metadata

library_name: sklearn
tags:
  - sklearn
  - skops
  - tabular-classification
model_file: model.pkl
widget:
  structuredData:
    angel_n_rounds:
      - 0
      - 0
      - 0
    pre_seed_n_rounds:
      - 0
      - 0
      - 0
    seed_funding_normalised:
      - 0
      - 0
      - 0.0018888888888888
    seed_n_rounds:
      - 2
      - 0
      - 1
    time_first_funding_normalised:
      - 0.2120435618193465
      - 0.380183642963912
      - 0.209908178518044
    time_till_series_a_normalised:
      - 0.3253001132502832
      - 0.3585503963759909
      - 0.2226500566251415

Model description

[More Information Needed]

Intended uses & limitations

[More Information Needed]

Training Procedure

Hyperparameters

The model is trained with below hyperparameters.

Click to expand

Hyperparameter	Value
C	1.0
class_weight
dual	False
fit_intercept	True
intercept_scaling	1
l1_ratio
max_iter	100
multi_class	auto
n_jobs
penalty	none
random_state	0
solver	lbfgs
tol	0.0001
verbose	0
warm_start	False

Model Plot

The model plot is below.

LogisticRegression(penalty='none', random_state=0)

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Evaluation Results

[More Information Needed]

How to Get Started with the Model

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Model Card Authors

This model card is written by following authors:

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Model Card Contact

You can contact the model card authors through following channels: [More Information Needed]

Citation

Below you can find information related to citation.

BibTeX:

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model_card_authors

jirko

model_description

just the temporal regression with reduced input features