XGBClassifier - ~b-cl-64 - default -#

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

XGBClassifier(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

5017

onx_nnodes

3

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_ai.onnx.ml

1

onx_

9

onx_op_Cast

1

onx_op_ZipMap

1

onx_size_optim

5017

onx_nnodes_optim

3

onx_ninits_optim

0

fit_classes_.shape

2

fit_n_classes_

2

fit_objective

binary:logistic

fit_estimators_.size

100

fit_node_count

128

fit_ntrees

100

fit_leave_count

114

fit_mode_count

2