Predictions


ID

Lang

Model name

Author

Repository

Predict date Type Model ID

Description

448

BB-M

2024-09-02 Model 30

Prediction for RJ in 2024 (train 2)

758

Model 2 - Weekly and yearly (rw1) components

2024-09-11 Model 28

This upload represents the epidemic prediction for validation test 2 in the state RJ.

146

Temp-SPI Interaction Model

2024-08-14 Model 22

Validation test 2 for three-way interaction model (RJ)

854

2025 sprint test

2025-04-11 Model 61

test for sprint 2025 preds of the arima model in MG

853

2025 sprint test

2025-04-11 Model 61

test for sprint 2025 preds of the arima model in MG

852

LSTM model for Infodengue Sprint

2025-04-11 Model 21

test for sprint 2025 preds of the arima model in MG

14

Random Forest model with uncertainty computed with conformal prediction

2023-09-14 Model 5

Forecast de novos casos para o geocode 2800308 entre 2022-01-01 e 2023-01-01 usando apenas os dados de todos as cidades clusterizadas com 2800308 como input

77

Random Forest model with uncertainty computed with conformal prediction

2023-09-14 Model 5

Forecast de novos casos para o geocode 3304557 entre 2022-01-01 e 2023-01-01 usando os dados de todos as cidades clusterizadas com 3304557 como input

825

LSTM model for Infodengue Sprint

2024-09-12 Model 21

Predictions for 2024 in MT using the att architecture

793

LSTM model for Infodengue Sprint

2024-09-12 Model 21

Predictions for 2024 in PA using the baseline architecture

824

LSTM model for Infodengue Sprint

2024-09-12 Model 21

Predictions for 2024 in MS using the att architecture

823

LSTM model for Infodengue Sprint

2024-09-12 Model 21

Predictions for 2023 in MT using the att architecture

822

LSTM model for Infodengue Sprint

2024-09-12 Model 21

Predictions for 2023 in MS using the att architecture

819

LSTM model for Infodengue Sprint

2024-09-12 Model 21

Predictions for 2024 in AP using the comb_att architecture

818

LSTM model for Infodengue Sprint

2024-09-12 Model 21

Predictions for 2024 in TO using the comb_att architecture

816

LSTM model for Infodengue Sprint

2024-09-12 Model 21

Predictions for 2023 in TO using the comb_att architecture

814

LSTM model for Infodengue Sprint

2024-09-12 Model 21

Predictions for 2024 in AM using the comb_att architecture

813

LSTM model for Infodengue Sprint

2024-09-12 Model 21

Predictions for 2023 in AM using the comb_att architecture

776

LSTM model for Infodengue Sprint

2024-09-12 Model 21

Predictions for 2023 in AC using the baseline architecture

774

LSTM model for Infodengue Sprint

2024-09-12 Model 21

Predictions for 2023 in RJ using the baseline architecture

773

LSTM model for Infodengue Sprint

2024-09-12 Model 21

Predictions for 2023 in SP using the baseline architecture

772

LSTM model for Infodengue Sprint

2024-09-12 Model 21

Predictions for 2023 in PR using the baseline architecture

771

LSTM model for Infodengue Sprint

2024-09-12 Model 21

Predictions for 2023 in SC using the baseline architecture

770

LSTM model for Infodengue Sprint

2024-09-12 Model 21

Predictions for 2023 in RS using the baseline architecture

769

LSTM model for Infodengue Sprint

2024-09-12 Model 21

Predictions for 2023 in RN using the baseline architecture

768

LSTM model for Infodengue Sprint

2024-09-12 Model 21

Predictions for 2023 in SE using the baseline architecture

751

Model 2 - Weekly and yearly (rw1) components

2024-09-11 Model 28

This upload represents the epidemic prediction for validation test 2 in the state SE.

750

Model 2 - Weekly and yearly (rw1) components

2024-09-11 Model 28

This upload represents the epidemic prediction for validation test 2 in the state RN.

749

Model 2 - Weekly and yearly (rw1) components

2024-09-11 Model 28

This upload represents the epidemic prediction for validation test 2 in the state PI.

748

Model 2 - Weekly and yearly (rw1) components

2024-09-11 Model 28

This upload represents the epidemic prediction for validation test 2 in the state PE.

703 predictions

https://api.mosqlimate.org/api/registry/predictions/?page=10&per_page=30&


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