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Questions tagged [feature-scaling]

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1answer
27 views

What units is my mean squared error if I center and scale my training data?

I have a KNN model that I used to predict the close price on houses. ...
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1answer
24 views

Scaling different data sets such that transformed values will be between (0,1)? [closed]

I am creating a model to calculate the weighted average score where parameter values are coming from different datasets. DATASET 1 RANGE: [-1,1] DATASET 2 RANGE: [0,100] DATASET 3 RANGE: (-...
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9 views

What scaling to choose for data that is always >0? Does it matter?

If I have something like stock price or income that cannot be negative, what scaling should I pursue? Is there research that suggests that centering it at 0 will cause issues? I'd assume so but I ...
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0answers
8 views

Feature scaling/normalization follwing a sample level normalization

In micro-array or many similar platforms per sample normalization (z-score) is a common practice to minimize the impact of outlier values. Do we need a feature scaling after this ? In Details : I ...
2
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1answer
63 views

Scaling data with different importance

I have 9 attributes: x1,x2,x3,x4,...,x9 and I know that the attributes x9 must have the same value in a cluster and the attribute X1 have more importance than others (x2,...,x8) I'm using Euclidean ...
1
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1answer
40 views

When to scale data, if I have features of all numeric values? [closed]

i'am working on a case study, i'am having train data in which there are 45 columns out of which 28 are useful, case study is related to loan approval. all the columns in dataset are int64 format. ...
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29 views

Z score standardisation vs min-max scaling for feature selection

I am applying l1 norm on the input weights of a single layer MLP. I wanted to know if I should standardize or min-max scale ([0 1] feature scaling) my input data?
3
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1answer
83 views

Which machine learning algorithms get affected by feature scaling?

Which of the following machine learning algorithms will be affected if we apply feature scaling? Naïve-Bayes k-Nearest Neighbor (KNN) Support Vector Machine (SVM) Decision Trees Neural Network (...