9954
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, 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]}}, {"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
"most_frequent"
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
0.0014095562753471413
9667
loss
"deviance"
9667
max_depth
17
9667
max_features
0.18131264848673978
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.7465863349830235
9667
min_impurity_split
null
9667
min_samples_leaf
16
9667
min_samples_split
5
9667
min_weight_fraction_leaf
0.45933058386636755
9667
n_estimators
1310
9667
n_iter_no_change
928
9667
presort
"auto"
9667
random_state
48148
9667
subsample
0.21337970175046206
9667
tol
3.24765388969225e-05
9667
validation_fraction
0.76540852938491
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
54284.084018000154
usercpu_time_millis_training
54353.99574400026
usercpu_time_millis_training
54230.621982999764
usercpu_time_millis_training
54478.50098700019
usercpu_time_millis_training
54616.64140899984
usercpu_time_millis_training
54398.31892100028
usercpu_time_millis_training
54625.27888700015
usercpu_time_millis_training
54560.495279999945
usercpu_time_millis_training
54534.68151300012
usercpu_time_millis_training
54436.16251599997
usercpu_time_millis_testing
42.45582099974854
usercpu_time_millis_testing
44.54845700001897
usercpu_time_millis_testing
53.575577000174235
usercpu_time_millis_testing
53.28477400007614
usercpu_time_millis_testing
59.08828400015409
usercpu_time_millis_testing
56.62347099996623
usercpu_time_millis_testing
44.613322999794036
usercpu_time_millis_testing
44.536754000091605
usercpu_time_millis_testing
44.4667959995968
usercpu_time_millis_testing
43.58314799992513
usercpu_time_millis
54326.5398389999
usercpu_time_millis
54398.54420100028
usercpu_time_millis
54284.19755999994
usercpu_time_millis
54531.78576100027
usercpu_time_millis
54675.729693
usercpu_time_millis
54454.942392000245
usercpu_time_millis
54669.89220999995
usercpu_time_millis
54605.03203400003
usercpu_time_millis
54579.14830899972
usercpu_time_millis
54479.74566399989
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.00625
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125
predictive_accuracy
0.0125