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
1
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
78.125
usercpu_time_millis_training
78.125
usercpu_time_millis_training
78.125
usercpu_time_millis_training
78.125
usercpu_time_millis_training
78.125
wall_clock_time_millis_training
106.35972023010254
wall_clock_time_millis_training
65.19794464111328
wall_clock_time_millis_training
68.18222999572754
wall_clock_time_millis_training
72.19171524047852
wall_clock_time_millis_training
70.18709182739258
wall_clock_time_millis_training
80.21140098571777
wall_clock_time_millis_training
76.2026309967041
wall_clock_time_millis_training
75.19745826721191
wall_clock_time_millis_training
82.21817016601562
wall_clock_time_millis_training
76.2021541595459
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
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0.0
usercpu_time_millis
93.75
usercpu_time_millis
78.125
usercpu_time_millis
78.125
usercpu_time_millis
78.125
usercpu_time_millis
78.125
usercpu_time_millis
78.125
usercpu_time_millis
93.75
usercpu_time_millis
93.75
usercpu_time_millis
93.75
usercpu_time_millis
78.125
wall_clock_time_millis_testing
12.03465461730957
wall_clock_time_millis_testing
10.027170181274414
wall_clock_time_millis_testing
9.024620056152344
wall_clock_time_millis_testing
10.026931762695312
wall_clock_time_millis_testing
9.999275207519531
wall_clock_time_millis_testing
9.025096893310547
wall_clock_time_millis_testing
10.027647018432617
wall_clock_time_millis_testing
11.03067398071289
wall_clock_time_millis_testing
10.027647018432617
wall_clock_time_millis_testing
12.032508850097656
wall_clock_time_millis
118.39437484741211
wall_clock_time_millis
75.2251148223877
wall_clock_time_millis
77.20685005187988
wall_clock_time_millis
82.21864700317383
wall_clock_time_millis
80.18636703491211
wall_clock_time_millis
89.23649787902832
wall_clock_time_millis
86.23027801513672
wall_clock_time_millis
86.2281322479248
wall_clock_time_millis
92.24581718444824
wall_clock_time_millis
88.23466300964355
predictive_accuracy
0.5217391304347826
predictive_accuracy
0.5
predictive_accuracy
0.5777777777777777
predictive_accuracy
0.6
predictive_accuracy
0.6444444444444445
predictive_accuracy
0.6666666666666666
predictive_accuracy
0.6444444444444445
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.6666666666666666