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I am loading Linear SVM model and then predicting new data using the stored trained SVM Model. I used TFIDF while training such as: **when i apply ...

I am training my SVC model and I am getting this error with the Shap Library. Have tried some methods including shap.maskers.Independent but the same ...

I am working on predicting seizure epilepsy using CNN. I have 2 classes in my dataset. I want to use CNN model as a feature extractor, then I want to ...

I have create this Support Vector machine model but I get errors in "Fit the PCA transformer on the training data and transform the data line" and "mo ...

I'm new to artificial intelligence. I'm working with the SVM algorithm and ran this Python script to train/predict if an email is spam or not. The scr ...

I trt to train a pre-designed SVM with RBF kernel. I want to fix the C and gamma value before train. I use But after training, the C(BoxConstraint) ...

I'm testing hyperparameters for an SVM, however, when I resort to Gridsearch or RandomizedSearchCV, I haven't been able to get a resolution, because t ...

This is my code to find outliers. I would like to plot a continuous contour line over no outliers. What I'm getting is two isolated contour lines. So, ...

I have a code that helps checking if a mail is ham or spam,I can get the accuracy in general, but I want to know the percentage of ham and spam that w ...

I am training csv file with sklearn using DecesionTreeClassifier, RandomForestClassifier and SVC. when i run it all of them give me the warning says ...

I have an SVM model that I trained (SVC(class_weight='balanced')). I use predict_proba() to get probabilities to compute ROC AUC and predict() to get ...

I am working on a school project to make a facial recognition program using Python. I am using the face_recognition and scikit-learn libraries. Howeve ...

I'm not able to get the support vectors out of a OneVsRest or OneVsOne Classifier in Python. The code looks like this but the classifiers don't seem ...

I am trying to build a SVM model using the caret package. After tuning the parameters, how can we build the model using the optimal parameters so we d ...

I split my data into training, valuation, test. I used the validation set in GridSearch to get best parameter C. Then I used training set as SVM_mod ...

I started training my image dataset which consists of 18 classes (The dataset is a collection of compound facial emotions) and each class consists a m ...

I already installed the prerequisite to use Tensorflow running on my GPU. I already tested it by executing this block of codes: The block of code d ...

I am trying to implement a machine learning algorithm which detects irregular ecg signals. I extracted some features, but I am not sure how to manage ...

I am trying to detect anomaly data from dataset with OneClassSVM. I have not input labels and Input dataset haven't any label. how I calculate accura ...