9983
19167
Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
memory
null
19167
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"}}]
19167
verbose
false
19167
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
bootstrap
true
19095
ccp_alpha
0.0
19095
class_weight
null
19095
criterion
"gini"
19095
max_depth
null
19095
max_features
"auto"
19095
max_leaf_nodes
null
19095
max_samples
null
19095
min_impurity_decrease
0.0
19095
min_samples_leaf
1
19095
min_samples_split
2
19095
min_weight_fraction_leaf
0.0
19095
n_estimators
100
19095
n_jobs
null
19095
oob_score
false
19095
random_state
0
19095
verbose
0
19095
warm_start
false
19095
openml-python
Sklearn_1.0.2.
usercpu_time_millis_training
2687.5
usercpu_time_millis_training
2718.75
usercpu_time_millis_training
2906.25
usercpu_time_millis_training
2687.5
usercpu_time_millis_training
2687.5
usercpu_time_millis_training
2687.5
usercpu_time_millis_training
2656.25
usercpu_time_millis_training
2687.5
usercpu_time_millis_training
2687.5
usercpu_time_millis_training
2703.125
wall_clock_time_millis_training
2694.504737854004
wall_clock_time_millis_training
2740.412950515747
wall_clock_time_millis_training
2903.3608436584473
wall_clock_time_millis_training
2688.457727432251
wall_clock_time_millis_training
2679.4655323028564
wall_clock_time_millis_training
2689.47696685791
wall_clock_time_millis_training
2670.466184616089
wall_clock_time_millis_training
2689.4564628601074
wall_clock_time_millis_training
2689.457893371582
wall_clock_time_millis_training
2715.442419052124
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
46.875
usercpu_time_millis
2734.375
usercpu_time_millis
2765.625
usercpu_time_millis
2953.125
usercpu_time_millis
2734.375
usercpu_time_millis
2734.375
usercpu_time_millis
2734.375
usercpu_time_millis
2718.75
usercpu_time_millis
2750.0
usercpu_time_millis
2734.375
usercpu_time_millis
2750.0
wall_clock_time_millis_testing
50.971031188964844
wall_clock_time_millis_testing
49.974679946899414
wall_clock_time_millis_testing
50.97031593322754
wall_clock_time_millis_testing
50.971269607543945
wall_clock_time_millis_testing
51.99098587036133
wall_clock_time_millis_testing
50.95243453979492
wall_clock_time_millis_testing
50.97365379333496
wall_clock_time_millis_testing
48.96998405456543
wall_clock_time_millis_testing
50.99320411682129
wall_clock_time_millis_testing
51.971435546875
wall_clock_time_millis
2745.4757690429688
wall_clock_time_millis
2790.3876304626465
wall_clock_time_millis
2954.331159591675
wall_clock_time_millis
2739.428997039795
wall_clock_time_millis
2731.456518173218
wall_clock_time_millis
2740.429401397705
wall_clock_time_millis
2721.439838409424
wall_clock_time_millis
2738.426446914673
wall_clock_time_millis
2740.4510974884033
wall_clock_time_millis
2767.413854598999
predictive_accuracy
0.931909212283044
predictive_accuracy
0.937917222963952
predictive_accuracy
0.9412550066755674
predictive_accuracy
0.9252336448598131
predictive_accuracy
0.9285714285714286
predictive_accuracy
0.9359145527369827
predictive_accuracy
0.9399198931909212
predictive_accuracy
0.931909212283044
predictive_accuracy
0.931909212283044
predictive_accuracy
0.9339118825100133