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18 views

Where should I find electrolytic capacitor ageing data

I am trying to get a dataset of Electrolytic capacitors ageing and I am not being able to find one that shows the ripple current and the voltage in order to calculate its Equivalent Series Resistance (...
Jan Cabrera's user avatar
1 vote
1 answer
289 views

Probability Distribution on the Test Set

How can one interpret the probability distibution of the predictions for the target of the test set? For example if we wanted to interpret the plot below, can we say it is overfitted? Here x axis ...
gato's user avatar
  • 11
0 votes
0 answers
38 views

Prediction based on predicted data

may I ask if anyone of you knows well references on the prediction method based on the predicted data? By prediction based on the predicted data, I mean for example I have constructed a predictive ...
jengmge's user avatar
  • 19
1 vote
0 answers
38 views

Multivariate regression - not enough data?

I have a table with data about 10 agriculture parcels. Each parcel has data in time regard the number of nutrients each parcel has received in each day and in the end I have the total number of ...
Inquirer's user avatar
-2 votes
3 answers
64 views

How to decrease $R^2$ value and change it to positive value [closed]

I'm working on a data, and use regression , as you see bellow: from sklearn.svm import SVR regressor = SVR(kernel = 'linear') regressor.fit(trainX,trainY) above ...
ramin's user avatar
  • 13
0 votes
1 answer
619 views

Machine Learning: Predicting target based on a feature

I have a df looks as follow: -It is very likely that the same feature1Xfeature2Xfeature3 combination will appear multiple times....
Philip L's user avatar
  • 101
2 votes
2 answers
2k views

How to cluster categorical and numerical data in the same dataset?

I have a dataset in which it contains both numerical and categorical data. This can be done using supervised learning algorithms, but I am eager to see how this data can be clustered using some ...
HelloWorld's user avatar
0 votes
1 answer
52 views

Searching prediction from 4 datasets

The fourth dataset contains (train_data, test_data, previous_data, and information_history_data). The goal is to search for a user's rating on the loan to the bank. ...
lilis gumilang's user avatar
2 votes
1 answer
2k views

How to extract the sample split (values) of decision tree leaves ( terminal nodes) applying h2o library

Sorry for a long story, but it is a long story. :) I am using the h2o library for Python to build a decision tree and to extract the decision rules out of it. I am using some data for training where ...
Sapiens's user avatar
  • 21
2 votes
2 answers
8k views

What algorithms are good to predict next numbers?

Let's consider we have several hundreds of numbers like ( 1, 2, 5, 8, 7, 15, 19, 8, 4, 6, ...) those are closed numbers of a stock on consecutive days for example. I like to know what algorithms are ...
user3486308's user avatar
  • 1,300