146065
19168
Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
memory
null
19168
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"}}]
19168
verbose
false
19168
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
algorithm
"SAMME.R"
19169
base_estimator
null
19169
learning_rate
1.0
19169
n_estimators
50
19169
random_state
0
19169
openml-python
Sklearn_1.0.2.
usercpu_time_millis_training
125.0
usercpu_time_millis_training
187.5
usercpu_time_millis_training
125.0
usercpu_time_millis_training
109.375
usercpu_time_millis_training
125.0
usercpu_time_millis_training
125.0
usercpu_time_millis_training
125.0
usercpu_time_millis_training
125.0
usercpu_time_millis_training
125.0
usercpu_time_millis_training
125.0
wall_clock_time_millis_training
129.92453575134277
wall_clock_time_millis_training
211.87877655029297
wall_clock_time_millis_training
134.94133949279785
wall_clock_time_millis_training
122.90787696838379
wall_clock_time_millis_training
128.90338897705078
wall_clock_time_millis_training
124.95064735412598
wall_clock_time_millis_training
124.92847442626953
wall_clock_time_millis_training
124.92871284484863
wall_clock_time_millis_training
130.92660903930664
wall_clock_time_millis_training
131.90364837646484
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis
140.625
usercpu_time_millis
203.125
usercpu_time_millis
140.625
usercpu_time_millis
125.0
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
140.625
wall_clock_time_millis_testing
13.988256454467773
wall_clock_time_millis_testing
11.970758438110352
wall_clock_time_millis_testing
17.966747283935547
wall_clock_time_millis_testing
11.992454528808594
wall_clock_time_millis_testing
13.991355895996094
wall_clock_time_millis_testing
14.9688720703125
wall_clock_time_millis_testing
14.971494674682617
wall_clock_time_millis_testing
11.996984481811523
wall_clock_time_millis_testing
12.01319694519043
wall_clock_time_millis_testing
11.99030876159668
wall_clock_time_millis
143.91279220581055
wall_clock_time_millis
223.84953498840332
wall_clock_time_millis
152.9080867767334
wall_clock_time_millis
134.90033149719238
wall_clock_time_millis
142.89474487304688
wall_clock_time_millis
139.91951942443848
wall_clock_time_millis
139.89996910095215
wall_clock_time_millis
136.92569732666016
wall_clock_time_millis
142.93980598449707
wall_clock_time_millis
143.89395713806152
predictive_accuracy
0.5737704918032787
predictive_accuracy
0.5166666666666667
predictive_accuracy
0.6333333333333333
predictive_accuracy
0.5833333333333334
predictive_accuracy
0.6166666666666667
predictive_accuracy
0.5666666666666667
predictive_accuracy
0.6333333333333333
predictive_accuracy
0.6333333333333333
predictive_accuracy
0.55
predictive_accuracy
0.5166666666666667