3512
9666
memory
null
9666
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}]
9666
n_jobs
null
9606
remainder
"passthrough"
9606
sparse_threshold
0.3
9606
transformer_weights
null
9606
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, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": []}}]
9606
memory
null
9607
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
9607
axis
0
9608
copy
true
9608
missing_values
"NaN"
9608
strategy
"most_frequent"
9608
verbose
0
9608
copy
true
9609
with_mean
true
9609
with_std
true
9609
memory
null
9610
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"}}]
9610
copy
true
9559
fill_value
-1
9559
missing_values
NaN
9559
strategy
"constant"
9559
verbose
0
9559
categorical_features
null
9611
categories
null
9611
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
9611
handle_unknown
"ignore"
9611
n_values
null
9611
sparse
true
9611
threshold
0.0
9612
criterion
"mse"
9667
init
null
9667
learning_rate
0.028370289948868893
9667
loss
"deviance"
9667
max_depth
15
9667
max_features
0.4657115026253592
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.40547731528426334
9667
min_impurity_split
null
9667
min_samples_leaf
19
9667
min_samples_split
11
9667
min_weight_fraction_leaf
0.4245524862070097
9667
n_estimators
99
9667
n_iter_no_change
616
9667
presort
"auto"
9667
random_state
37132
9667
subsample
0.3216168289245769
9667
tol
1.3494992787253135e-05
9667
validation_fraction
0.5496796192192499
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
usercpu_time_millis_training
394.07581099658273
usercpu_time_millis_training
382.0544100017287
usercpu_time_millis_training
365.3010570014885
usercpu_time_millis_training
366.11026600076
usercpu_time_millis_training
364.53924699890194
usercpu_time_millis_training
366.83710900251754
usercpu_time_millis_training
364.9509230017429
usercpu_time_millis_training
365.8326310032862
usercpu_time_millis_training
363.7275450018933
usercpu_time_millis_training
366.52070099808043
usercpu_time_millis_testing
1.229117999173468
usercpu_time_millis_testing
1.153881999925943
usercpu_time_millis_testing
1.1064739992434625
usercpu_time_millis_testing
1.1215209997317288
usercpu_time_millis_testing
1.131122000515461
usercpu_time_millis_testing
1.1200819972145837
usercpu_time_millis_testing
1.1719260000973009
usercpu_time_millis_testing
1.148125000327127
usercpu_time_millis_testing
1.090896999812685
usercpu_time_millis_testing
1.126818999182433
usercpu_time_millis
395.3049289957562
usercpu_time_millis
383.2082920016546
usercpu_time_millis
366.407531000732
usercpu_time_millis
367.23178700049175
usercpu_time_millis
365.6703689994174
usercpu_time_millis
367.9571909997321
usercpu_time_millis
366.1228490018402
usercpu_time_millis
366.98075600361335
usercpu_time_millis
364.818442001706
usercpu_time_millis
367.64751999726286
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666
predictive_accuracy
0.16666666666666666