119
14278
Python_3.9.18. Sklearn_0.24.0. NumPy_1.26.3. SciPy_1.11.4.
cv
3
14278
error_score
NaN
14278
n_jobs
null
14278
param_grid
{"base_estimator__C": [0.01, 0.1, 10], "base_estimator__gamma": [0.01, 0.1, 10]}
14278
pre_dispatch
"2*n_jobs"
14278
refit
true
14278
return_train_score
false
14278
scoring
null
14278
verbose
0
14278
bootstrap
true
14279
bootstrap_features
false
14279
max_features
1.0
14279
max_samples
1.0
14279
n_estimators
10
14279
n_jobs
null
14279
oob_score
false
14279
random_state
33003
14279
verbose
0
14279
warm_start
false
14279
C
1.0
14280
break_ties
false
14280
cache_size
200
14280
class_weight
null
14280
coef0
0.0
14280
decision_function_shape
"ovr"
14280
degree
3
14280
gamma
"scale"
14280
kernel
"rbf"
14280
max_iter
-1
14280
probability
false
14280
random_state
62501
14280
shrinking
true
14280
tol
0.001
14280
verbose
false
14280
openml-python
Sklearn_0.24.0.
usercpu_time_millis_training
1615.5817999999974
wall_clock_time_millis_training
1615.670919418335
usercpu_time_millis_testing
33.29839999999962
usercpu_time_millis
1648.880199999997
wall_clock_time_millis_testing
33.303022384643555
wall_clock_time_millis
1701.6868591308594
predictive_accuracy
0.6482213438735178