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1,011 to 1,020 of 1,021 Results

results_table_2021from_ind_2014_2019_IND.tab Apr 6, 2022 - Longitudinal Classification and Predictive Modeling for Historical CPS Data Using Random Forests Tabular Data - 22.1 KB - 13 Variables, 262 Observations - UNF:6:O4jJkZHhlzv1l/KpBZykrQ==
results_table_2021from_occ_1972_1982_OCC.tab Apr 6, 2022 - Longitudinal Classification and Predictive Modeling for Historical CPS Data Using Random Forests Tabular Data - 48.1 KB - 13 Variables, 525 Observations - UNF:6:oQMg08DwzSD3wUOYd5IXVQ==
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==
Data for Random Forests for Early Planet Growth Emulation Mar 23, 2021 Zazzera, André; Hoffman, Kevin; Sung, Jae, 2021, "Data for Random Forests for Early Planet Growth Emulation", https://doi.org/10.18130/V3/SX7JNS, University of Virginia Dataverse, V1 Dataset for UVA MSDS/Astronomy Capstone Group, doing research on early planet formation and machine learning emulation of the processes. In particular, the pre-trained models for the random forest algorithm and a further prediction quality classifier are also contained here, for use in open-source Python packaging.
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

results_table_2021from_ind_2014_2019_IND.tab

Apr 6, 2022 - Longitudinal Classification and Predictive Modeling for Historical CPS Data Using Random Forests

Tabular Data - 22.1 KB - 13 Variables, 262 Observations -

results_table_2021from_occ_1972_1982_OCC.tab

Apr 6, 2022 - Longitudinal Classification and Predictive Modeling for Historical CPS Data Using Random Forests

Tabular Data - 48.1 KB - 13 Variables, 525 Observations -

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 -

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 -

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 -

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 -

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 -

Data for Random Forests for Early Planet Growth Emulation

Mar 23, 2021

Zazzera, André; Hoffman, Kevin; Sung, Jae, 2021, "Data for Random Forests for Early Planet Growth Emulation", https://doi.org/10.18130/V3/SX7JNS, University of Virginia Dataverse, V1

Dataset for UVA MSDS/Astronomy Capstone Group, doing research on early planet formation and machine learning emulation of the processes. In particular, the pre-trained models for the random forest algorithm and a further prediction quality classifier are also contained here, for use in open-source Python packaging.

prediction-quality.model

Mar 23, 2021 - Data for Random Forests for Early Planet Growth Emulation

Unknown - 1.8 MB -

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 -

explanation and sources for files in the dataset

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