Stack Overflow
Stack Overflow

Questions tagged [c5.0]

37 questions
3
votes
1 answer

How do I extract the classification tree from this parsnip model in R?

I am working through 'Machine Learning & R Expert techniques for predictive modeling' by Brett Lantz. I am using the tidymodels suite as I try the example modeling exercises in R. I am working through chapter 5 in which you build a decision tree…
for_the_love_of_cod
  • 47
  • 5
3
votes
1 answer

Error: *** line 1 of `undefined.cases': bad value of ... for attribute

I'm training a decision tree, C5.0, and everything runs just fine until I try to predict values in the test dataset. I am not sure what the error means: library(pacman) p_load(tidyverse, NHANES, C50) rows <- sample(nrow(NHANES), as.integer(0.75 *…
ThrmsNPrfs
  • 55
  • 1
  • 9
2
votes
1 answer

How to plot a tree produced by C5.0 in tidymodels?

Why in the following short reprex I get an error for plotting a C5.0 tree when using tidymodels and I don't get same error when using C5.0 package directly ? I used the same C50 parameters in both cases. I tried to find documentation about this but…
Marc Kees
  • 206
  • 2
  • 15
2
votes
1 answer

How to plot final c50 decision tree model (library C50) from caret::train object

I trained Decision Tree model using train function from caret library: gr = expand.grid(trials = c(1, 10, 20), model = c("tree", "rules"), winnow = c(TRUE, FALSE)) dt = train(y ~ ., data = train, method = "C5.0", trControl = trainControl(method =…
Helios
  • 141
  • 1
  • 2
  • 10
1
vote
1 answer

what's wrong with this small decision tree using C5.0?

I'm trying to make simple decision tree using C5.0 in R. data has 3 columns(including target data) and 14 rows. This is my 'jogging' data. target variable is 'CLASSIFICATION' WEATHER JOGGED_YESTERDAY CLASSIFICATION C N …
kang yep sng
  • 73
  • 4
1
vote
2 answers

C5_rules() in Tidymodels

I would like to use tidymodels to fit a C5.0 rule-based classification model. I have specified the model as follows c5_spec <- C5_rules() %>% set_engine("C5.0") %>% set_mode("classification") In the documentation for the C5_rules()…
cyn
  • 11
  • 1
1
vote
1 answer

C5.0 package: Error in paste(apply(x, 1, paste, collapse = ","), collapse = "\n") : result would exceed 2^31-1 bytes

When trying to train a model with a dataset of around 3 million rows and 600 columns using the C5.0 CRAN package I get the following error: Error in paste(apply(x, 1, paste, collapse = ","), collapse = "\n") : result would exceed 2^31-1 bytes From…
Sara Sanz
  • 51
  • 3
1
vote
0 answers

Error using R caret package (train) with C5.0 decision tree to do K-fold cross validation

NOW SOLVED. The problem was data=OneT.train, which was wrong. This code was copied over from the original. It needs to be data=OneT in the caret train() function. The current OneT.train had missing values in an attribute field, not the target, from…
user13248694
1
vote
1 answer

How to get the actual class and the prediction class for all data in R?

I create the model and do the predicition with this script in R, model = C5.0(dataset1[1:100, -7], dataset1[1:100, 7]) if I run summary(model), the output is just confusion matrix and the decision tree. Then, how to know the all prediction result…
ferdianm10
  • 55
  • 4
1
vote
0 answers

Strange results for attribute usage in Decision Tree with caret

I want to know what variables are important in my decision tree model. I got the model by using train() of caret package. But the results for attribute usage are strange for fator variables. Below is my code. set.seed(123) ctrl <-…
Amy
  • 83
  • 1
  • 10
0
votes
0 answers

Caret C5.0 warnings

I wonder if something is going on with my syntax or with caret here? I'm using the caret package in R Version 4.2.3 to build a boosted tree model using C5.0. I'm consistently getting the same type of warnings: I originally thought that this was…
Dan
  • 133
  • 7
0
votes
0 answers

Path followed by a model C5.0 in R

I would like to know which is the path that a prediction has followed in a model C5.0 in R. For instance, if the dataset has 4 variables, the aim of the code is to obtain which of these four variables have been checked by the tree in order to…
SERVATO 02
  • 1
  • 1
0
votes
0 answers

decision tree fail when adding error cost in c5.0

I get this error only when adding error matrix to the formula: Call: C5.0.default(x = heart_train, y = heart_train_results, trials = 1, costs = error_cost) C5.0 [Release 2.07 GPL Edition] Sat Mar 4 17:43:23 2023 Class specified by attribute…
zachi
  • 511
  • 4
  • 13
0
votes
0 answers

Error message by plotting Tree (C5.0 function) : "Error in str2lang(x) : :1:5: unexpected input 1: y ~ 0x ^"

I am looking for the solution to plot my tree, here you can see my code and the error in the tittle. I try to do clustering by C5.0 package set.seed(1236) #Training set (70%)/validation set (30%) #Sous-groupe emphasis subset_data <-…
Manon F
  • 1
0
votes
1 answer

How to convert all numeric columns to intervals in R

I have a dataframe from 840 columns that I read from a .sav file. I convert all columns to factors using data <- haven::as_factor(data) This is an example, data just after read the file and without convert to…
Obada Jaras
  • 59
  • 9
1
2 3