49
16366
memory
null
16366
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"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16366
verbose
false
16366
add_indicator
false
16358
copy
true
16358
fill_value
null
16358
missing_values
NaN
16358
strategy
"most_frequent"
16358
verbose
0
16358
categorical_features
null
16365
categories
null
16365
drop
null
16365
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
16365
handle_unknown
"ignore"
16365
n_values
null
16365
sparse
true
16365
C
7.860191811692204
16360
cache_size
200
16360
class_weight
null
16360
coef0
0.0
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.0419767116916057
16360
kernel
"rbf"
16360
max_iter
-1
16360
probability
false
16360
random_state
1
16360
shrinking
true
16360
tol
0.001
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
usercpu_time_millis_training
195.28600000194274
usercpu_time_millis_training
180.70600000282866
usercpu_time_millis_training
203.70200000252225
usercpu_time_millis_training
190.47000000136904
usercpu_time_millis_training
181.0379999988072
usercpu_time_millis_training
208.63200000167126
usercpu_time_millis_training
185.6919999991078
usercpu_time_millis_training
165.99800000039977
usercpu_time_millis_training
196.28000000011525
usercpu_time_millis_training
187.53999999898952
wall_clock_time_millis_training
107.92422294616699
wall_clock_time_millis_training
95.58296203613281
wall_clock_time_millis_training
115.65423011779785
wall_clock_time_millis_training
101.02486610412598
wall_clock_time_millis_training
96.32706642150879
wall_clock_time_millis_training
125.47898292541504
wall_clock_time_millis_training
114.07899856567383
wall_clock_time_millis_training
102.80084609985352
wall_clock_time_millis_training
128.7238597869873
wall_clock_time_millis_training
116.64533615112305
usercpu_time_millis_testing
10.733999999501975
usercpu_time_millis_testing
7.202000000688713
usercpu_time_millis_testing
14.74199999938719
usercpu_time_millis_testing
11.198000000149477
usercpu_time_millis_testing
9.027999996760627
usercpu_time_millis_testing
10.013999999500811
usercpu_time_millis_testing
8.54599999729544
usercpu_time_millis_testing
7.541999999375548
usercpu_time_millis_testing
8.266000000730855
usercpu_time_millis_testing
12.431999999535037
usercpu_time_millis
206.0200000014447
usercpu_time_millis
187.90800000351737
usercpu_time_millis
218.44400000190944
usercpu_time_millis
201.66800000151852
usercpu_time_millis
190.06599999556784
usercpu_time_millis
218.64600000117207
usercpu_time_millis
194.23799999640323
usercpu_time_millis
173.53999999977532
usercpu_time_millis
204.5460000008461
usercpu_time_millis
199.97199999852455
wall_clock_time_millis_testing
5.50389289855957
wall_clock_time_millis_testing
3.6051273345947266
wall_clock_time_millis_testing
8.712291717529297
wall_clock_time_millis_testing
6.030082702636719
wall_clock_time_millis_testing
5.321025848388672
wall_clock_time_millis_testing
5.011796951293945
wall_clock_time_millis_testing
4.633188247680664
wall_clock_time_millis_testing
3.821134567260742
wall_clock_time_millis_testing
4.184961318969727
wall_clock_time_millis_testing
6.999015808105469
wall_clock_time_millis
113.42811584472656
wall_clock_time_millis
99.18808937072754
wall_clock_time_millis
124.36652183532715
wall_clock_time_millis
107.0549488067627
wall_clock_time_millis
101.64809226989746
wall_clock_time_millis
130.49077987670898
wall_clock_time_millis
118.71218681335449
wall_clock_time_millis
106.62198066711426
wall_clock_time_millis
132.90882110595703
wall_clock_time_millis
123.64435195922852
predictive_accuracy
0.9583333333333334
predictive_accuracy
1.0
predictive_accuracy
1.0
predictive_accuracy
0.9791666666666666
predictive_accuracy
0.9895833333333334
predictive_accuracy
0.9791666666666666
predictive_accuracy
0.9791666666666666
predictive_accuracy
0.9791666666666666
predictive_accuracy
0.9789473684210527
predictive_accuracy
0.9894736842105263