5
18983
Python_3.7.3. Sklearn_0.20.0. NumPy_1.21.5. SciPy_1.7.3.
memory
null
18983
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": "decisiontreeclassifier", "step_name": "decisiontreeclassifier"}}]
18983
n_jobs
null
18952
remainder
"passthrough"
18952
sparse_threshold
0.3
18952
transformer_weights
null
18952
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [0, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 27, 28, 29, 30, 31, 32, 39, 40, 41, 42, 43, 44, 51, 52, 53, 54, 55, 56, 63, 64, 65, 66, 67, 68, 75, 76, 77, 78, 79, 80, 87, 88, 89, 90, 91, 92, 99, 100, 101, 102, 103, 104, 111, 112, 113, 114, 115, 116, 123, 124, 125, 126, 127, 128, 135, 136, 137, 138, 139, 140, 147, 148, 149, 150, 151, 152, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [1, 21, 22, 23, 24, 25, 26, 33, 34, 35, 36, 37, 38, 45, 46, 47, 48, 49, 50, 57, 58, 59, 60, 61, 62, 69, 70, 71, 72, 73, 74, 81, 82, 83, 84, 85, 86, 93, 94, 95, 96, 97, 98, 105, 106, 107, 108, 109, 110, 117, 118, 119, 120, 121, 122, 129, 130, 131, 132, 133, 134, 141, 142, 143, 144, 145, 146, 153, 154, 155, 156, 157, 158]}}]
18952
memory
null
18953
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"}}]
18953
axis
0
18954
copy
true
18954
missing_values
"NaN"
18954
strategy
"mean"
18954
verbose
0
18954
copy
true
18955
with_mean
true
18955
with_std
true
18955
memory
null
18956
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"}}]
18956
copy
true
18957
fill_value
-1
18957
missing_values
NaN
18957
strategy
"constant"
18957
verbose
0
18957
categorical_features
null
18958
categories
null
18958
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
18958
handle_unknown
"ignore"
18958
n_values
null
18958
sparse
true
18958
threshold
0.0
18959
class_weight
null
18971
criterion
"gini"
18971
max_depth
null
18971
max_features
1.0
18971
max_leaf_nodes
null
18971
min_impurity_decrease
0.0
18971
min_impurity_split
null
18971
min_samples_leaf
2
18971
min_samples_split
2
18971
min_weight_fraction_leaf
0.0
18971
presort
false
18971
random_state
0
18971
splitter
"best"
18971
openml-python
Sklearn_0.20.0.
usercpu_time_millis_training
78.125
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
wall_clock_time_millis_training
69.20790672302246
wall_clock_time_millis_training
60.137271881103516
wall_clock_time_millis_training
64.17059898376465
wall_clock_time_millis_training
65.14692306518555
wall_clock_time_millis_training
62.16549873352051
wall_clock_time_millis_training
62.46042251586914
wall_clock_time_millis_training
62.135934829711914
wall_clock_time_millis_training
64.14484977722168
wall_clock_time_millis_training
66.17403030395508
wall_clock_time_millis_training
61.162471771240234
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
0.0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
15.625
usercpu_time_millis
78.125
usercpu_time_millis
78.125
usercpu_time_millis
78.125
usercpu_time_millis
78.125
usercpu_time_millis
62.5
usercpu_time_millis
78.125
usercpu_time_millis
62.5
usercpu_time_millis
78.125
usercpu_time_millis
62.5
usercpu_time_millis
78.125
wall_clock_time_millis_testing
8.998632431030273
wall_clock_time_millis_testing
9.018898010253906
wall_clock_time_millis_testing
10.02812385559082
wall_clock_time_millis_testing
10.055065155029297
wall_clock_time_millis_testing
10.026931762695312
wall_clock_time_millis_testing
10.05697250366211
wall_clock_time_millis_testing
10.056018829345703
wall_clock_time_millis_testing
10.022878646850586
wall_clock_time_millis_testing
8.997440338134766
wall_clock_time_millis_testing
10.028839111328125
wall_clock_time_millis
78.20653915405273
wall_clock_time_millis
69.15616989135742
wall_clock_time_millis
74.19872283935547
wall_clock_time_millis
75.20198822021484
wall_clock_time_millis
72.19243049621582
wall_clock_time_millis
72.51739501953125
wall_clock_time_millis
72.19195365905762
wall_clock_time_millis
74.16772842407227
wall_clock_time_millis
75.17147064208984
wall_clock_time_millis
71.19131088256836
predictive_accuracy
0.5217391304347826
predictive_accuracy
0.5434782608695652
predictive_accuracy
0.5555555555555556
predictive_accuracy
0.5777777777777777
predictive_accuracy
0.6888888888888889
predictive_accuracy
0.6
predictive_accuracy
0.5333333333333333
predictive_accuracy
0.5555555555555556
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.6666666666666666