Questions tagged [scikit-learn]
scikit-learn is a popular machine learning package for Python that has simple and efficient tools for predictive data analysis. Topics include classification, regression, clustering, dimensionality reduction, model selection, and preprocessing.
2,303 questions
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Low Accurecy from Geospatial Random forest ML modeling problem - Training Exported from qGIS, SCP
I am doing a geospatial assessment integrated with ML modeling. The problem is the very low accuracy percentage, as more training features increases, it gets lower. What could be he solution to such a ...
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Isolation Forest sample size
I am using sklearn's Isolation Forest as a model to detect anomalies. My dataset is relatively small, 50 records with only 2-3 features. To prevent any overfitting, what would you recommend to tune ...
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4votes
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Trying to train ML model to do regression for US Department of Transportation Kaggle Flights Dataset with 5 million records and 7 features
For a college project for my data science course I am trying to fit a model based on the U.S. DOT's 2015 Kaggle Flight Cancellations dataset, but am not having great luck with model performance (MSE ...
- 141
4votes
1answer
54views
Unsupervised Isolation Forrest sklearn hyperparameters
I am using sklearn's IsolationForest for unsupervised anomaly detection task. According to the docs, https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html, there are ...
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3votes
1answer
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Confirm understanding of decision_function in Isolation Forest sklearn
I am looking to better understand sklearn IsolationForest decision_function. My understanding is that if the metric is closer to -1 then the model is more confident ...
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1vote
0answers
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How to correctly use RFECV for feature selection in a Scikit-Learn pipeline with a Simple Decision Tree?
I am working on the Kaggle House Price Prediction competition and have built a Scikit-Learn pipeline that includes: Preprocessing (handling missing values, scaling, encoding) Feature Engineering ...
-1votes
0answers
37views
ML model for Career Prediction
I am NOT able to figure out how to make a ML model. I have been chatgpting most of it and understanding the code, I'm doing next to nothing. No matter what code I input, the accuracy is always 0%... ...
2votes
0answers
20views
Preprocessing multivalue attributes in a dataframe, similar to Nominal
Description: Input is a CSV file CSV file contains columns of different data types: Ordinal Values, Nominal Values, Numerical Values and Multi Value For the multivalue columns. Minimum is 1, ...
1vote
0answers
32views
Predicting PGA Tour results with Linear Regression
I have curated a dataset from various online sources that contains information about each PGA player's weekly performance/trends. I'm attempting to predict their finishing positions at the next ...
2votes
0answers
36views
Determine best hyperprameteres in GridSearch - Isolation Forest
I have implemented an Isolation Forest algorithm for anomaly detection (unsupervised learning), where I divided my dataset into 1000 subsets, and for each subset, there is one isolation tree. This ...
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2votes
1answer
44views
I can't get my R² above 70%
I tried RandomForest, LGBM, Knneighbors, Polynomial Regression as algorithm's and cross-validation, train test split and standard scaler, nothing seem's to get it past the 70% mark. The dataframe has ...
0votes
0answers
25views
Agglomerative clustering classifies 98% of my data in 1 cluster. Why?
I have a JSD distance matrix that I'm trying to cluster. When generating 24 clusters (roughly the amount the shows up on the clustermap), it assigns vast majority of the data as 1 cluster. Weirdly ...
- 113
1vote
0answers
40views
OneClassSVM super slow training with poly kernel
In contrast to questions like here, where a slow SVM training results from a high number of samples, I only have around 500 samples. Still, a single training fold (cross-validation) takes several ...
3votes
1answer
31views
Looking to replace missing time series values with values from a competitor that's correlated
I have a dataset of a retailer that has the following attributes Date, Hour, Enters, Exits I have another dataset with the same attributes of a competitor that is correlated with the original dataset ...
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1vote
1answer
35views
scipy bootstrap generates input with inconsistent numbers of samples
I have a dataset of 77 samples, and I am using scipy bootstrap to get a confidence interval to estimate the precision. I am baffled to see that it generates input variables with inconsistent numbers ...
