9957
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]}}, {"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
0.0013565119189106868
9667
loss
"deviance"
9667
max_depth
18
9667
max_features
0.555367034693273
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max_leaf_nodes
null
9667
min_impurity_decrease
0.04134516225089635
9667
min_impurity_split
null
9667
min_samples_leaf
11
9667
min_samples_split
19
9667
min_weight_fraction_leaf
0.21870248042979862
9667
n_estimators
699
9667
n_iter_no_change
814
9667
presort
"auto"
9667
random_state
37151
9667
subsample
0.49976561315751333
9667
tol
0.0024526689949198256
9667
validation_fraction
0.7594038792067181
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
461.2044560017239
usercpu_time_millis_training
437.1028519999527
usercpu_time_millis_training
418.0719469986798
usercpu_time_millis_training
418.6426569976902
usercpu_time_millis_training
414.243859002454
usercpu_time_millis_training
406.22161099963705
usercpu_time_millis_training
409.3960040008824
usercpu_time_millis_training
408.79784999924595
usercpu_time_millis_training
408.46253799827537
usercpu_time_millis_training
414.0461269998923
usercpu_time_millis_testing
1.3974719986435957
usercpu_time_millis_testing
1.2252560009073932
usercpu_time_millis_testing
1.1465019997558556
usercpu_time_millis_testing
1.1821150001196656
usercpu_time_millis_testing
1.1383150012989063
usercpu_time_millis_testing
1.113084003009135
usercpu_time_millis_testing
1.7638749995967373
usercpu_time_millis_testing
1.1978030015598051
usercpu_time_millis_testing
1.314217999606626
usercpu_time_millis_testing
1.1831079973489977
usercpu_time_millis
462.6019280003675
usercpu_time_millis
438.3281080008601
usercpu_time_millis
419.21844899843563
usercpu_time_millis
419.8247719978099
usercpu_time_millis
415.3821740037529
usercpu_time_millis
407.3346950026462
usercpu_time_millis
411.1598790004791
usercpu_time_millis
409.99565300080576
usercpu_time_millis
409.776755997882
usercpu_time_millis
415.2292349972413
predictive_accuracy
0.660377358490566
predictive_accuracy
0.660377358490566
predictive_accuracy
0.660377358490566
predictive_accuracy
0.660377358490566
predictive_accuracy
0.660377358490566
predictive_accuracy
0.6666666666666666
predictive_accuracy
0.6666666666666666
predictive_accuracy
0.6666666666666666
predictive_accuracy
0.6666666666666666
predictive_accuracy
0.6571428571428571