10101
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
19492
19169
openml-python
Sklearn_1.0.2.
usercpu_time_millis_training
171.875
usercpu_time_millis_training
140.625
usercpu_time_millis_training
125.0
usercpu_time_millis_training
125.0
usercpu_time_millis_training
125.0
usercpu_time_millis_training
140.625
usercpu_time_millis_training
171.875
usercpu_time_millis_training
140.625
usercpu_time_millis_training
125.0
usercpu_time_millis_training
140.625
wall_clock_time_millis_training
171.90122604370117
wall_clock_time_millis_training
141.91746711730957
wall_clock_time_millis_training
132.9190731048584
wall_clock_time_millis_training
135.9412670135498
wall_clock_time_millis_training
130.94687461853027
wall_clock_time_millis_training
136.9001865386963
wall_clock_time_millis_training
182.89494514465332
wall_clock_time_millis_training
136.92021369934082
wall_clock_time_millis_training
131.92152976989746
wall_clock_time_millis_training
140.91873168945312
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
0.0
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis
187.5
usercpu_time_millis
156.25
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
203.125
usercpu_time_millis
156.25
usercpu_time_millis
140.625
usercpu_time_millis
156.25
wall_clock_time_millis_testing
15.990018844604492
wall_clock_time_millis_testing
12.993335723876953
wall_clock_time_millis_testing
12.99595832824707
wall_clock_time_millis_testing
17.968177795410156
wall_clock_time_millis_testing
11.972904205322266
wall_clock_time_millis_testing
12.992143630981445
wall_clock_time_millis_testing
25.983572006225586
wall_clock_time_millis_testing
13.991117477416992
wall_clock_time_millis_testing
11.015892028808594
wall_clock_time_millis_testing
15.992164611816406
wall_clock_time_millis
187.89124488830566
wall_clock_time_millis
154.91080284118652
wall_clock_time_millis
145.91503143310547
wall_clock_time_millis
153.90944480895996
wall_clock_time_millis
142.91977882385254
wall_clock_time_millis
149.89233016967773
wall_clock_time_millis
208.8785171508789
wall_clock_time_millis
150.9113311767578
wall_clock_time_millis
142.93742179870605
wall_clock_time_millis
156.91089630126953
predictive_accuracy
0.8
predictive_accuracy
0.8266666666666667
predictive_accuracy
0.7066666666666667
predictive_accuracy
0.7733333333333333
predictive_accuracy
0.8266666666666667
predictive_accuracy
0.7733333333333333
predictive_accuracy
0.84
predictive_accuracy
0.84
predictive_accuracy
0.8243243243243243
predictive_accuracy
0.7702702702702703