37
19157
Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
memory
null
19157
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"}}]
19157
verbose
false
19157
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
C
1.0
19158
class_weight
null
19158
dual
false
19158
fit_intercept
true
19158
intercept_scaling
1
19158
l1_ratio
null
19158
max_iter
5000
19158
multi_class
"auto"
19158
n_jobs
null
19158
penalty
"l2"
19158
random_state
4852
19158
solver
"lbfgs"
19158
tol
0.0001
19158
verbose
0
19158
warm_start
false
19158
openml-python
Sklearn_1.0.2.
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0.0
usercpu_time_millis_training
0.0
usercpu_time_millis_training
15.625
wall_clock_time_millis_training
9.991884231567383
wall_clock_time_millis_training
12.014150619506836
wall_clock_time_millis_training
10.99538803100586
wall_clock_time_millis_training
10.017871856689453
wall_clock_time_millis_training
9.994983673095703
wall_clock_time_millis_training
8.973836898803711
wall_clock_time_millis_training
13.992071151733398
wall_clock_time_millis_training
10.993719100952148
wall_clock_time_millis_training
11.01231575012207
wall_clock_time_millis_training
10.994911193847656
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
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
0.0
usercpu_time_millis
0.0
usercpu_time_millis
15.625
wall_clock_time_millis_testing
1.9984245300292969
wall_clock_time_millis_testing
1.9991397857666016
wall_clock_time_millis_testing
1.9989013671875
wall_clock_time_millis_testing
1.9984245300292969
wall_clock_time_millis_testing
1.9989013671875
wall_clock_time_millis_testing
2.000570297241211
wall_clock_time_millis_testing
0.9992122650146484
wall_clock_time_millis_testing
1.9772052764892578
wall_clock_time_millis_testing
1.9996166229248047
wall_clock_time_millis_testing
0.9992122650146484
wall_clock_time_millis
11.99030876159668
wall_clock_time_millis
14.013290405273438
wall_clock_time_millis
12.99428939819336
wall_clock_time_millis
12.01629638671875
wall_clock_time_millis
11.993885040283203
wall_clock_time_millis
10.974407196044922
wall_clock_time_millis
14.991283416748047
wall_clock_time_millis
12.970924377441406
wall_clock_time_millis
13.011932373046875
wall_clock_time_millis
11.994123458862305
predictive_accuracy
0.8441558441558441
predictive_accuracy
0.6883116883116883
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.8311688311688312
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.8051948051948052
predictive_accuracy
0.7894736842105263
predictive_accuracy
0.6973684210526315