Decision rules from the trained DT model for marijuana.

<p>Learned decision tree from the trained DT model that returns the highest AUROC and AUPR for predicting how likely a PWUD would use marijuana within the next 12 months.</p> <p>(PDF)</p>

Publication Details

Journal
Figshare
Published
2024-11-27
DOI
https://doi.org/10.1371/journal.pone.0312046.s004
Primary Topic
Plant Taxonomy and Phylogenetics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Decision rules from the trained DT model for marijuana.

Figshare
Plant Taxonomy and Phylogenetics
article

Decision rules from the trained DT model for marijuana.

article en

Abstract

<p>Learned decision tree from the trained DT model that returns the highest AUROC and AUPR for predicting how likely a PWUD would use marijuana within the next 12 months.</p> <p>(PDF)</p>

Figshare
Openalex Percentile: Top 44%
Plant Taxonomy and Phylogenetics
DOISourceOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Decision rules from the trained DT model for marijuana. · Figshare (2024) | TGRS Research Map | TGRS