I am building a multiclass model with Keras. model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy']) model.fit(X_…
python keras scikit-learn multiclass-classificationI'm doing different text classification experiments. Now I need to calculate the AUC-ROC for each task. For the binary classifications, …
python scikit-learn text-classification roc multiclass-classificationI am trying to model a classifier for a multi-class Classification problem (3 Classes) using LightGBM in Python. I used the …
python machine-learning predict multiclass-classification lightgbmHow do you compute the true- and false- positive rates of a multi-class classification problem? Say, y_true = [1, -1, 0, 0, 1, -1, 1, 0, …
python scikit-learn confusion-matrix multiclass-classificationCan someone please explain (with example maybe) what is the difference between OneVsRestClassifier and MultiOutputClassifier in scikit-learn? I've read documentation …
python scikit-learn classification multilabel-classification multiclass-classificationI am using Keras with the scikit-learn wrapper. In particular, I want to use GridSearchCV for hyper-parameters optimisation. This is …
scikit-learn keras grid-search one-hot-encoding multiclass-classificationI'm working on a multiclass classification problem using Keras and I'm using binary accuracy and categorical accuracy as metrics. When …
machine-learning tensorflow keras classification multiclass-classificationI'm trying to know which loss function uses XGBoost for multi-class classification. I found in this question the loss function …
xgboost multiclass-classificationI am doing multiclass/multilabel text classification. I trying to get rid of the "ConvergenceWarning". When I tuned the max_…
python logistic-regression cross-validation multiclass-classification