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2 votes
0 answers
64 views

I am trying to create a Streamlit application that predicts hypertension risk based on patient input data using the MLP (Multilayer Perceptron) model I trained. Below is my Keras model code: from ...
0 votes
0 answers
59 views

I am dealing with a highly imbalanced multi-class classification problem, and came across the focal loss function on tensorflow, after implementing it, I still see a high initial loss of ~4000-5000. I ...
0 votes
0 answers
15 views

Attack classification with FedBN algorithm, but normalization is causing difference in weight set. ValueError: You called `set_weights(weights)` on layer "model_1" with a weight list of ...
0 votes
0 answers
80 views

I am training a model for multi label classification task for each class I have multiple labels after running the test i got 100% for both classes I used 150 000 images for training and validation and ...
1 vote
0 answers
112 views

I have the following dataframe which records the IQ, Hours (number of hours of studying) and Score (past exam score for student 1,2,3,4 in different classes (Class_ID) and I would like to use these ...
0 votes
1 answer
124 views

I have a OneVsOne model running fine with textual feature and target fields. To progress to a multi-class model (i.e. with multiple textual feature fields), I believe OneVsRest with Logistic ...
0 votes
1 answer
174 views

I’m working on a multilabel classification task with 14 different disease classes. I’ve trained my model, and I want to generate a single multilabel confusion matrix where both the x-axis and y-axis ...
0 votes
1 answer
257 views

Is there a standard/efficient way in Pytorch to handle cross-entropy loss for a classification problem where the number of classes depends on the sample? Example: In a batch of size 3, I have: logits1 ...
0 votes
0 answers
180 views

I have a small dataset with 816 rows and 8 numerical features. The target variable is categorical, with 4 different categories. I trained a XGB model on the dataset and after that I try to use SHAP ...
0 votes
2 answers
314 views

I have this multiclass confusion matrix of Asian currencies and this is the first time I've gotten something like this and it's giving me a hard time to interpret it and also identifying the TP, TN, ...
1 vote
1 answer
76 views

I've been doing some modeling of fantasy points for baseball players as a hobby. For a given team in a given game, there are nine (9) starting batters who bat in order. I've trained each of their ...
0 votes
0 answers
115 views

I have a dataset where some objects (15%) belong to different classes and have a property value for each of those classes. How can I make a model that predicts multi-label or multi-class and then make ...
1 vote
0 answers
98 views

My code receives a dataset and runs a classification on it with lightgbm. The problem is when I try to do fine-tuning with sklearn's cross_val_score, the target column contains categorical values, not ...
-1 votes
1 answer
70 views

I am given binary data points of dimension 5,000. I am asked to perform machine learning predicting a binary vector of length 1k, where each position of the output is a class. The classes are not ...
0 votes
1 answer
99 views

I was wondering if hierarchical classifications are supported by the sciki-learn library. I am dealing with the 3 classes divided by 6 subclasses each, such as: import numpy as np from sklearn.tree ...

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