119
34980
Python_3.8.18. Sklearn_0.23.1. NumPy_1.23.5. SciPy_1.10.1.
cv
3
34980
error_score
NaN
34980
iid
"deprecated"
34980
n_jobs
null
34980
param_grid
{"base_estimator__C": [0.01, 0.1, 10], "base_estimator__gamma": [0.01, 0.1, 10]}
34980
pre_dispatch
"2*n_jobs"
34980
refit
true
34980
return_train_score
false
34980
scoring
null
34980
verbose
0
34980
bootstrap
true
34981
bootstrap_features
false
34981
max_features
1.0
34981
max_samples
1.0
34981
n_estimators
10
34981
n_jobs
null
34981
oob_score
false
34981
random_state
33003
34981
verbose
0
34981
warm_start
false
34981
C
1.0
34982
break_ties
false
34982
cache_size
200
34982
class_weight
null
34982
coef0
0.0
34982
decision_function_shape
"ovr"
34982
degree
3
34982
gamma
"scale"
34982
kernel
"rbf"
34982
max_iter
-1
34982
probability
false
34982
random_state
62501
34982
shrinking
true
34982
tol
0.001
34982
verbose
false
34982
openml-python
Sklearn_0.23.1.
usercpu_time_millis_training
1499.5305000000058
wall_clock_time_millis_training
1499.704360961914
usercpu_time_millis_testing
18.35619999999949
usercpu_time_millis
1517.8867000000052
wall_clock_time_millis_testing
18.361568450927734
wall_clock_time_millis
1567.483901977539
predictive_accuracy
0.6482213438735178