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Gini impurity in decision tree (reasons to use it)

In a decision tree, Gini Impurity[1] is a metric to estimate how much a node contains different classes. It measures the probability of the tree to be wrong by sampling...

Asked on 02/28/2021 by Gregwar

2 answer

LSTM to multivariate sequence classification

How can I train multivariate to multiclass sequence using LSTM in keras? I have 50000 sequences, each in the length of 100 timepoints.At every time point, I have 3...

Asked on 02/28/2021 by okuoub

1 answer

Tensorflow training with batch size of (1, None, features), but model expects extra dimension

I've made an autoencoder like below, to accept variable-length inputs. It works for a single sample if I do model.fit(np.expand_dims(x, axis = 0) but this won't work when passing in...

Asked on 02/28/2021 by komodovaran_

1 answer

Information Gain & Gini Index for NLP

I know how Information Gain and Gini Index work in General. I have problem figuring out how to apply these techniques in NLP and text feature extraction. Can someone show...

Asked on 02/28/2021

1 answer

Shuffling the images with DataImageGenerator and flow_from_directory in a Medical application (tensorflow 2/Keras)

I am facing the following situation: I have CT images (scans) of patients where 10 images describe each patient. These images are stored in separate directories based on...

Asked on 02/28/2021 by user8270077

0 answer

What is a logworth statistic, and how useful is it?

My teacher mentioned it today, and there is nearly zero good search results for it, other than one mention each in the SAS and JMP documentation. It says it...

Asked on 02/28/2021

2 answer

Need recommandations of using timing variables for forecasting sales

I have a data.table that contains many timing variables.Date: it gives the date of SalesPromo2(week, year): It describes the calendar week and the year when the store has started to...

Asked on 02/28/2021

1 answer

Which deep learning network would be suitable for classifying this kind of text data?

I have some experience with images and have played around with image classification using CNN's but have limited knowledge when it comes to text data. The input that I currently...

Asked on 02/28/2021 by StuckInPhDNoMore

1 answer

Customer Segmentation: Should I use a variable, representing a product, that is unpopular in the dataset for K-Means Clustering?

I am working with a data set that, besides customer age and income, tells the balance a customer has in different type of bank accounts: Checking, Shares, Investment, Savings, Deposit,...

Asked on 02/28/2021 by Obaid Khan

1 answer

How to prepare Audio-text data for speech recognition

I have gathered some raw audio from all the conferences, meetings, lectures & casual conversation that I was part of. The machine transcription did not offer good results (from Azure,...

Asked on 02/27/2021 by johnyc

1 answer

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