9977
9666
memory
null
9666
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"}}]
9666
n_jobs
null
9606
remainder
"passthrough"
9606
sparse_threshold
0.3
9606
transformer_weights
null
9606
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [0, 1, 2, 3, 4, 5, 8, 9, 10, 11, 12, 13, 16, 17, 18, 19, 20, 21, 24, 25, 26, 27, 28, 29, 32, 33, 34, 35, 36, 37, 40, 41, 42, 43, 44, 45, 48, 49, 50, 51, 52, 53, 56, 57, 58, 59, 60, 61, 64, 65, 66, 67, 68, 69, 72, 73, 74, 75, 76, 77, 80, 81, 82, 83, 84, 85, 88, 89, 90, 92, 93, 94, 96, 97, 98, 100, 101, 102, 104, 105, 106, 108, 109, 110, 112, 113, 114, 116, 117]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [6, 7, 14, 15, 22, 23, 30, 31, 38, 39, 46, 47, 54, 55, 62, 63, 70, 71, 78, 79, 86, 87, 91, 95, 99, 103, 107, 111, 115]}}]
9606
memory
null
9607
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"}}]
9607
axis
0
9608
copy
true
9608
missing_values
"NaN"
9608
strategy
"mean"
9608
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"
9559
verbose
0
9559
categorical_features
null
9611
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
9667
learning_rate
0.04759536746098199
9667
loss
"deviance"
9667
max_depth
9
9667
max_features
0.6403410553013453
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max_leaf_nodes
null
9667
min_impurity_decrease
0.08318417542859036
9667
min_impurity_split
null
9667
min_samples_leaf
11
9667
min_samples_split
4
9667
min_weight_fraction_leaf
0.029543508268120022
9667
n_estimators
155
9667
n_iter_no_change
914
9667
presort
"auto"
9667
random_state
38855
9667
subsample
0.1564721192446108
9667
tol
0.09559717131741036
9667
validation_fraction
0.04861723628893422
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
20982.14574099984
usercpu_time_millis_training
20950.871480999922
usercpu_time_millis_training
20990.59578699962
usercpu_time_millis_training
20989.269380999758
usercpu_time_millis_training
21057.330731000548
usercpu_time_millis_training
21264.10240900077
usercpu_time_millis_training
20805.729006000547
usercpu_time_millis_training
21121.32852099967
usercpu_time_millis_training
21030.92397599903
usercpu_time_millis_training
21036.66868900109
usercpu_time_millis_testing
39.81394000038563
usercpu_time_millis_testing
38.95612499945855
usercpu_time_millis_testing
38.769166998463334
usercpu_time_millis_testing
39.85741099859297
usercpu_time_millis_testing
40.70185999989917
usercpu_time_millis_testing
39.97747799985518
usercpu_time_millis_testing
38.53050600082497
usercpu_time_millis_testing
41.068697999435244
usercpu_time_millis_testing
40.09803000008105
usercpu_time_millis_testing
40.119363000485464
usercpu_time_millis
21021.959681000226
usercpu_time_millis
20989.82760599938
usercpu_time_millis
21029.364953998083
usercpu_time_millis
21029.12679199835
usercpu_time_millis
21098.032591000447
usercpu_time_millis
21304.079887000626
usercpu_time_millis
20844.259512001372
usercpu_time_millis
21162.397218999104
usercpu_time_millis
21071.02200599911
usercpu_time_millis
21076.788052001575
predictive_accuracy
0.95822454308094
predictive_accuracy
0.959094865100087
predictive_accuracy
0.9547432550043516
predictive_accuracy
0.9625761531766753
predictive_accuracy
0.961995938497244
predictive_accuracy
0.9596633778293674
predictive_accuracy
0.9556006964596634
predictive_accuracy
0.963435867672664
predictive_accuracy
0.9605339524085896
predictive_accuracy
0.9550203134068486