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Data Science : Recent Questions and Answers (Page 115)

Find answers to your questions about Data Science or help others by answering their Data Science questions.

Method of hyperparameter tuning for regression tree ensembles in Matlab

What regression tree ensemble methods and what parameters does Matlab actually consider in hyperparameter tuning? The documentation appears to be sparse, to say the least. See https://se.mathworks.com/help/stats/fitrensemble.html...

Asked on 06/03/2021 by AzizG

0 answer

value error of incompatible wrong dimension during training a model

I was implementing a decision tree on a dataset. Before that, I wanted to transform a particular column with CountVectorizer. For this, I am using pipeline to...

Asked on 06/03/2021

1 answer

Validate via predict() or via fit()?

There are several possibilites to evaluate a model:hist = model.fit(x_train, y_train, (...) ...

Asked on 06/03/2021

2 answer

Automated tools to generate synthetic training images out of synthetic 3D models and 2D backgrounds

I have 3D meshes and textures for a dozen of objects, which have to be detected in synthetic images. I have 2D textures of backgrounds these objects will be visible...

Asked on 06/02/2021 by Paul Jurczak

0 answer

is SST=SSE+SSR only in the context of linear regression?

the problem of regression is to minimize the sum of squared errors, i.e. $sumlimits_{i=1}^n (y_i - hat{y}_i)^2 = 0$ .But only in linear regression could you use the...

Asked on 06/02/2021 by Akshay Prabhakant

1 answer

Distinguish real building pictures from rendered ones

I need to train an algorithm to identify rendered building images from real pictures. Here's an example: A rendered picture A...

Asked on 06/02/2021 by Juliano Grams

1 answer

how to improve baseline logistic regression in high dimensional binary classification problem?

info about dataset:df.shape = (10000, 100)all feature are numerical values.few outliers in each column, column with most outlier have 0.7% of data as outlier.I am trying to improve on my...

Asked on 06/02/2021 by haneulkim

0 answer

Usage of KL divergence to improve BOW model

For a university project I chose to do sentiment analysis on a google playstore reviews dataset. I have obtained decent results classifying the data using BOW model and an ADALINE...

Asked on 06/02/2021 by Balocre

0 answer

Logistic regression score is negative

I am trying to implement logistic regression algorithm. I am using sklearn for this purpose. When I am printing the accuracy its printing negative value. Code:import numpy as npimport...

Asked on 06/02/2021

2 answer

Remove unnecessary Neurons from a Neural Network regarding a particular output

Suppose we have a Neural Network with a binary output (0 or 1). What I am trying to do is to remove neurons or layers from the NN while maintaining...

Asked on 06/01/2021 by Achraf El Khamsi

2 answer

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