I have the following data: Group_ID Item_id Target 0 1 1 0 1 1 2 0 2 1 3 1 3 2 4 0 4 2 5 1 5 2 6 1 6 3 7 0 7 4 8 0 8 5 9 0 9 5 10 1 I need to split the dataset into a training and testing set bas...

Not sure how to fix . Any help much appreciate. I saw thi Vectorization: Not a valid collection but not sure if i understood this train = df1.iloc[:,[4,6]] target =df1.iloc[:,[0]] def train(class...

I'm trying to split my dataset into a training and a test set by using the train_test_split function from scikit-learn, but I'm getting this error: In [1]: y.iloc[:,0].value_counts() Out[1]: M2 3...

So I have a main folder which contains sub-folders which in turn contains images for the dataset as follows. -main_db ---CLASS_1 -----img_1 -----img_2 -----img_3 -----img_4 ---CLASS_2 -----...

I have a single directory which contains sub-folders (according to labels) of images. I want to split this data into train and test set while using ImageDataGenerator in Keras. Although model.fit()...

I want to separate my data into train and test set, should I apply normalization over data before or after the split? Does it make any difference while building predictive model?

is there any way to set seed on train_test_split on python sklearn. I have set the parameter random_state to an integer, but I still can not reproduce the result. Thanks in advance.

I am using datatable dataframe. How can I split the dataframe into train and test dataset? Similarly to pandas dataframe, I tried to use train_test_split(dt_df,classes) from sklearn.model_selection...

I am following the IRIS example of tensorflow. My case now is I have all data in a single CSV file, not separated, and I want to apply k-fold cross validation on that data. I have data_set = tf...

On a jupyter notebook with Tensorflow-2.0.0, a train-validation-test split of 80-10-10 was performed in this way: import tensorflow_datasets as tfds from os import getcwd splits = tfds.Split.ALL.su...

I am trying to split the dataset into train and test subsets in Julia. So far, I have tried using MLDataUtils.jl package for this operation, however, the results are not up to the expectations. Bel...

I know that train_test_split splits it randomly, but I need to know how to split it based on time. X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=42) # th...

I have a dataset like this my_data= [['Manchester', '23', '80', 'CM', 'Manchester', '22', '79', 'RM', 'Manchester', '19', '76', 'LB'], ['Benfica', '26', '77', 'CF', 'Benfica', '22', '74',...

I am curious if there is something similar to sklearn's http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html for apache-spark in the latest 2.0.1 rel...

I have a data file with following columns 'customer', 'calibrat' - Calibration sample = 1; Validation sample = 0; 'churn', 'churndep', 'revenue', 'mou', Data file contains some 40000 rows out ...

I am training an NER model using the python -m spacy train command line tool. I use gold.docs_to_json to convert my annotated documents to the JSON-serializable format. The command line training t...

I am trying to create a machine learning model using DecisionTreeClassifier. To train & test my data I imported train_test_split method from scikit learn. But I can not understand one of its ar...

I am using this excellent article to learn Machine learning. https://stackabuse.com/python-for-nlp-multi-label-text-classification-with-keras/ The author has tokenized the X and y data after spli...

Actually, there is a contradiction of 2 facts that are the possible answers to the question: The conventional answer is to do it after splitting as there can be information leakage, if done befor...

I'm working on a classification problem and I've split my data into train and test set. I have few categorical columns (around 4 -6) and I am thinking of using pd.get_dummies to convert my ...

There is already a description here of how to do stratified train/test split in scikit via train_test_split (Stratified Train/Test-split in scikit-learn) and a description of how to random train/va...

Before I lodge this question, I have to say I've thoroughly read more than 15 similar topics on this board, each with somehow different recommendations, but all of them just could not get me right....

I am at the moment trying make a setup script, capable of setting up a workspace up for me, such that I don't need to do it manually. I started doing this in bash, but quickly realized that would ...