59
19163
Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
memory
null
19163
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"}}]
19163
verbose
false
19163
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
priors
null
19164
var_smoothing
1e-09
19164
openml-python
Sklearn_1.0.2.
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0.0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0.0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0.0
usercpu_time_millis_training
0.0
usercpu_time_millis_training
0.0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0.0
wall_clock_time_millis_training
7.974147796630859
wall_clock_time_millis_training
7.015466690063477
wall_clock_time_millis_training
4.997491836547852
wall_clock_time_millis_training
4.974365234375
wall_clock_time_millis_training
3.997802734375
wall_clock_time_millis_training
6.995916366577148
wall_clock_time_millis_training
4.996061325073242
wall_clock_time_millis_training
5.997180938720703
wall_clock_time_millis_training
9.992837905883789
wall_clock_time_millis_training
12.993574142456055
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
15.625
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis
15.625
usercpu_time_millis
0.0
usercpu_time_millis
15.625
usercpu_time_millis
0.0
usercpu_time_millis
15.625
usercpu_time_millis
0.0
usercpu_time_millis
0.0
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
0.0
wall_clock_time_millis_testing
1.9981861114501953
wall_clock_time_millis_testing
3.997325897216797
wall_clock_time_millis_testing
1.9762516021728516
wall_clock_time_millis_testing
2.021312713623047
wall_clock_time_millis_testing
1.9984245300292969
wall_clock_time_millis_testing
2.99835205078125
wall_clock_time_millis_testing
2.9807090759277344
wall_clock_time_millis_testing
2.0012855529785156
wall_clock_time_millis_testing
5.995273590087891
wall_clock_time_millis_testing
5.995988845825195
wall_clock_time_millis
9.972333908081055
wall_clock_time_millis
11.012792587280273
wall_clock_time_millis
6.973743438720703
wall_clock_time_millis
6.995677947998047
wall_clock_time_millis
5.996227264404297
wall_clock_time_millis
9.994268417358398
wall_clock_time_millis
7.976770401000977
wall_clock_time_millis
7.998466491699219
wall_clock_time_millis
15.98811149597168
wall_clock_time_millis
18.98956298828125
predictive_accuracy
0.9333333333333333
predictive_accuracy
1.0
predictive_accuracy
1.0
predictive_accuracy
0.9333333333333333
predictive_accuracy
1.0
predictive_accuracy
0.9333333333333333
predictive_accuracy
1.0
predictive_accuracy
0.8666666666666667
predictive_accuracy
0.9333333333333333
predictive_accuracy
1.0