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
"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
0.0004874019260286433
9667
loss
"deviance"
9667
max_depth
24
9667
max_features
0.663008544229847
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.6683075747062874
9667
min_impurity_split
null
9667
min_samples_leaf
1
9667
min_samples_split
12
9667
min_weight_fraction_leaf
0.234103412340958
9667
n_estimators
77
9667
n_iter_no_change
123
9667
presort
"auto"
9667
random_state
37735
9667
subsample
0.482842306858995
9667
tol
0.00828986129715404
9667
validation_fraction
0.21906569436436363
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
10328.46905399856
usercpu_time_millis_training
8998.282507000113
usercpu_time_millis_training
10756.175950000397
usercpu_time_millis_training
10523.78335800131
usercpu_time_millis_training
12795.408973999656
usercpu_time_millis_training
11264.008137000928
usercpu_time_millis_training
10839.991845999975
usercpu_time_millis_training
9525.259598000048
usercpu_time_millis_training
10274.436940999294
usercpu_time_millis_training
11518.301195001186
usercpu_time_millis_testing
20.804716999919037
usercpu_time_millis_testing
12.665255000683828
usercpu_time_millis_testing
25.468150999586214
usercpu_time_millis_testing
33.11300399946049
usercpu_time_millis_testing
40.99111100003938
usercpu_time_millis_testing
16.825635999339283
usercpu_time_millis_testing
31.37689300092461
usercpu_time_millis_testing
30.51013000003877
usercpu_time_millis_testing
27.249751999988803
usercpu_time_millis_testing
28.66734000053839
usercpu_time_millis
10349.27377099848
usercpu_time_millis
9010.947762000797
usercpu_time_millis
10781.644100999983
usercpu_time_millis
10556.89636200077
usercpu_time_millis
12836.400084999696
usercpu_time_millis
11280.833773000268
usercpu_time_millis
10871.3687390009
usercpu_time_millis
9555.769728000087
usercpu_time_millis
10301.686692999283
usercpu_time_millis
11546.968535001724
predictive_accuracy
0.565
predictive_accuracy
0.6
predictive_accuracy
0.625
predictive_accuracy
0.615
predictive_accuracy
0.595
predictive_accuracy
0.625
predictive_accuracy
0.63
predictive_accuracy
0.625
predictive_accuracy
0.63
predictive_accuracy
0.58