Flow
sklearn.ensemble.gradient_boosting.GradientBoostingClassifier

sklearn.ensemble.gradient_boosting.GradientBoostingClassifier

Visibility: public Uploaded 17-07-2017 by Berkel sklearn==0.18.2 numpy>=1.6.1 scipy>=0.9 11 runs
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • openml-python python scikit-learn sklearn sklearn_0.18.2 Verified_Supervised_Classification
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Automatically created scikit-learn flow.

Parameters

criteriondefault: "friedman_mse"
initdefault: null
learning_ratedefault: 0.05
lossdefault: "deviance"
max_depthdefault: 3
max_featuresdefault: null
max_leaf_nodesdefault: null
min_impurity_splitdefault: 1e-07
min_samples_leafdefault: 1
min_samples_splitdefault: 2
min_weight_fraction_leafdefault: 0.0
n_estimatorsdefault: 500
presortdefault: "auto"
random_statedefault: null
subsampledefault: 1.0
verbosedefault: 0
warm_startdefault: false

0
Runs

List all runs
Parameter:
Rendering chart
Rendering table