119
30601
Python_3.8.18. Sklearn_0.23.1. NumPy_1.23.5. SciPy_1.10.1.
cv
3
30601
error_score
NaN
30601
iid
"deprecated"
30601
n_jobs
null
30601
param_grid
{"base_estimator__C": [0.01, 0.1, 10], "base_estimator__gamma": [0.01, 0.1, 10]}
30601
pre_dispatch
"2*n_jobs"
30601
refit
true
30601
return_train_score
false
30601
scoring
null
30601
verbose
0
30601
bootstrap
true
30602
bootstrap_features
false
30602
max_features
1.0
30602
max_samples
1.0
30602
n_estimators
10
30602
n_jobs
null
30602
oob_score
false
30602
random_state
33003
30602
verbose
0
30602
warm_start
false
30602
C
1.0
30603
break_ties
false
30603
cache_size
200
30603
class_weight
null
30603
coef0
0.0
30603
decision_function_shape
"ovr"
30603
degree
3
30603
gamma
"scale"
30603
kernel
"rbf"
30603
max_iter
-1
30603
probability
false
30603
random_state
62501
30603
shrinking
true
30603
tol
0.001
30603
verbose
false
30603
openml-python
Sklearn_0.23.1.
usercpu_time_millis_training
1456.0676000000115
wall_clock_time_millis_training
1456.4800262451172
usercpu_time_millis_testing
18.54860000000258
usercpu_time_millis
1474.616200000014
wall_clock_time_millis_testing
18.556594848632812
wall_clock_time_millis
1524.583101272583
predictive_accuracy
0.6482213438735178