i'm trying to predict next customer purchase to my job. I followed a guide, but when i tried to use cross_val_score() function, it returns NaN values.Google Colab notebook screenshot Variables: ...

I would like to get a confidence score of each of the predictions that it makes, showing on how sure the classifier is on its prediction that it is correct. I want something like this: How sure ...

I am building a prediction model in python with two separate training and testing sets. The training data contains numerical type categorical variable, e.g., zip code,[91521,23151,12355, ...], and ...

Keras introduced tf.keras.preprocessing.image_dataset_from_directory function recently, which is more efficient than previously ImageDataGenerator.flow_from_directory method in tensorflow 2.x. I a...

I have the following codes for creating a tidymodels workflow with lightgbm model. However, there is some problem when I tried to save into a .rds object and predict library(AmesHousing) library(tr...

I am working on an automated ML (Regression) algorithm where the flow of process is: User uploads a data -- Data Cleaning -- Encoding(Target Encoder) -- Fitting model -- results. I am completely fi...

I performed a regression analyses in R on some dataset and try to predict the contribution of each individual independent variable on the dependent variable for each row in the dataset. So somethi...

I'm using Pydantic model (Basemodel) with FastAPI and converting the input into a dictionary, and then converting it into a Pandas DataFrame to pass it into model.predict() function for Machine Lea...

I have a .pth file created with Pytorch with weights. How would I be able to view the weights from this file? I tried this code to load and view but it was not working (as a newbie, I might be enti...

I'm new to Weka and I'm confused with the tool. I have a data set about fruit prices and related attributes. I'm trying to predict the specific fruit price using the data set. Since I'm new to Weka...

I am receiving the error: ValueError: Wrong number of items passed 3, placement implies 1, and I am struggling to figure out where, and how I may begin addressing the problem. I don't really under...

I'm using linear_model.LinearRegression from scikit-learn as a predictive model. It works and it's perfect. I have a problem to evaluate the predicted results using the accuracy_score metric. This ...

I'm working on a binary classification problem. I had this situation that I used the logistic regression and support vector machine model imported from sklearn. These two models were fit with the s...

I am working with the R programming language. Recently, I read about a new decision tree algorithm called "Reinforcement Learning Trees" (RLT) which supposedly has the potential to fit &q...

dataset = read.csv('dataset/housing.header.binary.txt') dataset1 = dataset[6] #higest positive correlation dataset2 = dataset[13] #lowest negative correlation dependentVal= dataset[14] #dependent v...

I'm trying to predict on the validation data with pre-trained and fine-tuned DL models. The code follows the example available in the Keras blog on "building image classification models using very ...

I'm tring to use neuralnet for prediction. Create some X: x <- cbind(seq(1, 50, 1), seq(51, 100, 1)) Create Y: y <- x[,1]*x[,2] Give them a names colnames(x) <- c('x1', 'x2') names...

Some modeling functions, e.g. glmnet(), require (or just allow for) the data to be passed in as a predictor matrix and a response matrix (or vector) as apposed to using a formula. In these cases, i...

I am using a multiple output model in Keras model1 = Model(input=x, output=[y2, y3]) model1.compile((optimizer='sgd', loss=cutom_loss_function) my custom_loss function is def custom_loss(y_tru...

First of all, I must say, I'm a beginner to this AI things. I followed most of the tutorials about stock market predictions and all of them are pretty much same. These tutorials using a data set an...

I found peculiarity while using predict and lm function in R. I got different results for data frame and vector for same data. DataFrame code: data(mtcars) fitCar<-lm(mtcars$mpg~mtcars$wt) pr...

I successfully trained a model using Object Detection APIs for TF 2 on TPUs which is saved as a .pb (SavedModel format). I then load it back using tf.saved_model.load and it works fine when predict...

I am currently working on a predictive model for a churn problem. Whenever I try to run the following model, I get this error: At least one of the class levels is not a valid R variable name. This...

I am trying to make and test a linear model as follows: lm_model <- lm(Purchase ~., data = train) lm_prediction <- predict(lm_model, test) This results in the following error, statin...

I have 3 months of data (each row corresponding to each day) generated and I want to perform a multivariate time series analysis for the same : the columns that are available are - Date Capacit...