21 questions
An error occurred when sklearn tried to fit the decision tree algorithm by separating the training data from the test data.I don't know how to solve it, so please point it out if you like.import numpy...
I'm a beginner at Python and I'm doing epidemiological research using machine learning, but I don't know if it's the right way to proceed.Currently, I am having trouble adjusting hyperparameters.If yo...
Using SVM's regressoar, we are trying to conduct an assessment analysis of financial markets.After coding with reference to the text, the last line plot_confusion_matrix, plot_roc_curve failed to proc...
Using SVM's regressoar, we are trying to conduct an assessment analysis of financial markets.After coding with reference to the text, the last line plot_confusion_matrix, plot_roc_curve failed to proc...
What is the difference between a library and a framework?When I was studying for the G test NumPyscikit-learnappeared in both the library description and the framework description.Do both happen to sp...
I'm doing a competition problem with Python that predicts a certain number.We took only the available feature quantities from the given training data and similarly took the same feature quantities fro...
I'm thinking of using the average difference when I select feature quantities for clustering.I believe that if we select the characteristic amount of the attributes with the larger average difference ...
Python, I'm a beginner in machine learning in about a week.I'm sorry it's a very rudimentary question, but I'd appreciate it if you could help me.I'm thinking of doing logistic regression analysis usi...
I tried to use grid search code for sklearn's random forest as below. If n_jobs is -1, it will be calculated in parallel with the best number of cores, so I did so. If n_jobs=1, it will take a few sec...
There is a program that uses SURF to extract feature quantities from jpg image files in a directory, group all SURFs using the k-means method to find visual word, and use it to make a list of local fe...
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