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---
license: mit
tags:
- weather
- tornado
- tornado-detection
- tornadoes
metrics:
- recall
- precision
---
# NOTE: **ALL** ten folds are in the ensemblev8+v9.zip, the five are in the zip for v8 file. A like would be appreciated!


### 📈 Model Comparison Table
| Model Name        | Threshold | Model parameters | AUC   | AUCPR  | BinaryAccuracy | TruePositives | FalsePositives | TrueNegatives | FalseNegatives | Precision | Recall | FalseAlarmRate | F1    | ThreatScore |
|-------------------|-----------|------------------|-------|--------|----------------|---------------|----------------|---------------|----------------|-----------|--------|----------------|-------|-------------|
| baseline          | 0.0101    | 4665409          | 0.8742 | 0.5349 | 0.9456         | 915           | 635            | 28841         | 1076           | 0.5903    | 0.4596 | 0.4097         | 0.5168 | 0.3484      |
| WRN               | 0.4444    | 229759           | 0.882  | 0.5498 | 0.9456         | 973           | 693            | 28783         | 1018           | 0.5840    | 0.4887 | 0.416          | 0.5321 | 0.3625      |
| gated             | 0.5353    | 514905           | 0.8862 | 0.5574 | 0.9436         | 976           | 761            | 28715         | 1015           | 0.5619    | 0.4902 | 0.4381         | 0.5236 | 0.3547      |
| WRN+Gated         | 0.4898    | 744664           | 0.8928 | 0.5705 | 0.9474         | 975           | 640            | 28836         | 1016           | 0.6037    | 0.4897 | 0.3963         | 0.5408 | 0.3706      |
| PReLU_textbook    | 0.4242    | 102524           | 0.8976 | 0.5853 | 0.9481         | 1032          | 673            | 28803         | 959            | 0.6053    | 0.5183 | 0.3947         | 0.5584 | 0.3874      |
| old_ensemble      | 0.3899    | 512620            | 0.9047 | 0.5947 | 0.9479         | 1020          | 669            | 28807         | 971            | 0.6039    | 0.5123 | 0.3961         | 0.5543 | 0.3835      |
| ensemble_V8TH     | 0.3999    | 1050714          | 0.911  | 0.6179 | 0.9497         | **1068**      | 659            | 28817         | **923**        | 0.6184    | **0.5364** | 0.3816         | **0.5745** | **0.403**       |
| ensemble_v9       | 0.46      | 1379898          | 0.9115 | 0.6143 | 0.9492         | 1038          | 644            | 28832         | 953            | 0.6171    | 0.5213 | 0.3829         | 0.5652 | 0.3939      |
| ensemble_v8+v9    | 0.4353    | **2430612**      | **0.9128** | **0.6195** | **0.9504**    | 1050          | **621**        | **28855**     | 941            | **0.6284** | 0.5274 | **0.3716**     | 0.5735 | 0.402       |



## Cross Val ensemble Table

| Name                    | seed   | Params | fold 1 | fold 2 | fold 3 | fold 4 | fold 5 | Average |
|-------------------------|--------|--------|--------|--------|--------|--------|--------|---------|
| baseline                |        | 4.5M   | 0.5121 | 0.4405 | 0.4647 | 0.4544 | 0.4451 | 0.4634  |
| WRN                     |        | 230k   | 0.6184 | 0.5546 | 0.5986 | 0.6152 | 0.6072 | 0.5988  |
| Gated                   |        | 600k   | 0.6401 | 0.5516 | 0.5247 | 0.5878 | 0.5716 | 0.5752  |
| PReLU                   |        | 102k   | 0.6314 | 0.6210 | 0.6006 | 0.6266 | 0.6132 | 0.6186  |
| ensemble_v8             |        |        | 0.6338 | **0.6359** | 0.6141 | 0.6342 | **0.6211** | 0.62782 |
| fold 1 script cross val |        | ~300k  | **0.6627** | 0.6312 | **0.6171** | **0.6488** | 0.6187 | **0.6357** |


## Tornado Detection Model

Instructions on evaluation ensemble usage can be found at: https://github.com/Higgs32584/tornet-Higgins
Instructions for downloading the data can be found at: https://github.com/mit-ll/tornet