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1 vote
2 answers
301 views

Does it make sense to tune a model in scikit-learn and copy/paste the parameters into Rust's linfa?

I have a situation where my data can only be read from in a hosted Python environment, due to data security reasons. However, I am constrained to run ML models in a Rust environment due to work-...
wtwtwt's user avatar
  • 111
1 vote
0 answers
25 views

How to estimate a best fitting line that separates variables on a scatterplot by some third binary outcome variable with 95% accuracy?

0 I've been thinking about this and haven't found a non-brute force method of doing it. I have a series of scatterplots depicting the relationship between two predictor variables and a third binary ...
PSB's user avatar
  • 27
1 vote
0 answers
168 views

How to make Support Vector Machine source code without using libraries in R? [closed]

I want to estimate w and b using loops and functions. I also want to predict new variables. I need simple scratch code to understand the mathematics behind the Support Vector Machine.
rijah khan's user avatar
1 vote
1 answer
783 views

Support vector machines in R: Finding the equation of a hyper plane (in 6 dimensions) and showing it's correct

...
Diesel Blue's user avatar
0 votes
1 answer
27 views

What do each of the three SVM classes in R represent?

Inspired by this post, I took a look at this doc SVN in R output this: ...
JJJohn's user avatar
  • 623
1 vote
1 answer
315 views

SVM model classifying into one class only, after standardization

I'm trying to use SVM in R (e1071 package) to classify samples as normal or tumor. I have two separate data sets - Training (~50 samples, 100 features) and Test (~60 samples). These data sets are ...
Jane's user avatar
  • 51
4 votes
2 answers
1k views

How can I use two different datasets as a training model for svm

I know that you're supposed to scale your test data using the parameters (mean and stdev) from your training data. This is relatively simple; but what if the number of samples is limited in one ...
Jane's user avatar
  • 51
1 vote
1 answer
418 views

Tuning svm and cart hyperparameters

I am trying to optimize the hyperparameters of SVM and CART with tune() function of e1071 R package, but I have a doubt. Should I tune the parameters on the training data, fit the model on the ...
schrodingercat's user avatar
1 vote
0 answers
742 views

How to make a hybrid ARIMA and SVMs model in R

I want to combine 2 awesome models for data prediction / forecast - an ARIMA and an SVMs model, and thus I want to reduce standard error for the hybrid model. Currently, here's a graph showing them in ...
Fawwaz Yusran's user avatar
3 votes
2 answers
2k views

XGBoost Classification Probabilities higher than RF or SVM?

I am using Random Forests, XGBoost and SVMs to classify whether the home team wins or the away team wins their bowl game (in college football). I trained the models on all the games during the season. ...
msubbaiah's user avatar
  • 133
0 votes
1 answer
77 views

In R, can I integrate different classifying algorithms in one bagging model?

I use R to do data analysis. I have a dataset. When I use different classifying algorithms, such as random forest, SVM, etc, I have the different accuracy. So, I want to integrate all the algorithms ...
Feng Chen's user avatar
  • 207
6 votes
2 answers
1k views

Classifying survey response text SVM

I have 800 responses to an open-ended survey question. Each response is categorized into 3 categories based on a list of 70 categories. These categories are things like "stronger leadership", "better ...
econstat's user avatar
1 vote
0 answers
211 views

Huge discrepancies in Logistic Regression and SVM using HOG features to identify an Object

I am doing some research on Logistic regression and SVM using different parameters using HOG features. I am facing a bit of problem while understanding each classifier with combination of different ...
Sam's user avatar
  • 111
3 votes
3 answers
8k views

Visualizing Support Vector Machines (SVM) with Multiple Explanatory Variables

I was wondering if anyone was aware of any methods for visualizing an SVM model where there are more than three continuous explanatory variables. In my particular situation, my response variable is ...
k6adams's user avatar
  • 158
2 votes
3 answers
1k views

Choosing the right data mining method to find the effect of each parameter over the target

I am dealing with a lot of categorical data right now and I would like to use an appropriate data mining method in any tool [preferably R] to find the effect of each parameter [categorical parameters] ...
SRS's user avatar
  • 1,065