metadata

library_name: sklearn
tags:
  - sklearn
  - skops
  - tabular-classification
model_format: skops
model_file: clf.skops
widget:
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Model description

LightGBM classifier of tree/non-tree pixels from aerial imagery trained on Zurich's Orthofoto Sommer 2014/15 using detectree.

Intended uses & limitations

Segment tree/non-tree pixels from aerial imagery

Training Procedure

[More Information Needed]

Hyperparameters

Click to expand

Hyperparameter	Value
boosting_type	gbdt
class_weight
colsample_bytree	1.0
importance_type	split
learning_rate	0.1
max_depth	-1
min_child_samples	20
min_child_weight	0.001
min_split_gain	0.0
n_estimators	200
n_jobs
num_leaves	31
objective
random_state
reg_alpha	0.0
reg_lambda	0.0
subsample	1.0
subsample_for_bin	200000
subsample_freq	0

Model Plot

LGBMClassifier(n_estimators=200)

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