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
171.875
usercpu_time_millis_training
140.625
usercpu_time_millis_training
140.625
usercpu_time_millis_training
125.0
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
wall_clock_time_millis_training
132.92598724365234
wall_clock_time_millis_training
184.8890781402588
wall_clock_time_millis_training
131.9262981414795
wall_clock_time_millis_training
129.9271583557129
wall_clock_time_millis_training
128.93080711364746
wall_clock_time_millis_training
134.92250442504883
wall_clock_time_millis_training
133.92305374145508
wall_clock_time_millis_training
126.94954872131348
wall_clock_time_millis_training
123.93307685852051
wall_clock_time_millis_training
128.92651557922363
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
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
15.625
usercpu_time_millis
140.625
usercpu_time_millis
187.5
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
156.25
usercpu_time_millis
140.625
usercpu_time_millis
140.625
usercpu_time_millis
125.0
usercpu_time_millis
156.25
wall_clock_time_millis_testing
12.994050979614258
wall_clock_time_millis_testing
13.991117477416992
wall_clock_time_millis_testing
12.990951538085938
wall_clock_time_millis_testing
13.988733291625977
wall_clock_time_millis_testing
11.98720932006836
wall_clock_time_millis_testing
13.010978698730469
wall_clock_time_millis_testing
13.992071151733398
wall_clock_time_millis_testing
11.97052001953125
wall_clock_time_millis_testing
11.991500854492188
wall_clock_time_millis_testing
13.988256454467773
wall_clock_time_millis
145.9200382232666
wall_clock_time_millis
198.88019561767578
wall_clock_time_millis
144.91724967956543
wall_clock_time_millis
143.91589164733887
wall_clock_time_millis
140.91801643371582
wall_clock_time_millis
147.9334831237793
wall_clock_time_millis
147.91512489318848
wall_clock_time_millis
138.92006874084473
wall_clock_time_millis
135.9245777130127
wall_clock_time_millis
142.9147720336914
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