5
6970
axis
0
6947
categorical_features
[1, 21, 22, 23, 24, 25, 26, 33, 34, 35, 36, 37, 38, 45, 46, 47, 48, 49, 50, 57, 58, 59, 60, 61, 62, 69, 70, 71, 72, 73, 74, 81, 82, 83, 84, 85, 86, 93, 94, 95, 96, 97, 98, 105, 106, 107, 108, 109, 110, 117, 118, 119, 120, 121, 122, 129, 130, 131, 132, 133, 134, 141, 142, 143, 144, 145, 146, 153, 154, 155, 156, 157, 158]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"median"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[1, 21, 22, 23, 24, 25, 26, 33, 34, 35, 36, 37, 38, 45, 46, 47, 48, 49, 50, 57, 58, 59, 60, 61, 62, 69, 70, 71, 72, 73, 74, 81, 82, 83, 84, 85, 86, 93, 94, 95, 96, 97, 98, 105, 106, 107, 108, 109, 110, 117, 118, 119, 120, 121, 122, 129, 130, 131, 132, 133, 134, 141, 142, 143, 144, 145, 146, 153, 154, 155, 156, 157, 158]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
true
6948
threshold
0.0
6949
algorithm
"SAMME"
6971
learning_rate
0.5646627736132362
6971
n_estimators
237
6971
random_state
22011
6971
class_weight
null
6941
criterion
"gini"
6941
max_depth
4
6941
max_features
null
6941
max_leaf_nodes
null
6941
min_impurity_split
1e-07
6941
min_samples_leaf
1
6941
min_samples_split
2
6941
min_weight_fraction_leaf
0.0
6941
presort
false
6941
random_state
8783
6941
splitter
"best"
6941
openml-python
Sklearn_0.18.1.
openml-pimp
usercpu_time_millis_training
3969.2796950002958
usercpu_time_millis_training
3803.4826419998353
usercpu_time_millis_training
3769.8525859996153
usercpu_time_millis_training
3790.057627999886
usercpu_time_millis_training
3808.519016999526
usercpu_time_millis_training
4184.2064830007075
usercpu_time_millis_training
3777.1944349997284
usercpu_time_millis_training
3803.4035040000163
usercpu_time_millis_training
3831.9368359998407
usercpu_time_millis_training
3796.868326000549
predictive_accuracy
0.695652173913
predictive_accuracy
0.717391304348
predictive_accuracy
0.688888888889
predictive_accuracy
0.688888888889
predictive_accuracy
0.755555555556
predictive_accuracy
0.622222222222
predictive_accuracy
0.622222222222
predictive_accuracy
0.688888888889
predictive_accuracy
0.733333333333
predictive_accuracy
0.733333333333
usercpu_time_millis_testing
35.87389499989513
usercpu_time_millis_testing
35.661419999996724
usercpu_time_millis_testing
35.41767000024265
usercpu_time_millis_testing
35.48172299997532
usercpu_time_millis_testing
35.380071999497886
usercpu_time_millis_testing
35.29931900084193
usercpu_time_millis_testing
35.22402399994462
usercpu_time_millis_testing
35.199079000449274
usercpu_time_millis_testing
35.20112000023801
usercpu_time_millis_testing
35.34224700069899
usercpu_time_millis
4005.153590000191
usercpu_time_millis
3839.144061999832
usercpu_time_millis
3805.270255999858
usercpu_time_millis
3825.539350999861
usercpu_time_millis
3843.8990889990237
usercpu_time_millis
4219.5058020015495
usercpu_time_millis
3812.418458999673
usercpu_time_millis
3838.6025830004655
usercpu_time_millis
3867.1379560000787
usercpu_time_millis
3832.210573001248