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Part 1: Document Description
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Citation |
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Title: |
Baldim, et al. 2025 - Dataset |
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Identification Number: |
doi:10.7910/DVN/WCV1FZ |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2023-02-17 |
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Version: |
3 |
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Bibliographic Citation: |
Baldim, João, 2023, "Baldim, et al. 2025 - Dataset", https://doi.org/10.7910/DVN/WCV1FZ, Harvard Dataverse, V3 |
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Citation |
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Title: |
Baldim, et al. 2025 - Dataset |
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Identification Number: |
doi:10.7910/DVN/WCV1FZ |
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Authoring Entity: |
Baldim, João (UFABC) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Baldim, João |
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Depositor: |
Baldim, João |
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Date of Deposit: |
2023-02-17 |
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Holdings Information: |
https://doi.org/10.7910/DVN/WCV1FZ |
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Study Scope |
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Keywords: |
Chemistry, T, cruzi |
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Abstract: |
Dataset for Baldim, et. al. 2025 |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Label: |
Dataset for Prediction (Baldim, et al. 2025) (RAW - without optimizations)-1.arff |
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Text: |
This is the raw dataset without optimizations and tunning. Please, follow the steps in the section material and methods, and in the discussion section in order to retrieve the methodology and achieve validation values and predictive power in the software Weka. |
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Notes: |
application/octet-stream |