opentargets/locus_to_gene

Model description

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Intended uses & limitations

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Training Procedure

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Hyperparameters

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Hyperparameter	Value
ccp_alpha	0.0
criterion	friedman_mse
init
learning_rate	0.1
loss	log_loss
max_depth	5
max_features
max_leaf_nodes
min_impurity_decrease	0.0
min_samples_leaf	1
min_samples_split	2
min_weight_fraction_leaf	0.0
n_estimators	100
n_iter_no_change
random_state
subsample	1.0
tol	0.0001
validation_fraction	0.1
verbose	0
warm_start	False

Model Plot

GradientBoostingClassifier(max_depth=5)

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Evaluation Results

Metric	Value
accuracy	0.893318
f1 score	0.893318

Confusion Matrix

Model description/Evaluation Results/Classification report

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index	precision	recall	f1-score	support
negative	0.910506	0.969613	0.93913	724
positive	0.731707	0.465116	0.56872	129
macro avg	0.821107	0.717365	0.753925	853
weighted avg	0.883466	0.893318	0.883113	853

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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citation_bibtex

bibtex @inproceedings{...,year={2020}}

get_started_code

import pickle with open(dtc_pkl_filename, 'rb') as file: clf = pickle.load(file)

model_card_authors

Irene

limitations

This model is not ready to be used in production.

model_description

This is a DecisionTreeClassifier model trained on test data.

Permutation Importance