AdaBoostClassifier - m-cl - default - {‘zipmap’: False}#

Fitted on a problem type m-cl (see find_suitable_problem), method predict_proba matches output . Model was converted with additional parameter: <class 'sklearn.ensemble._weight_boosting.AdaBoostClassifier'>={'zipmap': False}.

AdaBoostClassifier(n_estimators=10, random_state=0)

index

0

skl_nop

11

skl_nnodes

30

skl_ntrees

10

skl_max_depth

1

onx_size

11613

onx_nnodes

95

onx_ninits

10

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_

15

onx_ai.onnx.ml

1

onx_op_Cast

3

onx_op_Reshape

12

onx_size_optim

8578

onx_nnodes_optim

71

onx_ninits_optim

10

fit_estimator_weights_.shape

10

fit_estimator_errors_.shape

10

fit_classes_.shape

3

fit_n_classes_

3

fit_estimators_.size

10

fit_estimators_.n_classes_

3

fit_estimators_.sum|tree_.node_count

30

fit_estimators_.classes_.shape

3

fit_estimators_.sum|tree_.leave_count

20

fit_estimators_.n_features_

4

fit_estimators_.max|tree_.max_depth

1
%0 X X float((0, 4)) TreeEnsembleClassifier TreeEnsembleClassifier (TreeEnsembleClassifier) class_ids=[0 1 2 0 1 2] class_nodeids=[1 1 1 2 2 2] class_treeids=[0 0 0 0 0 0] class_weights=[1.        0.    ... classlabels_int64s=[0 1 2] nodes_falsenodeids=[2 0 0] nodes_featureids=[2 0 0] nodes_hitrates=[1. 1. 1.] nodes_missing_value_tracks_true=[0 0 0] nodes_modes=[b'BRANCH_LEQ' b'LE... nodes_nodeids=[0 1 2] nodes_treeids=[0 0 0] nodes_truenodeids=[1 0 0] nodes_values=[2.5489838 0.     ... post_transform=b'NONE' X->TreeEnsembleClassifier TreeEnsembleClassifier1 TreeEnsembleClassifier (TreeEnsembleClassifier1) class_ids=[0 1 2 0 1 2] class_nodeids=[1 1 1 2 2 2] class_treeids=[0 0 0 0 0 0] class_weights=[4.35775337e-06 8... classlabels_int64s=[0 1 2] nodes_falsenodeids=[2 0 0] nodes_featureids=[2 0 0] nodes_hitrates=[1. 1. 1.] nodes_missing_value_tracks_true=[0 0 0] nodes_modes=[b'BRANCH_LEQ' b'LE... nodes_nodeids=[0 1 2] nodes_treeids=[0 0 0] nodes_truenodeids=[1 0 0] nodes_values=[4.851396 0.      ... post_transform=b'NONE' X->TreeEnsembleClassifier1 TreeEnsembleClassifier2 TreeEnsembleClassifier (TreeEnsembleClassifier2) class_ids=[0 1 2 0 1 2] class_nodeids=[1 1 1 2 2 2] class_treeids=[0 0 0 0 0 0] class_weights=[1.  0.  0.  0.  ... classlabels_int64s=[0 1 2] nodes_falsenodeids=[2 0 0] nodes_featureids=[2 0 0] nodes_hitrates=[1. 1. 1.] nodes_missing_value_tracks_true=[0 0 0] nodes_modes=[b'BRANCH_LEQ' b'LE... nodes_nodeids=[0 1 2] nodes_treeids=[0 0 0] nodes_truenodeids=[1 0 0] nodes_values=[2.5489838 0.     ... post_transform=b'NONE' X->TreeEnsembleClassifier2 TreeEnsembleClassifier3 TreeEnsembleClassifier (TreeEnsembleClassifier3) class_ids=[0 1 2 0 1 2] class_nodeids=[1 1 1 2 2 2] class_treeids=[0 0 0 0 0 0] class_weights=[5.7989137e-06 9.... classlabels_int64s=[0 1 2] nodes_falsenodeids=[2 0 0] nodes_featureids=[3 0 0] nodes_hitrates=[1. 1. 1.] nodes_missing_value_tracks_true=[0 0 0] nodes_modes=[b'BRANCH_LEQ' b'LE... nodes_nodeids=[0 1 2] nodes_treeids=[0 0 0] nodes_truenodeids=[1 0 0] nodes_values=[1.5370959 0.     ... post_transform=b'NONE' X->TreeEnsembleClassifier3 TreeEnsembleClassifier4 TreeEnsembleClassifier (TreeEnsembleClassifier4) class_ids=[0 1 2 0 1 2] class_nodeids=[1 1 1 2 2 2] class_treeids=[0 0 0 0 0 0] class_weights=[1.  0.  0.  0.  ... classlabels_int64s=[0 1 2] nodes_falsenodeids=[2 0 0] nodes_featureids=[2 0 0] nodes_hitrates=[1. 1. 1.] nodes_missing_value_tracks_true=[0 0 0] nodes_modes=[b'BRANCH_LEQ' b'LE... nodes_nodeids=[0 1 2] nodes_treeids=[0 0 0] nodes_truenodeids=[1 0 0] nodes_values=[2.5489838 0.     ... post_transform=b'NONE' X->TreeEnsembleClassifier4 TreeEnsembleClassifier5 TreeEnsembleClassifier (TreeEnsembleClassifier5) class_ids=[0 1 2 0 1 2] class_nodeids=[1 1 1 2 2 2] class_treeids=[0 0 0 0 0 0] class_weights=[4.7509780e-06 9.... classlabels_int64s=[0 1 2] nodes_falsenodeids=[2 0 0] nodes_featureids=[2 0 0] nodes_hitrates=[1. 1. 1.] nodes_missing_value_tracks_true=[0 0 0] nodes_modes=[b'BRANCH_LEQ' b'LE... nodes_nodeids=[0 1 2] nodes_treeids=[0 0 0] nodes_truenodeids=[1 0 0] nodes_values=[4.851396 0.      ... post_transform=b'NONE' X->TreeEnsembleClassifier5 TreeEnsembleClassifier6 TreeEnsembleClassifier (TreeEnsembleClassifier6) class_ids=[0 1 2 0 1 2] class_nodeids=[1 1 1 2 2 2] class_treeids=[0 0 0 0 0 0] class_weights=[1.  0.  0.  0.  ... classlabels_int64s=[0 1 2] nodes_falsenodeids=[2 0 0] nodes_featureids=[2 0 0] nodes_hitrates=[1. 1. 1.] nodes_missing_value_tracks_true=[0 0 0] nodes_modes=[b'BRANCH_LEQ' b'LE... nodes_nodeids=[0 1 2] nodes_treeids=[0 0 0] nodes_truenodeids=[1 0 0] nodes_values=[2.5489838 0.     ... post_transform=b'NONE' X->TreeEnsembleClassifier6 TreeEnsembleClassifier7 TreeEnsembleClassifier (TreeEnsembleClassifier7) class_ids=[0 1 2 0 1 2] class_nodeids=[1 1 1 2 2 2] class_treeids=[0 0 0 0 0 0] class_weights=[4.8334914e-06 9.... classlabels_int64s=[0 1 2] nodes_falsenodeids=[2 0 0] nodes_featureids=[3 0 0] nodes_hitrates=[1. 1. 1.] nodes_missing_value_tracks_true=[0 0 0] nodes_modes=[b'BRANCH_LEQ' b'LE... nodes_nodeids=[0 1 2] nodes_treeids=[0 0 0] nodes_truenodeids=[1 0 0] nodes_values=[1.5370959 0.     ... post_transform=b'NONE' X->TreeEnsembleClassifier7 TreeEnsembleClassifier8 TreeEnsembleClassifier (TreeEnsembleClassifier8) class_ids=[0 1 2 0 1 2] class_nodeids=[1 1 1 2 2 2] class_treeids=[0 0 0 0 0 0] class_weights=[1.  0.  0.  0.  ... classlabels_int64s=[0 1 2] nodes_falsenodeids=[2 0 0] nodes_featureids=[2 0 0] nodes_hitrates=[1. 1. 1.] nodes_missing_value_tracks_true=[0 0 0] nodes_modes=[b'BRANCH_LEQ' b'LE... nodes_nodeids=[0 1 2] nodes_treeids=[0 0 0] nodes_truenodeids=[1 0 0] nodes_values=[2.5489838 0.     ... post_transform=b'NONE' X->TreeEnsembleClassifier8 TreeEnsembleClassifier9 TreeEnsembleClassifier (TreeEnsembleClassifier9) class_ids=[0 1 2 0 1 2] class_nodeids=[1 1 1 2 2 2] class_treeids=[0 0 0 0 0 0] class_weights=[4.7941480e-06 9.... classlabels_int64s=[0 1 2] nodes_falsenodeids=[2 0 0] nodes_featureids=[2 0 0] nodes_hitrates=[1. 1. 1.] nodes_missing_value_tracks_true=[0 0 0] nodes_modes=[b'BRANCH_LEQ' b'LE... nodes_nodeids=[0 1 2] nodes_treeids=[0 0 0] nodes_truenodeids=[1 0 0] nodes_values=[4.851396 0.      ... post_transform=b'NONE' X->TreeEnsembleClassifier9 label label int64((0,)) probabilities probabilities float((0, 3)) ArgMax ArgMax (ArgMax) axis=1 probabilities->ArgMax classes classes int32((3,)) [0 1 2] ArrayFeatureExtractor ArrayFeatureExtractor (ArrayFeatureExtractor) classes->ArrayFeatureExtractor inverted_n_classes inverted_n_classes float32(()) 0.33333334 Mul12 Mul (Mul12) inverted_n_classes->Mul12 Mul Mul (Mul) inverted_n_classes->Mul Mul2 Mul (Mul2) inverted_n_classes->Mul2 Mul4 Mul (Mul4) inverted_n_classes->Mul4 Mul16 Mul (Mul16) inverted_n_classes->Mul16 Mul14 Mul (Mul14) inverted_n_classes->Mul14 Mul18 Mul (Mul18) inverted_n_classes->Mul18 Mul8 Mul (Mul8) inverted_n_classes->Mul8 Mul6 Mul (Mul6) inverted_n_classes->Mul6 Mul10 Mul (Mul10) inverted_n_classes->Mul10 n_classes_minus_one n_classes_minus_one float32(()) 2.0 Mul13 Mul (Mul13) n_classes_minus_one->Mul13 Mul1 Mul (Mul1) n_classes_minus_one->Mul1 Mul3 Mul (Mul3) n_classes_minus_one->Mul3 Mul17 Mul (Mul17) n_classes_minus_one->Mul17 Mul19 Mul (Mul19) n_classes_minus_one->Mul19 Mul15 Mul (Mul15) n_classes_minus_one->Mul15 Mul7 Mul (Mul7) n_classes_minus_one->Mul7 Mul5 Mul (Mul5) n_classes_minus_one->Mul5 Mul9 Mul (Mul9) n_classes_minus_one->Mul9 Mul11 Mul (Mul11) n_classes_minus_one->Mul11 clip_min clip_min float32(()) 2.220446e-16 ClipAda7 Clip (ClipAda7) clip_min->ClipAda7 ClipAda1 Clip (ClipAda1) clip_min->ClipAda1 ClipAda2 Clip (ClipAda2) clip_min->ClipAda2 ClipAda Clip (ClipAda) clip_min->ClipAda ClipAda9 Clip (ClipAda9) clip_min->ClipAda9 ClipAda8 Clip (ClipAda8) clip_min->ClipAda8 ClipAda3 Clip (ClipAda3) clip_min->ClipAda3 ClipAda6 Clip (ClipAda6) clip_min->ClipAda6 ClipAda5 Clip (ClipAda5) clip_min->ClipAda5 ClipAda4 Clip (ClipAda4) clip_min->ClipAda4 axis axis int64((1,)) [1] ReduceSum6 ReduceSum (ReduceSum6) axis->ReduceSum6 ReduceSum1 ReduceSum (ReduceSum1) axis->ReduceSum1 ReduceSum ReduceSum (ReduceSum) axis->ReduceSum ReduceSum2 ReduceSum (ReduceSum2) axis->ReduceSum2 ReduceSum9 ReduceSum (ReduceSum9) axis->ReduceSum9 ReduceSum7 ReduceSum (ReduceSum7) axis->ReduceSum7 ReduceSum8 ReduceSum (ReduceSum8) axis->ReduceSum8 ReduceSum3 ReduceSum (ReduceSum3) axis->ReduceSum3 ReduceSum4 ReduceSum (ReduceSum4) axis->ReduceSum4 ReduceSum5 ReduceSum (ReduceSum5) axis->ReduceSum5 ReduceSum10 ReduceSum (ReduceSum10) axis->ReduceSum10 shape_tensor shape_tensor int64((2,)) [-1  1] Reshape6 Reshape (Reshape6) shape_tensor->Reshape6 Reshape1 Reshape (Reshape1) shape_tensor->Reshape1 Reshape Reshape (Reshape) shape_tensor->Reshape Reshape2 Reshape (Reshape2) shape_tensor->Reshape2 Reshape8 Reshape (Reshape8) shape_tensor->Reshape8 Reshape7 Reshape (Reshape7) shape_tensor->Reshape7 Reshape9 Reshape (Reshape9) shape_tensor->Reshape9 Reshape3 Reshape (Reshape3) shape_tensor->Reshape3 Reshape4 Reshape (Reshape4) shape_tensor->Reshape4 Reshape5 Reshape (Reshape5) shape_tensor->Reshape5 Reshape10 Reshape (Reshape10) shape_tensor->Reshape10 est_weights_sum est_weights_sum float32(()) 10.0 Div Div (Div) est_weights_sum->Div mul_operand mul_operand float32(()) 0.5 Mul20 Mul (Mul20) mul_operand->Mul20 zero_scalar zero_scalar int32(()) 0 Equal Equal (Equal) zero_scalar->Equal shape_tensor11 shape_tensor11 int64((1,)) [-1] Reshape11 Reshape (Reshape11) shape_tensor11->Reshape11 elab_name_0 elab_name_0 eprob_name_0 eprob_name_0 eprob_name_0->ClipAda TreeEnsembleClassifier->elab_name_0 TreeEnsembleClassifier->eprob_name_0 elab_name_1 elab_name_1 eprob_name_1 eprob_name_1 eprob_name_1->ClipAda1 TreeEnsembleClassifier1->elab_name_1 TreeEnsembleClassifier1->eprob_name_1 elab_name_2 elab_name_2 eprob_name_2 eprob_name_2 eprob_name_2->ClipAda2 TreeEnsembleClassifier2->elab_name_2 TreeEnsembleClassifier2->eprob_name_2 elab_name_3 elab_name_3 eprob_name_3 eprob_name_3 eprob_name_3->ClipAda3 TreeEnsembleClassifier3->elab_name_3 TreeEnsembleClassifier3->eprob_name_3 elab_name_4 elab_name_4 eprob_name_4 eprob_name_4 eprob_name_4->ClipAda4 TreeEnsembleClassifier4->elab_name_4 TreeEnsembleClassifier4->eprob_name_4 elab_name_5 elab_name_5 eprob_name_5 eprob_name_5 eprob_name_5->ClipAda5 TreeEnsembleClassifier5->elab_name_5 TreeEnsembleClassifier5->eprob_name_5 elab_name_6 elab_name_6 eprob_name_6 eprob_name_6 eprob_name_6->ClipAda6 TreeEnsembleClassifier6->elab_name_6 TreeEnsembleClassifier6->eprob_name_6 elab_name_7 elab_name_7 eprob_name_7 eprob_name_7 eprob_name_7->ClipAda7 TreeEnsembleClassifier7->elab_name_7 TreeEnsembleClassifier7->eprob_name_7 elab_name_8 elab_name_8 eprob_name_8 eprob_name_8 eprob_name_8->ClipAda8 TreeEnsembleClassifier8->elab_name_8 TreeEnsembleClassifier8->eprob_name_8 elab_name_9 elab_name_9 eprob_name_9 eprob_name_9 eprob_name_9->ClipAda9 TreeEnsembleClassifier9->elab_name_9 TreeEnsembleClassifier9->eprob_name_9 clipped_proba7 clipped_proba7 Log7 Log (Log7) clipped_proba7->Log7 ClipAda7->clipped_proba7 clipped_proba1 clipped_proba1 Log1 Log (Log1) clipped_proba1->Log1 ClipAda1->clipped_proba1 clipped_proba2 clipped_proba2 Log2 Log (Log2) clipped_proba2->Log2 ClipAda2->clipped_proba2 clipped_proba clipped_proba Log Log (Log) clipped_proba->Log ClipAda->clipped_proba clipped_proba9 clipped_proba9 Log9 Log (Log9) clipped_proba9->Log9 ClipAda9->clipped_proba9 clipped_proba8 clipped_proba8 Log8 Log (Log8) clipped_proba8->Log8 ClipAda8->clipped_proba8 clipped_proba3 clipped_proba3 Log3 Log (Log3) clipped_proba3->Log3 ClipAda3->clipped_proba3 clipped_proba6 clipped_proba6 Log6 Log (Log6) clipped_proba6->Log6 ClipAda6->clipped_proba6 clipped_proba5 clipped_proba5 Log5 Log (Log5) clipped_proba5->Log5 ClipAda5->clipped_proba5 clipped_proba4 clipped_proba4 Log4 Log (Log4) clipped_proba4->Log4 ClipAda4->clipped_proba4 log_proba7 log_proba7 log_proba7->ReduceSum7 Sub7 Sub (Sub7) log_proba7->Sub7 Log7->log_proba7 log_proba2 log_proba2 log_proba2->ReduceSum2 Sub2 Sub (Sub2) log_proba2->Sub2 Log2->log_proba2 log_proba1 log_proba1 log_proba1->ReduceSum1 Sub1 Sub (Sub1) log_proba1->Sub1 Log1->log_proba1 log_proba log_proba log_proba->ReduceSum Sub Sub (Sub) log_proba->Sub Log->log_proba log_proba8 log_proba8 log_proba8->ReduceSum8 Sub8 Sub (Sub8) log_proba8->Sub8 Log8->log_proba8 log_proba9 log_proba9 log_proba9->ReduceSum9 Sub9 Sub (Sub9) log_proba9->Sub9 Log9->log_proba9 log_proba3 log_proba3 log_proba3->ReduceSum3 Sub3 Sub (Sub3) log_proba3->Sub3 Log3->log_proba3 log_proba4 log_proba4 log_proba4->ReduceSum4 Sub4 Sub (Sub4) log_proba4->Sub4 Log4->log_proba4 log_proba6 log_proba6 log_proba6->ReduceSum6 Sub6 Sub (Sub6) log_proba6->Sub6 Log6->log_proba6 log_proba5 log_proba5 log_proba5->ReduceSum5 Sub5 Sub (Sub5) log_proba5->Sub5 Log5->log_proba5 reduced_proba6 reduced_proba6 reduced_proba6->Reshape6 ReduceSum6->reduced_proba6 reduced_proba1 reduced_proba1 reduced_proba1->Reshape1 ReduceSum1->reduced_proba1 reduced_proba reduced_proba reduced_proba->Reshape ReduceSum->reduced_proba reduced_proba2 reduced_proba2 reduced_proba2->Reshape2 ReduceSum2->reduced_proba2 reduced_proba9 reduced_proba9 reduced_proba9->Reshape9 ReduceSum9->reduced_proba9 reduced_proba7 reduced_proba7 reduced_proba7->Reshape7 ReduceSum7->reduced_proba7 reduced_proba8 reduced_proba8 reduced_proba8->Reshape8 ReduceSum8->reduced_proba8 reduced_proba3 reduced_proba3 reduced_proba3->Reshape3 ReduceSum3->reduced_proba3 reduced_proba4 reduced_proba4 reduced_proba4->Reshape4 ReduceSum4->reduced_proba4 reduced_proba5 reduced_proba5 reduced_proba5->Reshape5 ReduceSum5->reduced_proba5 reshaped_result6 reshaped_result6 reshaped_result6->Mul12 Reshape6->reshaped_result6 reshaped_result1 reshaped_result1 reshaped_result1->Mul2 Reshape1->reshaped_result1 reshaped_result reshaped_result reshaped_result->Mul Reshape->reshaped_result reshaped_result2 reshaped_result2 reshaped_result2->Mul4 Reshape2->reshaped_result2 reshaped_result8 reshaped_result8 reshaped_result8->Mul16 Reshape8->reshaped_result8 reshaped_result7 reshaped_result7 reshaped_result7->Mul14 Reshape7->reshaped_result7 reshaped_result9 reshaped_result9 reshaped_result9->Mul18 Reshape9->reshaped_result9 reshaped_result3 reshaped_result3 reshaped_result3->Mul6 Reshape3->reshaped_result3 reshaped_result4 reshaped_result4 reshaped_result4->Mul8 Reshape4->reshaped_result4 reshaped_result5 reshaped_result5 reshaped_result5->Mul10 Reshape5->reshaped_result5 prod_result6 prod_result6 prod_result6->Sub6 Mul12->prod_result6 prod_result prod_result prod_result->Sub Mul->prod_result prod_result1 prod_result1 prod_result1->Sub1 Mul2->prod_result1 prod_result2 prod_result2 prod_result2->Sub2 Mul4->prod_result2 prod_result8 prod_result8 prod_result8->Sub8 Mul16->prod_result8 prod_result7 prod_result7 prod_result7->Sub7 Mul14->prod_result7 prod_result9 prod_result9 prod_result9->Sub9 Mul18->prod_result9 prod_result4 prod_result4 prod_result4->Sub4 Mul8->prod_result4 prod_result3 prod_result3 prod_result3->Sub3 Mul6->prod_result3 prod_result5 prod_result5 prod_result5->Sub5 Mul10->prod_result5 sub_result6 sub_result6 sub_result6->Mul13 Sub6->sub_result6 sub_result1 sub_result1 sub_result1->Mul3 Sub1->sub_result1 sub_result sub_result sub_result->Mul1 Sub->sub_result sub_result8 sub_result8 sub_result8->Mul17 Sub8->sub_result8 sub_result9 sub_result9 sub_result9->Mul19 Sub9->sub_result9 sub_result7 sub_result7 sub_result7->Mul15 Sub7->sub_result7 sub_result5 sub_result5 sub_result5->Mul11 Sub5->sub_result5 sub_result2 sub_result2 sub_result2->Mul5 Sub2->sub_result2 sub_result4 sub_result4 sub_result4->Mul9 Sub4->sub_result4 sub_result3 sub_result3 sub_result3->Mul7 Sub3->sub_result3 samme_proba6 samme_proba6 Sum Sum (Sum) samme_proba6->Sum Mul13->samme_proba6 samme_proba samme_proba samme_proba->Sum Mul1->samme_proba samme_proba1 samme_proba1 samme_proba1->Sum Mul3->samme_proba1 samme_proba8 samme_proba8 samme_proba8->Sum Mul17->samme_proba8 samme_proba9 samme_proba9 samme_proba9->Sum Mul19->samme_proba9 samme_proba7 samme_proba7 samme_proba7->Sum Mul15->samme_proba7 samme_proba3 samme_proba3 samme_proba3->Sum Mul7->samme_proba3 samme_proba2 samme_proba2 samme_proba2->Sum Mul5->samme_proba2 samme_proba4 samme_proba4 samme_proba4->Sum Mul9->samme_proba4 samme_proba5 samme_proba5 samme_proba5->Sum Mul11->samme_proba5 summation_prob summation_prob summation_prob->Div Sum->summation_prob div_result div_result div_result->Mul20 Div->div_result exp_operand exp_operand Exp Exp (Exp) exp_operand->Exp Mul20->exp_operand exp_result exp_result exp_result->ReduceSum10 Div1 Div (Div1) exp_result->Div1 Exp->exp_result reduced_exp_result reduced_exp_result reduced_exp_result->Reshape10 ReduceSum10->reduced_exp_result normaliser normaliser Cast Cast (Cast) to=6 normaliser->Cast Add Add (Add) normaliser->Add Reshape10->normaliser cast_normaliser cast_normaliser cast_normaliser->Equal Cast->cast_normaliser comparison_result comparison_result Cast1 Cast (Cast1) to=1 comparison_result->Cast1 Equal->comparison_result cast_output cast_output cast_output->Add Cast1->cast_output zero_filtered_normaliser zero_filtered_normaliser zero_filtered_normaliser->Div1 Add->zero_filtered_normaliser Div1->probabilities argmax_output argmax_output argmax_output->ArrayFeatureExtractor ArgMax->argmax_output array_feature_extractor_result array_feature_extractor_result array_feature_extractor_result->Reshape11 ArrayFeatureExtractor->array_feature_extractor_result reshaped_result10 reshaped_result10 Cast2 Cast (Cast2) to=7 reshaped_result10->Cast2 Reshape11->reshaped_result10 Cast2->label

previous

AdaBoostClassifier - ~b-cl-64 - default - {‘zipmap’: False}

next

AdaBoostRegressor - b-reg - default -