scikit
Datasets
All datasets matching “scikit”iris
Iris Species Dataset
The Iris dataset was used in R.A. Fisher's classic 1936 paper, The Use of Multiple Measurements in Taxonomic Problems, and can also be found on the UCI Machine Learning Repository.
It includes three iris species with 50 samples each as well as some properties about each flower. One flower species is linearly separable from the other two, but the other two are not linearly separable from each other.
The dataset is taken from UCI Machine Learning Repository's… See the full description on the dataset page: https://huggingface.co/datasets/scikit-learn/iris.churn-predictionCustomer churn prediction dataset of a fictional telecommunication company made by IBM Sample Datasets.
Context
Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs.
Content
Each row represents a customer, each column contains customer’s attributes described on the column metadata.
The data set includes information about:
Customers who left within the last month: the column is called Churn
Services that each customer… See the full description on the dataset page: https://huggingface.co/datasets/scikit-learn/churn-prediction.adult-census-income
Adult Census Income Dataset
The following was retrieved from UCI machine learning repository.
This data was extracted from the 1994 Census bureau database by Ronny Kohavi and Barry Becker (Data Mining and Visualization, Silicon Graphics). A set of reasonably clean records was extracted using the following conditions: ((AAGE>16) && (AGI>100) && (AFNLWGT>1) && (HRSWK>0)). The prediction task is to determine whether a person makes over $50K a year.
Description of fnlwgt (final weight)… See the full description on the dataset page: https://huggingface.co/datasets/scikit-learn/adult-census-income.MoleculeNet_PCBA
MoleculeNet PCBA
PCBA (PubChem BioAssay) dataset [1], part of MoleculeNet [2] benchmark. It is intended to be used through
scikit-fingerprints library.
The task is to predict biological activity against 128 bioassays, generated by high-throughput screening (HTS). All tasks are binary active/non-active.
Note that targets have missing values. Algorithms should be evaluated only on present labels. For training data, you may want to impute them, e.g. with zeros.
Characteristic… See the full description on the dataset page: https://huggingface.co/datasets/scikit-fingerprints/MoleculeNet_PCBA.MoleculeNet_BACE
MoleculeNet BACE
BACE dataset [1], part of MoleculeNet [2] benchmark. It is intended to be used through
scikit-fingerprints library.
The task is to predict binding results for a set of inhibitors of humanβ-secretase 1 (BACE-1).
Characteristic
Description
Tasks
1
Task type
classification
Total samples
1513
Recommended split
scaffold
Recommended metricAUROC
References
[1]
Govindan Subramanian et al.
"Computational Modeling of β-Secretase 1 (BACE-1)… See the full description on the dataset page: https://huggingface.co/datasets/scikit-fingerprints/MoleculeNet_BACE.MoleculeNet_Tox21
MoleculeNet Tox21
Tox21 dataset [1], part of MoleculeNet [2] benchmark. It is intended to be used through
scikit-fingerprints library.
The task is to predict 12 toxicity targets, including nuclear receptors and stress response pathways. All tasks are binary.
Note that targets have missing values. Algorithms should be evaluated only on present labels. For training data, you may want to impute them, e.g. with zeros.
Characteristic
Description
Tasks
12
Task type
multitask… See the full description on the dataset page: https://huggingface.co/datasets/scikit-fingerprints/MoleculeNet_Tox21.