329 questions
1
vote
1
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52
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Why VotingClassifer performance with voting set to "hard" is different with different weights?
I wanted to test VotingClassifier from sklearn and comparae performance with different parameters. I used param grid and then I notice something unintelligible.
I prepared three classifiers
gnb = ...
0
votes
1
answer
89
views
Hard Voting Classifier: What happens in case of a tie (sklearn)
I have 9 different models for a classification problem with three possible outputs. I want to do VotingClassifier with a hard voting mechanism.
Sounds easy, just count how often which class is ...
2
votes
2
answers
79
views
Select subset of columns to maximize number of rows with ones more than zeros
Consider a matrix with m < 10000 rows and n < 1000 columns containing ones and zeros. I need to select k <= n columns so that the number of rows containing more ones than zeros is maximal (k ...
-2
votes
1
answer
139
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Voting between classifiers with different training data samples [closed]
I have a dataset with 25 features, 36000 samples, and 11 labels. In python I want to train some classifiers (with same type or not) with different samples of this dataset. In other words, the training ...
1
vote
1
answer
135
views
Voting every given time JS
I am working on a project of a leaderboard. It is not a real thing, just a demo for learning purposes as I am a newbie.
To the point. The user can click the voting button, which will add one vote, ...
0
votes
1
answer
59
views
Smart contract interaction error "code=INVALID_ARGUMENT, version=bignumber/5.1.1)"
enter image description here
Hello.
How can i solve this?
Thanks
I think there should be some kind of symbol betveen values, but i tryed different symbols, but dose not work for me. I don't know much ...
0
votes
1
answer
74
views
How to calculate the Voting Power of any validator address?
I am confused in how to calculate the voting power for any validator address. I am thinking and it also seems like we have to add the active and pending_inactive value.
For ex: for address: ...
2
votes
1
answer
72
views
How to perform majority voting from a data frame with ranking criteria
I have the following data frame:
dat <- structure(list(model_name = c("Random Forest", "XGBoost", "XGBoost-reg",
"Null model", "Plain LM", "...
0
votes
2
answers
421
views
How can I Ensure a User can only Vote Once on my ReactJS App Without any User Authentication?
I am creating a web app for a DJ where users can open up the site by QR code and request songs. Another section displays the current lineup, with up and downvoting capabilities. I current have it set ...
3
votes
0
answers
247
views
How to create GitHub issue template that is only visible to certain team?
Is it possible to limit the visibility of a GitHub issue template to a certain team?
An example use case is using GitHub issues to hold a vote amongst a maintainer team. It would be useful to somehow ...
0
votes
3
answers
253
views
Find majority elements in a dataframe (PANDAS)
I need to construct a majority voting (3/5) based on the (int64) elements in the various columns as new column (Voting)
Column1 Column2 Column3 Column4 Column5
0 0 0 6 1 0
1 4 4 ...
0
votes
2
answers
223
views
How to choose the most voted category from multiple columns in R
I have a classification problem I need to solve using R, but to be sincere I have no clue on how to do it.
I have a table (see below) where different samples are classified by three ML models (one per ...
2
votes
0
answers
37
views
SelectedItem changes on postback for Dynamically loaded Radiobuttonlist
I have the Radiobuttoncontrol definition static in the design page but loading the contents dynamically from db. But whenever i do postback, my selection vanishes and the first dynamic item is ...
0
votes
1
answer
372
views
Voting classifier UDF in pyspark
I am trying to implement a voting classifier in pyspark.
I used the function predict_from_multiple_estimator. The arguments passed to the function are estimators1 which are trained and fitted pipeline ...
1
vote
0
answers
343
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how to apply soft voting classifier for multi label classification
I applied 3 classifiers and I want to apply soft voting manually not by sklearn, in addition, I have 4 labels.
for example, I have 4 labels (L1, L2, L3, L4), each label has two classes(0/1):
class ...