2273
17579
memory
null
17579
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "adaboostclassifier", "step_name": "adaboostclassifier"}}]
17579
n_jobs
null
17580
remainder
"passthrough"
17580
sparse_threshold
0.3
17580
transformer_weights
null
17580
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": []}}]
17580
memory
null
17581
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "missingindicator", "step_name": "missingindicator"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
17581
error_on_new
false
17582
features
"missing-only"
17582
missing_values
NaN
17582
sparse
"auto"
17582
axis
0
17583
copy
true
17583
missing_values
"NaN"
17583
strategy
"median"
17583
verbose
0
17583
copy
true
17584
with_mean
true
17584
with_std
true
17584
memory
null
17585
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
17585
copy
true
17586
fill_value
-1
17586
missing_values
NaN
17586
strategy
"constant"
17586
verbose
0
17586
categorical_features
null
17587
categories
null
17587
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
17587
handle_unknown
"ignore"
17587
n_values
null
17587
sparse
true
17587
algorithm
"SAMME.R"
17588
learning_rate
0.01810332414475016
17588
n_estimators
71
17588
random_state
45255
17588
class_weight
null
17589
criterion
"gini"
17589
max_depth
9
17589
max_features
null
17589
max_leaf_nodes
null
17589
min_impurity_decrease
0.0
17589
min_impurity_split
null
17589
min_samples_leaf
1
17589
min_samples_split
2
17589
min_weight_fraction_leaf
0.0
17589
presort
false
17589
random_state
16546
17589
splitter
"best"
17589
openml-python
Sklearn_0.20.0.
usercpu_time_millis_training
6.657223000001267
usercpu_time_millis_training
6.117573999999237
usercpu_time_millis_training
6.51141200000005
usercpu_time_millis_training
6.265636999998492
usercpu_time_millis_training
6.092504999999804
usercpu_time_millis_training
6.492422000000886
usercpu_time_millis_training
6.246253999998785
usercpu_time_millis_training
6.816030000001305
usercpu_time_millis_training
6.652831999998554
usercpu_time_millis_training
6.650108000000543
wall_clock_time_millis_training
6.271839141845703
wall_clock_time_millis_training
5.789279937744141
wall_clock_time_millis_training
6.4029693603515625
wall_clock_time_millis_training
5.9947967529296875
wall_clock_time_millis_training
5.811214447021484
wall_clock_time_millis_training
6.260871887207031
wall_clock_time_millis_training
5.939245223999023
wall_clock_time_millis_training
6.515741348266602
wall_clock_time_millis_training
6.430149078369141
wall_clock_time_millis_training
6.470680236816406
usercpu_time_millis_testing
0.8287189999993672
usercpu_time_millis_testing
0.9993759999993301
usercpu_time_millis_testing
0.8296569999988179
usercpu_time_millis_testing
0.8985819999995925
usercpu_time_millis_testing
0.8017389999999125
usercpu_time_millis_testing
1.0201119999990738
usercpu_time_millis_testing
0.9730609999998308
usercpu_time_millis_testing
0.8453440000000256
usercpu_time_millis_testing
0.8495980000002845
usercpu_time_millis_testing
1.1040009999998546
usercpu_time_millis
7.485942000000634
usercpu_time_millis
7.1169499999985675
usercpu_time_millis
7.341068999998868
usercpu_time_millis
7.164218999998084
usercpu_time_millis
6.894243999999716
usercpu_time_millis
7.51253399999996
usercpu_time_millis
7.219314999998616
usercpu_time_millis
7.661374000001331
usercpu_time_millis
7.502429999998839
usercpu_time_millis
7.754109000000398
wall_clock_time_millis_testing
0.83160400390625
wall_clock_time_millis_testing
1.0175704956054688
wall_clock_time_millis_testing
0.8330345153808594
wall_clock_time_millis_testing
0.9026527404785156
wall_clock_time_millis_testing
0.8051395416259766
wall_clock_time_millis_testing
1.0328292846679688
wall_clock_time_millis_testing
0.9891986846923828
wall_clock_time_millis_testing
0.8485317230224609
wall_clock_time_millis_testing
0.8535385131835938
wall_clock_time_millis_testing
1.1076927185058594
wall_clock_time_millis
7.103443145751953
wall_clock_time_millis
6.806850433349609
wall_clock_time_millis
7.236003875732422
wall_clock_time_millis
6.897449493408203
wall_clock_time_millis
6.616353988647461
wall_clock_time_millis
7.293701171875
wall_clock_time_millis
6.928443908691406
wall_clock_time_millis
7.3642730712890625
wall_clock_time_millis
7.283687591552734
wall_clock_time_millis
7.578372955322266
predictive_accuracy
0.625
predictive_accuracy
0.625
predictive_accuracy
0.25
predictive_accuracy
0.5
predictive_accuracy
0.5714285714285714
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.42857142857142855
predictive_accuracy
0.5714285714285714