I am working on a binary classification problem using Random forest and using LIME explainer to explain the predictions. I used the below code to generate LIME explanations import lime import lime....

I have a classification problem and I would like to test all the available algorithms to test their performance in tackling the problem. If you know any classification algorithm other than th...

When performing classification (for example, logistic regression) with an imbalanced dataset (e.g., fraud detection), is it best to scale/zscore/standardize the features before over-sampling the mi...

I Can calculate accuracy after each epoch using this code . But, I want to calculate the accuracy for each class at the end . how can i do that? I have two folders train and val . each folder has 7...

Analysing time series data of bike trails, I would like to know the time interval for each plateau ,ascent and descent.Sample csv file is uploaded here. import pandas as pd import numpy as np impo...

I have a dataset Inp1 Inp2 Output A,B,C AI,UI,JI Animals L,M,N LI,DO,LI Noun X,Y AI,UI Extras For these values, I need to apply a ML algorithm. Which algorithm would be best suited to find relatio...

Given a set of data very similar to the Motley Fool CAPS system, where individual users enter BUY and SELL recommendations on various equities. What I would like to do is show each recommendation a...

I have a time-series dataset with two lables (0 and 1). I am using Dynamic Time Warping (DTW) as a similarity measure for classification using k-nearest neighbour (kNN) as described in these two wo...

I am using an rpart classifier in R. The question is - I would want to test the trained classifier on a test data. This is fine - I can use the predict.rpart function. But I also want to calculate...

After preprocessing my data, like missing value replacement and outlier detection I partitioned my data using randomized and remove percentage filter using WEKA. My dataset is a highly skewed datas...

i'm trying to run a very simple example where XGBoost takes some data and do a binary classification. The documentation says that xgboost outputs the probabilities when "binary:logistic" is used ...

For a particular prediction problem, I observed that a certain variable ranks high in the XGBoost feature importance that gets generated (on the basis of Gain) while it ranks quite low in the SHAP ...

Attached model shows how to add bias in case of the unbalanced classification problem initial_bias = np.log([pos/neg]). Is there a way to add bias if you have multi-class classification with unbala...

question 1) The answer to this question suggested that for a binary classification problem I could use num_labels as 1 (positive or not) or 2 (positive and negative). Is there any guideline regardi...

Does any one know how to set parameter of alpha when doing naive bayes classification? E.g. I used bag of words firstly to build the feature matrix and each cell of matrix is counts of words, and ...

I imported sklearn DecisionBoundaryDisplay via the below command in my Google Colab file. from sklearn.inspection import DecisionBoundaryDisplay And I'm getting the following error. ImportError: ...

I'm attempting to make a classifier that chooses a rating (1-5) for a item i. For each item i, I have a vector x containing about 40 different quantities pertaining to i. I also have a gold standar...

I usually get to feature importance using regr = XGBClassifier() regr.fit(X, y) regr.feature_importances_ where type(regr) is . However, I have a pickled mXGBoost model, which when unpacked ret...

I am new to pyTorch and I am trying to Create a Classifier where I have around 10 kinds of Images Folder Dataset, for this task I am using Pretrained model( MobileNet_v2 ) but the problem is I am n...

Can someone please explain (with example maybe) what is the difference between OneVsRestClassifier and MultiOutputClassifier in scikit-learn? I've read documentation and I've understood that we u...

I am using FastAPI to create an API that receives small audio files from a mobile app. In this API I do processing of the signal and I am able to return a response after classifying that sound. The...

I am fine tuning longformer and then making prediction using TextClassificationPipeline and model(**inputs) methods. I am not sure why I get different results import pandas as pd import datasets fr...

I am working on a binary classification using random forest and trying out SHAP to explain the model predictions. However, I would like to convert the SHAP local explanation plots with values into ...

I tried to read the docs for RepeatedStratifiedKFold and StratifiedKFold, but couldn't tell the difference between the two methods except that RepeatedStratifiedKFold repeats StratifiedKFold n time...

According to the documentation it is possible to specify different loss functions to SGDClassifier. And as far as I understand log loss is a cross-entropy loss function which theoretically can hand...