Data Science Questions, Problems & Solutions : TransWikia.com ~ Page 31

Reframing multilabel classification with imbalance in "both" directions

Consider the multilabel problem when asking "does the sample belong to this class" with, for example, a movie label dataset where almost every movie is labelled "drama" because of this...

Asked on 09/05/2021

1 answer

Interpreting a precision recall curve

I have plotted the above precision recall curve for a binary classification problem where the classes are imbalanced. Classes are...

Asked on 09/05/2021

1 answer

What is the best way to normalize a set of datasets

I have a data set that contains the same Time series "Sensor readings" for different days and I want to make a deep learning model to predict these values. What...

Asked on 09/05/2021 by Izo

2 answer

Can setting of different thresholds help in model performance in case of handling class imbalances?

In a binary classification problem where there is class imbalance, after applying undersampling/oversampling or SMOTE techinques, is it still convention to use a 0.5 threshold if we are making the...

Asked on 09/05/2021

2 answer

Help required in understanding how the error of a convolutional layer is calculated when filter and delta of next layer have differing dimensions

I am trying to implement a CNN in NumPy so as to better understand its inner workings My architecture is as follows10 images with 1 channel and with 28-pixel rows...

Asked on 09/05/2021 by adhok

0 answer

How to model user choice probability: binary model vs multi class model

Let's say Morpheus has multiple users to offer colored pills(from an infinite set of colored pills), there are in total 3 unique colored pills(red, blue, green) Morpheus can offer. The...

Asked on 09/05/2021 by puneet

2 answer

What does it mean that an hypotesis is consistent?

I am studying concept learning, and I am focusing on the concept of consistency for an hypotesis. Consider an Hypotesis $h$, I have understood that it is consistent with...

Asked on 09/05/2021

1 answer

Training CNN on a huge data set

I am trying to train an AlexNet image model on the RVL-CDIP Dataset. The dataset consists of 320,000 training images, 40,000 validation images, and 40,000 test images....

Asked on 09/05/2021 by Omar Rayyan

1 answer

What does it exactly mean when we say that PCA and LDA are linear methods of learning data representation?

I have been reading on representation learning and I have come across this idea that PCA and LDA are linear methods of data representation, however, auto-encoders provide a non-linear way....

Asked on 09/05/2021 by Ankita Talwar

1 answer

How to make an MNIST classifier work with blank images?

I am trying to make a Sudoku solver and for the image recognition I trained a CNN but the problem that I am facing is that I don't know how...

Asked on 09/05/2021 by Ankit Chawla

1 answer

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