XGBRegressor - ~b-reg-64 - default -#

Fitted on a problem type ~b-reg-64 (see find_suitable_problem), method predict matches output .

XGBRegressor(base_score=0.5, booster='gbtree', colsample_bylevel=1,
         colsample_bynode=1, colsample_bytree=1, enable_categorical=False,
         gamma=0, gpu_id=-1, importance_type=None,
         interaction_constraints='', learning_rate=0.300000012,
         max_delta_step=0, max_depth=6, min_child_weight=1, missing=nan,
         monotone_constraints='()', n_estimators=100, n_jobs=8,
         num_parallel_tree=1, predictor='auto', random_state=0, reg_alpha=0,
         reg_lambda=1, scale_pos_weight=1, subsample=1, tree_method='exact',
         validate_parameters=1, verbosity=None)

index	0
skl_nop	1
onx_size	81529
onx_nnodes	1
onx_ninits	0
onx_doc_string
onx_ir_version	8
onx_domain	ai.onnx
onx_model_version	0
onx_producer_name	skl2onnx
onx_producer_version	1.11.1
onx_mlprodict	1
onx_	15
onx_size_optim	81529
onx_nnodes_optim	1
onx_ninits_optim	0
fit_objective	reg:squarederror
fit_estimators_.size	100
fit_node_count	2602
fit_ntrees	100
fit_leave_count	1351
fit_mode_count	2

XGBRegressor - b-reg - default -

model_selection