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
9608
copy
true
9609
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
9559
missing_values
NaN
9559
strategy
"constant"
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verbose
0
9559
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
9611
sparse
true
9611
threshold
0.0
9612
criterion
"friedman_mse"
9667
init
null
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learning_rate
0.0030752919520695785
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loss
"deviance"
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max_depth
25
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max_features
0.8952072750131869
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max_leaf_nodes
null
9667
min_impurity_decrease
0.7451130861761514
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min_impurity_split
null
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min_samples_leaf
14
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min_samples_split
7
9667
min_weight_fraction_leaf
0.33131897461052995
9667
n_estimators
1320
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n_iter_no_change
157
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presort
"auto"
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random_state
42736
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subsample
0.6293888718243417
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tol
0.00035310838249270047
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validation_fraction
0.6280899237469815
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verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
5780.3351980001025
usercpu_time_millis_training
5633.529693001037
usercpu_time_millis_training
5626.58650999947
usercpu_time_millis_training
5616.262602998177
usercpu_time_millis_training
5652.958364000369
usercpu_time_millis_training
5664.810376001697
usercpu_time_millis_training
5659.394708000036
usercpu_time_millis_training
5579.872802001773
usercpu_time_millis_training
5611.385472999245
usercpu_time_millis_training
5710.483918999671
usercpu_time_millis_testing
6.0052360022382345
usercpu_time_millis_testing
6.059474999347003
usercpu_time_millis_testing
6.1312479992921
usercpu_time_millis_testing
6.057725000573555
usercpu_time_millis_testing
6.306495000899304
usercpu_time_millis_testing
6.064762001187773
usercpu_time_millis_testing
6.036831000528764
usercpu_time_millis_testing
5.8370500009914394
usercpu_time_millis_testing
5.913324999710312
usercpu_time_millis_testing
6.73932599966065
usercpu_time_millis
5786.340434002341
usercpu_time_millis
5639.589168000384
usercpu_time_millis
5632.717757998762
usercpu_time_millis
5622.32032799875
usercpu_time_millis
5659.264859001269
usercpu_time_millis
5670.875138002884
usercpu_time_millis
5665.431539000565
usercpu_time_millis
5585.709852002765
usercpu_time_millis
5617.298797998956
usercpu_time_millis
5717.223244999332
predictive_accuracy
0.8340248962655602
predictive_accuracy
0.8340248962655602
predictive_accuracy
0.8257261410788381
predictive_accuracy
0.8464730290456431
predictive_accuracy
0.8423236514522822
predictive_accuracy
0.8340248962655602
predictive_accuracy
0.8257261410788381
predictive_accuracy
0.8333333333333334
predictive_accuracy
0.8625
predictive_accuracy
0.8291666666666667