14
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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, 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]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": []}}]
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
"median"
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
"mse"
9667
init
null
9667
learning_rate
0.008148128272030413
9667
loss
"deviance"
9667
max_depth
19
9667
max_features
0.9570088777243443
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.8282523664727265
9667
min_impurity_split
null
9667
min_samples_leaf
6
9667
min_samples_split
19
9667
min_weight_fraction_leaf
0.12072521233196515
9667
n_estimators
142
9667
n_iter_no_change
2029
9667
presort
"auto"
9667
random_state
62257
9667
subsample
0.7714638223189142
9667
tol
0.03118035849912603
9667
validation_fraction
0.6973970861113006
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
2270.5871539999976
usercpu_time_millis_training
2224.5474730000296
usercpu_time_millis_training
2215.31215899995
usercpu_time_millis_training
2225.6014660000005
usercpu_time_millis_training
2230.348155999991
usercpu_time_millis_training
2277.859964000015
usercpu_time_millis_training
2223.4637009999574
usercpu_time_millis_training
2239.2274179999845
usercpu_time_millis_training
2236.7708340000263
usercpu_time_millis_training
2228.429829999982
usercpu_time_millis_testing
2.2901300000057745
usercpu_time_millis_testing
2.1945379999692705
usercpu_time_millis_testing
2.400385000044025
usercpu_time_millis_testing
2.4071249999906286
usercpu_time_millis_testing
2.4191790000145375
usercpu_time_millis_testing
2.4198689999934686
usercpu_time_millis_testing
2.5347979999992276
usercpu_time_millis_testing
2.3036830000364716
usercpu_time_millis_testing
2.533741000036116
usercpu_time_millis_testing
2.297916000031819
usercpu_time_millis
2272.8772840000033
usercpu_time_millis
2226.742010999999
usercpu_time_millis
2217.712543999994
usercpu_time_millis
2228.008590999991
usercpu_time_millis
2232.7673350000055
usercpu_time_millis
2280.2798330000087
usercpu_time_millis
2225.9984989999566
usercpu_time_millis
2241.531101000021
usercpu_time_millis
2239.3045750000624
usercpu_time_millis
2230.7277460000137
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1