119
33605
Python_3.8.18. Sklearn_0.23.1. NumPy_1.23.5. SciPy_1.10.1.
cv
3
33605
error_score
NaN
33605
iid
"deprecated"
33605
n_jobs
null
33605
param_grid
{"base_estimator__C": [0.01, 0.1, 10], "base_estimator__gamma": [0.01, 0.1, 10]}
33605
pre_dispatch
"2*n_jobs"
33605
refit
true
33605
return_train_score
false
33605
scoring
null
33605
verbose
0
33605
bootstrap
true
33606
bootstrap_features
false
33606
max_features
1.0
33606
max_samples
1.0
33606
n_estimators
10
33606
n_jobs
null
33606
oob_score
false
33606
random_state
33003
33606
verbose
0
33606
warm_start
false
33606
C
1.0
33607
break_ties
false
33607
cache_size
200
33607
class_weight
null
33607
coef0
0.0
33607
decision_function_shape
"ovr"
33607
degree
3
33607
gamma
"scale"
33607
kernel
"rbf"
33607
max_iter
-1
33607
probability
false
33607
random_state
62501
33607
shrinking
true
33607
tol
0.001
33607
verbose
false
33607
openml-python
Sklearn_0.23.1.
usercpu_time_millis_training
1412.3228999999924
wall_clock_time_millis_training
1412.3950004577637
usercpu_time_millis_testing
18.11070000000825
usercpu_time_millis
1430.4336000000008
wall_clock_time_millis_testing
18.116235733032227
wall_clock_time_millis
1478.8033962249756
predictive_accuracy
0.6482213438735178