am using the stacked generalization scheme to combine the predictions from different machine learning models (input models from now on).
I am currently calculating the prediction interval for each ...
- 111
1
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127
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Generating quality synthetic tabular data - is it possible when one's dataset is extremely small?
I've got a dataset consisting of only 17 samples and 6 continuous features (all values in the dataset contain decimals, although 2 features exhibit categorical-ish behaviour). I'm looking at the ...
- 11
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18
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How to make my validation plots more stable and improve R2 metric?
I'm working on predicting 4 numeric values basing on signal spectrum (spectrum is represented as an array of 800 numeric values in scale 0 to 1). The input values are scaled by using StandardScaler. ...
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