I have a binary classification problem. I’ve been using cross validation to optimize the ElasticNet parameters. However ElasticNet only seems to work when I supply roc_auc as the scoring method to be used during CV, However I also want to test out a wide range of scoring methods, in particular accuracy.…
Tag: classification
How to visualize Classification using pandas and matplotlib?
I’m trying to classify a dataset using python with pandas. The iris flower dataset consists of 50 samples from each of three species of Iris and contains four features.The goal is to distiguish between the species of irises based on these features. Question: Generate a scatter plot with sepal_length fea…
Does my learning curves show overfitting? [closed]
Closed. This question is not about programming or software development. It is not currently accepting answers. This question does not appear to be about a specific programming problem, a software algorithm, or software tools primarily used by programmers. If you believe the question would be on-topic on anoth…
Python : y should be a 1d array, got an array of shape {} instead. format(shape)
The above is my code which I tried in Google Colab. But here it shows one error : This is error is shown in the line Please help me to solve this error. I am a beginner so answer the question with elaboration Answer Your problem is that the outputs of train_test_split are ordered differently than you think. t…
How can we make a prediction using Scikit-Learn Classifiers?
I can easily train and test a classifier using the code below. Now, how can I make a prediction of the target variable (dependent variable) based on the independent variables? Something like this should work, I think, but it doesn’t… If we leave numerics as numerics, and put quotes around labels, …
RuntimeError: Found dtype Char but expected Float
I am using PyTorch in my program(Binary Classification). The output from my model and actual labels are When I calculate the Binary Cross Entropy, it gives me the error I have no idea how it is finding the Char dtype. Even If calculate it manually, it gives me this error. My DataLoader is my training loop is …
SHAP Linear model waterfall with KernelExplainer and LinearExplainer
I am working on binary classification and trying to explain my model using SHAP framework. I am using logistic regression algorithm. I would like to explain this model using both KernelExplainer and LinearExplainer. So, I tried the below code from SO here This threw an error as shown below AssertionError: Unk…
How to add a traditional classifier(SVM) to my CNN model
here’s my model i want to make svm classifier as my final classifier in this model so how can i do that? also another question i want to know the predicted class of a certain input so when i use it only gives me probabilities so how can i solve that too Answer You can use neural network as feature
Training, Validation and Test sets for imbalanced datasets in Machine Learning
I am working on an NLP task for a classification problem. My dataset is imbalanced and some authors have only 1 text, and thus I want to have this text only in the training set. As for the other authors I need to split the dataset into 70% training set, 15% validation set and 15% test set. I tried to
Python Tensorflow Shape Mismatch (WaveNet)
I was trying to run a WaveNet, which is specified in https://github.com/mjpyeon/wavenet-classifier/blob/master/WaveNetClassifier.py. Part of my code is as follows: Here, self.input_shape=X_train.shape and self.output_shape=(11,) It successfully printed out the model’s summary, but was outputting the fol…