119
13803
Python_3.9.13. Sklearn_0.24.2. NumPy_1.26.3. SciPy_1.10.0.
cv
3
13803
error_score
NaN
13803
n_jobs
null
13803
param_grid
{"base_estimator__C": [0.01, 0.1, 10], "base_estimator__gamma": [0.01, 0.1, 10]}
13803
pre_dispatch
"2*n_jobs"
13803
refit
true
13803
return_train_score
false
13803
scoring
null
13803
verbose
0
13803
bootstrap
true
13804
bootstrap_features
false
13804
max_features
1.0
13804
max_samples
1.0
13804
n_estimators
10
13804
n_jobs
null
13804
oob_score
false
13804
random_state
33003
13804
verbose
0
13804
warm_start
false
13804
C
1.0
13805
break_ties
false
13805
cache_size
200
13805
class_weight
null
13805
coef0
0.0
13805
decision_function_shape
"ovr"
13805
degree
3
13805
gamma
"scale"
13805
kernel
"rbf"
13805
max_iter
-1
13805
probability
false
13805
random_state
62501
13805
shrinking
true
13805
tol
0.001
13805
verbose
false
13805
openml-python
Sklearn_0.24.2.
usercpu_time_millis_training
2296.875
wall_clock_time_millis_training
2298.0904579162598
usercpu_time_millis_testing
62.5
usercpu_time_millis
2359.375
wall_clock_time_millis_testing
62.51788139343262
wall_clock_time_millis
2423.1128692626953
predictive_accuracy
0.6482213438735178