Questions tagged [distribution]
The distribution tag has no usage guidance.
99
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1answer
20 views
difference btw data distribution and frquency distribution
I have a dataset with 'n' features and corresponding labels(binary in nature). How can I calculate the data distribution and frequency distribution of the same? What is the difference btw the two?
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0answers
13 views
Calculate marginal probability distributions of a dataset
I have a dataset with 'n' features and a label(binary) corresponding each entry. I am using a predicitive model to predict these labels using those 'n' features. Now, I wish to know the marginal ...
3
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1answer
33 views
Confidence value for face recognition
In the context of face recognition I have the following histogram:
blue bins count the comparison distances for "self matches" (comparing two images of the same person). Orange bins count the ...
2
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1answer
23 views
Synthetic time series generation according to some distribution
I'm trying to develop a change detection model that uses sliding windows. Given a time series with some features I've a sliding widows that analyses that time period and compares with a successive ...
1
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0answers
15 views
SQL Oracle - Excel's BETAINV function (Inverse cumulative function of a beta distribution) in SQL Oracle
Is there a function equal to Excel's BETAINV(probability,alpha,beta,[A],[B]) in Oracle SQL Developer? Or a similar one which I could use to return the inverse cumulative distribution function of a ...
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0answers
36 views
2
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1answer
17 views
Testing for gender composition between groups
I did kmeans with k=4 and I would like to find out if there are any differences in the composition of gender between the 4 clusters.
Do I use Fisher's Exact Test of Independence? Is there any ...
2
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1answer
19 views
evaluation metrics for multiple values per session
I have an application that executes my foo() function several times for each user session. There are 2 alternate algorithms that i can implement as "foo" function and my goal is to evaluate them based ...
6
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3answers
92 views
Regression: How to deal with positive skewness in continuous target variable
I'm working on a regression problem. My aim is to "learn" the distribution of a continuous target $y$ as good as possible to make predictions. My model looks like:
$$y_i=\beta X_i + u_i.$$
$y$ is ...
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0answers
16 views
Univariate Outlier Detection
Let's say I have a dataset with the following format:
customerid
product
orders_in_last7days
orders_in_last6days
orders_in_last5days
orders_in_last4days
orders_in_last3days
orders_in_last2days
...
2
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0answers
15 views
How to estimate the marginal distribution of a class with respect to one predictor in a classification task?
I have a dataset with a binary dependent variable $y \in \{0,1\}$ and a set of predictors $x1,x2,..,t$. Here, $t$ is the time in minutes (in 24 hrs, that is $t \in (0,1440)$). I want to estimate the ...
2
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1answer
22 views
Generating random numbers from best probability distributions?
I have done some statistical distributions on real-world data. The distribution fitting gives me the below results (lognormal fits the best on data based on chi-squared test):
...
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0answers
21 views
How to do normalize distribution technique on a simple matrix?
This is just a practice about normal distribution in MATLAB and not a real project.
I created a simple matrix and want to test normal distribution on it, it's
...
0
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1answer
19 views
How to set and check normal distribution on a data set?
Sorry if my question is simple, I have a data set with two class and want to check and set normal distribution on it(if it was necessary, in MATLAB).
But the question is that I should use it on every ...
0
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1answer
25 views
How does $\chi^2$ feature selection work?
I can't find the information how $\chi^2$ are used to select numerical features for a model.
...
0
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1answer
32 views
The distribution of dataset train and test are the differents, how to fix this?
I am new in data science and like some help to understand my problem. For instance, I have two signals non-stationary for the same condition (figure 1).
I acquisition them at different times(in the ...
0
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1answer
18 views
Can continuous dataset have negative values? [closed]
As in the description, I want to choose continuos dataset with temperatures and the minimun value is -40 and maximum is 51. Is that OK? Can we have negative values in continuous distribution?
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0answers
24 views
Use of PYMC distribution.dist()
In pymc3 documentation, it specifies that the .dist() member for distribution allows the distribution to be used without a model for sampling and use of the logp functions e.g.
...
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0answers
15 views
When to use t-distribution instead of normal distribution?
According to the Student's t-distribution wiki article the t-distribution is used instead of the Normal distribution "when estimating the mean of a normally distributed population in situations where ...
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0answers
20 views
Using normal distribution data with high amplitude
I am using some data from a csv file to train a model which detects credit card fraud. The data set is from Kaggle and has 284,xxx samples each with 30 features.
After some visualization in Python, ...
1
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1answer
32 views
Why do train, test, validation datasets need to have the same distribution?
I've found a lot of martial on how to deal with differently distributed train/test/validation data sets, however I'm struggling to find out why they they need to have the same distribution.
Can ...
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0answers
20 views
How to avoid dataset shift or covariate shift? [duplicate]
I wonder If there can occur a dataset shift or covariate shift through the following train_test_split-method?
...
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0answers
4 views
the metric that can be used to characterize and compare different histogram
There is a set of different data set, each of which corresponds to a histogram. Are there any metrics that can be used to characterize the shape of each histogram, and further compare different ...
1
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0answers
16 views
Co-joining multi-peak histograms
I am analysing a bunch of data files which represent responsiveness of cells to addition of a drug. If a drug is not added, cell responds normally, if it is added, it shows abnormal patterns:
, .
We ...
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0answers
9 views
How to estimate claims for warranty analytics where continuous improvement reduces warranty claims?
I have a situation where a company who has warranty claims on its product and they want to know that is it possible for them to extend that. Now the case is that they do improvement on the existing ...
0
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1answer
24 views
Predicted and true values distributions comparison
Is this alarming when a distribution of predicted values differs from a distribution of true values? I use xgbregressor and get the following plots
Usage of boxcox doesn't improve the case.
My data ...
0
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0answers
16 views
Normalization of Distribution of numeric features and target
Here, I am talking about the Normalization of Distribution of Features/Target, not normalization/scaling of them.
I've been seeing Notebooks which normalize some features and the target variable, ...
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0answers
44 views
dataset shift, covariate shift or sample selection bias in small subsets?
I try to show from which training data size on which machine learning method (CNN, SVM etc.) achieves better performance.
For this I would like to use subsets of different sizes from the datasets of ...
2
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0answers
64 views
difference between normal skewed distribution and skewed distribution
From what I've read normal skewed is a distribution that has all the properties of normal distribution and is skewed:
according to this resource:https://www.statisticshowto.datasciencecentral.com/...
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0answers
52 views
How to combine data having similar distribution?
I have a collection of time series data with data points of around 2 years of daily data. I am thinking of a way to increase the number of data points in it so that the neural network gets a better ...
2
votes
0answers
19 views
Is it possible to train probabilistic model to return several distributions?
I have nonlinear data of function y(x), which is let's say parabolic. At some points of x there are several y's (look at the picture).
Is it possible to train a probabilistic model to return several ...
1
vote
2answers
97 views
Fitting a distribution to data
I have a large data set of property values at two points in time. I have calculated the change in value between those two points. I want to assess which distribution most closely matches the variation ...
2
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2answers
63 views
How this visualisation was made?
I really like how this visualization represents the survey participants.
Is any tool for that? (Or R/python library?)
6
votes
3answers
204 views
xgboost: Is there a way to perform regression on rates/percentages data?
I have a dependent variable, $Y$, that is made up of rates/percentages data, so each value is between $0$ and $1$. I was attracted to the xgboost library because it allows focusing in on specific ...
0
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1answer
28 views
How to generate 12 independent random weights which all add up to one
I'm using Palisade's @Risk software with a triangular distribution to generate 12 random weights which must add up to one, but I get a lot of negative numbers. Is there a straightforward way to set ...
0
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1answer
132 views
CUDA 8.0 is compatible with my GeForce GTX 670M Wikipedia says, but TensorFlow rises an error: GTX 670M's Compute Capability is < 3.0
According to Wikipedia, the GeForce GTX 670M has a Compute Capability of 2.1 (and a Fermi micro-architecture), which is confirmed by TensorFlow (I can read "2.1" in the error it rises).
Wikipedia ...
1
vote
1answer
30 views
Why do seaborn.dist and pyplot.hist generate two different looking histograms on the same data?
I'm looking at telecom customers data. Two of the variables I'm looking at currently are:
Monthly Charges - The total amount charged to the customer monthly.
Is Senior Citizen - Whether the customer ...
0
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0answers
11 views
Which distribution should I use for Naive Bayes algorithm(Gaussian or Rayleigh)? What to do with categorical data?
I am predicting whether credit card application of an individual would be approved or not given his/her credentials.
I have the following dataset:
The variable descriptions are as follows:
I need ...
0
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1answer
50 views
Effect of skewness in data
I am preparing classification model. Many of numeric variables are positives skewed. Should I change a distribution of variables to be more Gaussian?
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2answers
23 views
How do I fix mis-rendered matplotlib?
How do I correct my data or format it so that it is presentable, and fix my graphs?
Dataset is 345551 rows × 7 columns.
I am using numpy, pandas, seaborn and matplot lib.
It seems that my pricing ...
0
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0answers
11 views
Compare large prediction with observed values
I have test scores for a lot of schools and I created a performance index calculated using the last score of a state test. This index is supossed to predict the performance of the school in the next ...
0
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1answer
183 views
A2C Continuous for Pendulum-v0 working implementation, negation for loss and entropy calculation
very good implementation of A2C continuous for Pendulum-v0
Code has snippet to stop execution when mean of last 10 or 20 is higher than -20 but the results look like:
...
2
votes
1answer
39 views
How to scale or standardize data that is mostly 0 (ranges from 0-1)?
I am relatively new to data science and big data munging in general. I currently have various columns of data that range from $0-1$, but most of the values in each ...
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0answers
20 views
F-test for comparing the mean of two groups
What would be the procedure, in terms of F-test, if I would like to check if the mean of one group is greater than the other group (alternative hypothesis: $\mu_1 > \mu_2$)?
And also what would ...
3
votes
1answer
309 views
Plotting Weibull distribution on Wind Speed
I have a 720 hourly set of wind speed and wind direction data and I want to fit the Weibull Distribution on it. After searching for some time, I wrote the following code in Python to get my ...
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0answers
17 views
How does t-sne scale work? Is it possible to compare scales of two t-sne plots?
I have used t-sne for two convolutional layers of binary classifier (VGG16 like CNN). I want to compare them, but I am not sure if that is okay as the scales of these two outputs from t-SNE plots can ...
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0answers
14 views
Normalization in SVM classifier
I am trying to normalize my features for a classification model with 3 class outputs. There are two kinds of features. First is medical test results and second is patient information such as age. The ...
0
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0answers
55 views
Normalization and probability density function
I am wondering is it reasonable to calculate the probability density function ( or calculate some measures of the probability distribution such as skewness) of data after standardizing the data (or ...
7
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2answers
560 views
how to check the distribution of the training set and testing set are similar
I have been playing the Kaggle Competition and I find there is a situation that the distribution of the training set and testing set are different, so I am wondering how to check the distribution of ...
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0answers
12 views
create joint prob distribution or empirical relation for two variables
There are two variables, X1 and X2. The experimental study shows that they are highly correlated. Are there any reliable ways to create an empirical mapping(or equation) between X1 and X2. Assuming ...
