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
"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
"friedman_mse"
9667
init
null
9667
learning_rate
3.874632522537657e-05
9667
loss
"deviance"
9667
max_depth
24
9667
max_features
0.1003525448881396
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max_leaf_nodes
null
9667
min_impurity_decrease
0.032574278077526
9667
min_impurity_split
null
9667
min_samples_leaf
17
9667
min_samples_split
18
9667
min_weight_fraction_leaf
0.32767322294803186
9667
n_estimators
80
9667
n_iter_no_change
1152
9667
presort
"auto"
9667
random_state
5218
9667
subsample
0.8745855903795267
9667
tol
0.0005437402767212085
9667
validation_fraction
0.552239829262143
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
7326.0514569992665
usercpu_time_millis_training
7313.187728999765
usercpu_time_millis_training
7212.898072000826
usercpu_time_millis_training
7254.902747001324
usercpu_time_millis_training
7258.407127003011
usercpu_time_millis_training
7277.728077002394
usercpu_time_millis_training
7270.458569997572
usercpu_time_millis_training
7289.197489000799
usercpu_time_millis_training
7271.408680004242
usercpu_time_millis_training
7259.918443996867
usercpu_time_millis_testing
13.124603996402584
usercpu_time_millis_testing
12.143310996179935
usercpu_time_millis_testing
12.297861001570709
usercpu_time_millis_testing
12.030580997816287
usercpu_time_millis_testing
12.389094998070505
usercpu_time_millis_testing
12.529747997177765
usercpu_time_millis_testing
12.677776998316403
usercpu_time_millis_testing
12.789307998900767
usercpu_time_millis_testing
13.835263001965359
usercpu_time_millis_testing
12.878567998996004
usercpu_time_millis
7339.176060995669
usercpu_time_millis
7325.331039995945
usercpu_time_millis
7225.1959330023965
usercpu_time_millis
7266.933327999141
usercpu_time_millis
7270.796222001081
usercpu_time_millis
7290.257824999571
usercpu_time_millis
7283.136346995889
usercpu_time_millis
7301.986796999699
usercpu_time_millis
7285.243943006208
usercpu_time_millis
7272.797011995863
predictive_accuracy
0.05
predictive_accuracy
0.05
predictive_accuracy
0.05
predictive_accuracy
0.0625
predictive_accuracy
0.04375
predictive_accuracy
0.05
predictive_accuracy
0.09375
predictive_accuracy
0.08125
predictive_accuracy
0.08125
predictive_accuracy
0.06875