146065
19170
Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
memory
null
19170
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}]
19170
verbose
false
19170
memory
null
19156
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}]
19156
verbose
false
19156
add_indicator
false
19084
copy
true
19084
fill_value
null
19084
missing_values
NaN
19084
strategy
"mean"
19084
verbose
0
19084
copy
true
19075
with_mean
true
19075
with_std
true
19075
ccp_alpha
0.0
19171
criterion
"friedman_mse"
19171
init
null
19171
learning_rate
0.1
19171
loss
"deviance"
19171
max_depth
3
19171
max_features
null
19171
max_leaf_nodes
null
19171
min_impurity_decrease
0.0
19171
min_samples_leaf
1
19171
min_samples_split
2
19171
min_weight_fraction_leaf
0.0
19171
n_estimators
100
19171
n_iter_no_change
null
19171
random_state
60093
19171
subsample
1.0
19171
tol
0.0001
19171
validation_fraction
0.1
19171
verbose
0
19171
warm_start
false
19171
openml-python
Sklearn_1.0.2.
usercpu_time_millis_training
109.375
usercpu_time_millis_training
125.0
usercpu_time_millis_training
109.375
usercpu_time_millis_training
109.375
usercpu_time_millis_training
93.75
usercpu_time_millis_training
109.375
usercpu_time_millis_training
109.375
usercpu_time_millis_training
109.375
usercpu_time_millis_training
109.375
usercpu_time_millis_training
93.75
wall_clock_time_millis_training
108.93845558166504
wall_clock_time_millis_training
117.90895462036133
wall_clock_time_millis_training
105.93605041503906
wall_clock_time_millis_training
112.93435096740723
wall_clock_time_millis_training
115.93389511108398
wall_clock_time_millis_training
110.91303825378418
wall_clock_time_millis_training
107.93638229370117
wall_clock_time_millis_training
107.93662071228027
wall_clock_time_millis_training
105.91888427734375
wall_clock_time_millis_training
108.95586013793945
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
15.625
usercpu_time_millis
109.375
usercpu_time_millis
125.0
usercpu_time_millis
109.375
usercpu_time_millis
109.375
usercpu_time_millis
93.75
usercpu_time_millis
109.375
usercpu_time_millis
125.0
usercpu_time_millis
109.375
usercpu_time_millis
109.375
usercpu_time_millis
109.375
wall_clock_time_millis_testing
3.9958953857421875
wall_clock_time_millis_testing
2.99835205078125
wall_clock_time_millis_testing
2.99835205078125
wall_clock_time_millis_testing
5.997180938720703
wall_clock_time_millis_testing
2.9976367950439453
wall_clock_time_millis_testing
2.998828887939453
wall_clock_time_millis_testing
4.998445510864258
wall_clock_time_millis_testing
4.02069091796875
wall_clock_time_millis_testing
4.016876220703125
wall_clock_time_millis_testing
4.9991607666015625
wall_clock_time_millis
112.93435096740723
wall_clock_time_millis
120.90730667114258
wall_clock_time_millis
108.93440246582031
wall_clock_time_millis
118.93153190612793
wall_clock_time_millis
118.93153190612793
wall_clock_time_millis
113.91186714172363
wall_clock_time_millis
112.93482780456543
wall_clock_time_millis
111.95731163024902
wall_clock_time_millis
109.93576049804688
wall_clock_time_millis
113.95502090454102
predictive_accuracy
0.9180327868852459
predictive_accuracy
0.7833333333333333
predictive_accuracy
0.8
predictive_accuracy
0.8333333333333334
predictive_accuracy
0.9166666666666666
predictive_accuracy
0.8166666666666667
predictive_accuracy
0.8833333333333333
predictive_accuracy
0.8666666666666667
predictive_accuracy
0.9166666666666666
predictive_accuracy
0.8