Data Science Questions, Problems & Solutions : TransWikia.com ~ Page 85

Confusion Matrix

Here is my question in my assignment:You have built a classification model with 90% accuracy but your client is not happy because False Positive rate was very high...

Asked on 07/07/2021 by Mugdha Bhatnagar

3 answer

Matrix notation in Sutton and Barto

On pg. 206 of Barto and Sutton's Reinforcement Learning, there is a curious statement about the result of a scalar product: ...

Asked on 07/07/2021 by corazza

1 answer

Is it good practice to transform some variables and not others?

I have a dataset with categorical variables encoded into numeric values, other variables that are continuous and have many outliers, and other continuous variable with a fairly normal distribution. I...

Asked on 07/06/2021 by JMarcos87

1 answer

Are there any good out-of-the-box language models for python?

I'm prototyping an application and I need a language model to compute perplexity on some generated sentences. Is there any trained language model in python I can readily use? Something...

Asked on 07/06/2021

5 answer

Can I deal with a missing not at random column by creating a new column? (Feature engineering)

Task: Binary classification Example problem: Let's say we have two feature columns A and B. A has no nulls and is a binary column if a user completed an action...

Asked on 07/06/2021 by user2229066

1 answer

How does Batch normalization help optimization? Proof

I am reading the paper How Does Batch Normalization Help Optimization found here. $newcommand{norm}[1]{leftlVert#1rightrVert}$ But I am having trouble understanding the proof of the paper. It's...

Asked on 07/06/2021 by NeverneverNever

0 answer

Use Large Existing Dataset to Extract Information From Text

What I have:I have a large dataset of documents and their data.So I have the text of about 1M documents, and I know, for example the invoice number,...

Asked on 07/06/2021

0 answer

How sensitive are feedforward Neural Network to weight changes?

Let's consider the space of feedforward neural networks with a given structure: $L$ layers, $m$ neurons per layer, ReLu activation, input dimension $d$, output dimension $k$....

Asked on 07/06/2021

3 answer

model selection in clustering

I am working on a mall customer segmentation dataset (5 features, 200 rows) using clustering. This dataset does not have any ground truth labels. I had a few doubts regarding...

Asked on 07/05/2021

1 answer

Is is possible to see the input labels for a randomforest model?

I have a random forest model built like this:from sklearn.ensemble import RandomForestClassifierfrom sklearn.model_selection import train_test_splitmodel = RandomForestClassifier(random_state=0)X_train,X_test,y_train,y_test = train_test_split(X, y, test_size = 0.2, random_state=42, stratify=y)model.fit(X_train, y_train)Is there any...

Asked on 07/05/2021 by matt3526

2 answer

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