---
library_name: sklearn
tags:
- sklearn
- skops
- tabular-classification
model_format: skops
model_file: rat_transcript_classifier.skops
widget:
- structuredData:
5p_exon_3p_dta:
- 37621.0
- 13298.0
- 5.0
5p_exon_dta:
- 37166.0
- 13525.0
- 0.0
5p_exon_overlap:
- 0.0
- 0.0
- 0.957983193277311
comparison:
- URS00022B95F7_10116@4/162637088-162637354,162640058-162640917:+ vs URS00022B67D3_10116@4/162668173-162673270,162674254-162674975:-
- URS00022B3BFE_10116@7/127326516-127327003,127328022-127328176,127334907-127334980,127341770-127341967:+
vs URS00022B706E_10116@7/127326165-127326413,127335999-127337414,127340041-127340301:-
- URS00022B4EAE_10116@1/53814578-53815897,53822454-53822548,53822635-53822754:-
vs URS00022B680B_10116@1/53821369-53821902,53822454-53822548,53822635-53822749:-
exons_overlapping:
- 0
- 0
- 2
label:
- 0
- 0
- 1
strand:
- 0
- 0
- 1
type_sim:
- 1.0
- 1.0
- 1.0
---
# Model description
[More Information Needed]
## Intended uses & limitations
[More Information Needed]
## Training Procedure
[More Information Needed]
### Hyperparameters
Click to expand
| Hyperparameter | Value |
|--------------------------|---------|
| bootstrap | True |
| ccp_alpha | 0.0 |
| class_weight | |
| criterion | gini |
| max_depth | |
| max_features | sqrt |
| max_leaf_nodes | |
| max_samples | |
| min_impurity_decrease | 0.0 |
| min_samples_leaf | 1 |
| min_samples_split | 2 |
| min_weight_fraction_leaf | 0.0 |
| monotonic_cst | |
| n_estimators | 100 |
| n_jobs | |
| oob_score | False |
| random_state | 42 |
| verbose | 0 |
| warm_start | False |
RandomForestClassifier(random_state=42)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
RandomForestClassifier(random_state=42)