3485
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memory
null
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steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}]
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n_jobs
null
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remainder
"passthrough"
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sparse_threshold
0.3
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transformer_weights
null
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transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [294, 295, 296, 297, 298]}}]
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memory
null
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steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
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axis
0
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copy
true
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missing_values
"NaN"
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strategy
"median"
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verbose
0
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copy
true
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with_mean
true
9609
with_std
true
9609
memory
null
9610
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
9610
copy
true
9559
fill_value
-1
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missing_values
NaN
9559
strategy
"constant"
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verbose
0
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categorical_features
null
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categories
null
9611
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
9611
handle_unknown
"ignore"
9611
n_values
null
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sparse
true
9611
threshold
0.0
9612
criterion
"friedman_mse"
9667
init
null
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learning_rate
4.455895415362835e-05
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loss
"deviance"
9667
max_depth
7
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max_features
0.8524997167281637
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max_leaf_nodes
null
9667
min_impurity_decrease
0.8794121457796196
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min_impurity_split
null
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min_samples_leaf
17
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min_samples_split
14
9667
min_weight_fraction_leaf
0.049620724806967165
9667
n_estimators
644
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n_iter_no_change
2034
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presort
"auto"
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random_state
14963
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subsample
0.6811468061026251
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tol
0.005345551994674414
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validation_fraction
0.41735155045205685
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verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
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18947.735826004646
usercpu_time_millis_training
18482.85436399601
usercpu_time_millis_training
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usercpu_time_millis_training
18869.750529003795
usercpu_time_millis_training
18920.180682005594
usercpu_time_millis_training
19049.92506900453
usercpu_time_millis_training
18759.67958399997
usercpu_time_millis_training
18382.12300500163
usercpu_time_millis_training
18011.20272999833
usercpu_time_millis_training
17909.116650000215
usercpu_time_millis_testing
8.160665995092131
usercpu_time_millis_testing
9.176257000945043
usercpu_time_millis_testing
8.182283003407065
usercpu_time_millis_testing
8.086023000942077
usercpu_time_millis_testing
9.235894998710137
usercpu_time_millis_testing
8.233371001551859
usercpu_time_millis_testing
8.050453994655982
usercpu_time_millis_testing
7.937772999866866
usercpu_time_millis_testing
8.984215004602447
usercpu_time_millis_testing
8.779581003182102
usercpu_time_millis
18955.896491999738
usercpu_time_millis
18492.030620996957
usercpu_time_millis
18921.415337004873
usercpu_time_millis
18877.836552004737
usercpu_time_millis
18929.416577004304
usercpu_time_millis
19058.158440006082
usercpu_time_millis
18767.730037994625
usercpu_time_millis
18390.060778001498
usercpu_time_millis
18020.186945002933
usercpu_time_millis
17917.896231003397
predictive_accuracy
0.8215767634854771
predictive_accuracy
0.8215767634854771
predictive_accuracy
0.8215767634854771
predictive_accuracy
0.8215767634854771
predictive_accuracy
0.8215767634854771
predictive_accuracy
0.8215767634854771
predictive_accuracy
0.8174273858921162
predictive_accuracy
0.8208333333333333
predictive_accuracy
0.8208333333333333
predictive_accuracy
0.8208333333333333