metadata

library_name: sklearn
tags:
  - sklearn
  - skops
  - tabular-classification
model_format: pickle
model_file: model.pkl
widget:
  - structuredData:
      x0:
        - -0.09392700711129204
        - 2.371755361225434
        - 0.9671947566078468
      x1:
        - 1.6715939059930913
        - 1.0187539498438483
        - 0.31581839557288527
      x10:
        - 1.974051683532626
        - 0.5529279014966972
        - 1.4204609635013674
      x11:
        - 0.2611945709034309
        - 0.6196937299076192
        - 1.190400503805864
      x12:
        - -0.10332312980738237
        - -1.5650628809571772
        - -1.519967717751437
      x13:
        - -0.19920098627926822
        - 0.5095640242994445
        - -0.3729003029693749
      x14:
        - 0.6242153953856313
        - -1.0186442123275312
        - -3.0604199544158504
      x15:
        - -0.8808380741451728
        - -1.2523426524049155
        - -0.7973581049651146
      x16:
        - 1.0661014648120772
        - 0.028663896855952335
        - 1.3294361695442827
      x17:
        - -0.16809563986134812
        - 1.5728684096371472
        - 2.403793617769665
      x18:
        - -0.40971494857613056
        - -2.0685626995449002
        - -2.6352772611427193
      x19:
        - -0.48150986525698813
        - 1.2364168667276738
        - 2.180976940508645
      x2:
        - -0.6858149404655255
        - -2.5704433172483783
        - -0.2805726481338807
      x3:
        - -0.9938521434003649
        - 0.004948433682649548
        - 0.12386186534436842
      x4:
        - -1.5351676597000408
        - -0.06686764679970754
        - -1.1398384472701109
      x5:
        - 0.05599600888975593
        - 0.7388591828858628
        - -0.014210997630448757
      x6:
        - -0.14538476476312687
        - 0.954051151587725
        - 1.4942788646796958
      x7:
        - 1.705729977752746
        - 0.45072299069455823
        - -0.27356356357396394
      x8:
        - 0.6083980206344903
        - 0.500745387789729
        - -0.13961381253754068
      x9:
        - 0.3675427037708833
        - -0.19653609210222556
        - -2.081336638897732

Model description

[More Information Needed]

Intended uses & limitations

[More Information Needed]

Training Procedure

[More Information Needed]

Hyperparameters

Click to expand

Hyperparameter	Value
ccp_alpha	0.0
class_weight
criterion	gini
max_depth
max_features
max_leaf_nodes
min_impurity_decrease	0.0
min_samples_leaf	1
min_samples_split	2
min_weight_fraction_leaf	0.0
random_state
splitter	best

Model Plot

DecisionTreeClassifier()

In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.

Evaluation Results

[More Information Needed]

How to Get Started with the Model

[More Information Needed]

Model Card Authors

This model card is written by following authors:

[More Information Needed]

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:

[More Information Needed]