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1,011 to 1,018 of 1,018 Results
results_table_2021from_occ_1983_1991_OCC.tab
Apr 6, 2022 - Longitudinal Classification and Predictive Modeling for Historical CPS Data Using Random Forests
Tabular Data - 48.6 KB - 13 Variables, 525 Observations - UNF:6:lUIMqNQC6bCaFV+2/0m2fw==
results_table_2021from_occ_1992_aug1995_OCC.tab
Apr 6, 2022 - Longitudinal Classification and Predictive Modeling for Historical CPS Data Using Random Forests
Tabular Data - 48.5 KB - 13 Variables, 525 Observations - UNF:6:Yhn98DadvegNv1VW+iM2OQ==
results_table_2021from_occ_2003_2010_OCC.tab
Apr 6, 2022 - Longitudinal Classification and Predictive Modeling for Historical CPS Data Using Random Forests
Tabular Data - 45.6 KB - 13 Variables, 525 Observations - UNF:6:g1fXWYfR6Y+jku7q7y26zQ==
results_table_2021from_occ_2011_2019_OCC.tab
Apr 6, 2022 - Longitudinal Classification and Predictive Modeling for Historical CPS Data Using Random Forests
Tabular Data - 44.9 KB - 13 Variables, 525 Observations - UNF:6:06H6HacD54gZ3qLeMshB9Q==
results_table_2021from_occ_sept1995_2002_OCC.tab
Apr 6, 2022 - Longitudinal Classification and Predictive Modeling for Historical CPS Data Using Random Forests
Tabular Data - 49.0 KB - 13 Variables, 525 Observations - UNF:6:8d10wre2/gcG0isgsK8EmA==
prediction-quality.model
Mar 23, 2021 - Data for Random Forests for Early Planet Growth Emulation
Unknown - 1.8 MB - MD5: 877b451b2b2583a75b94f1642dcccd41
classifier to predict whether the package's prediction itself will be reliable
ReadMe_DustyForestData_20210322.txt
Mar 23, 2021 - Data for Random Forests for Early Planet Growth Emulation
Plain Text - 426 B - MD5: 86c8d97d6850d2e4a83e479eb72ddd00
explanation and sources for files in the dataset
rf-model-large.joblib
Mar 23, 2021 - Data for Random Forests for Early Planet Growth Emulation
Unknown - 6.2 GB - MD5: 5fa0de7c8124b1c50a42be9d1a66d1ea
pre-trained random forest model for use in dustyforest python package
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