10587878
6127
Peng YU
3
Supervised Classification
19119
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier)(4)
8304011
Python_3.10.4. Sklearn_1.2.dev0. NumPy_1.22.4. SciPy_1.8.1.
memory
null
19119
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "decisiontreeclassifier", "step_name": "decisiontreeclassifier"}}]
19119
verbose
false
19119
n_jobs
null
19120
remainder
"drop"
19120
sparse_threshold
0.3
19120
transformer_weights
null
19120
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}]
19120
verbose
false
19120
verbose_feature_names_out
true
19120
add_indicator
false
19121
copy
true
19121
fill_value
null
19121
missing_values
NaN
19121
strategy
"mean"
19121
verbose
"deprecated"
19121
categories
"auto"
19122
drop
null
19122
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
19122
handle_unknown
"ignore"
19122
max_categories
null
19122
min_frequency
null
19122
sparse
true
19122
ccp_alpha
0.0
19123
class_weight
null
19123
criterion
"gini"
19123
max_depth
1
19123
max_features
null
19123
max_leaf_nodes
null
19123
min_impurity_decrease
0.0
19123
min_samples_leaf
1
19123
min_samples_split
2
19123
min_weight_fraction_leaf
0.0
19123
random_state
40872
19123
splitter
"best"
19123
openml-python
Sklearn_1.2.dev0.
3
kr-vs-kp
https://www.openml.org/data/download/3/dataset_3_kr-vs-kp.arff
-1
22103214
description
https://api.openml.org/data/download/22103214/description.xml
-1
22103215
predictions
https://api.openml.org/data/download/22103215/predictions.arff
area_under_roc_curve
0.666432024635059 [0.666432,0.666432]
average_cost
0
f_measure
0.6232647278827173 [0.51842,0.737859]
kappa
0.3396437687719142
kb_relative_information_score
0.21177994742504222
mean_absolute_error
0.39695515111114493
mean_prior_absolute_error
0.49901358092237413
weighted_recall
0.6605131414267835 [0.34991,1]
number_of_instances
3196 [1669,1527]
precision
0.8015327591725492 [1,0.584609]
predictive_accuracy
0.6605131414267835
prior_entropy
0.998575539213492
relative_absolute_error
0.7954796548370789
root_mean_prior_squared_error
0.49950623821173523
root_mean_squared_error
0.4455256997944102
root_relative_squared_error
0.891932203668609
total_cost
0
unweighted_recall
0.6749550629119233 [0.34991,1]
area_under_roc_curve
0.7035928143712575 [0.703593,0.703593]
area_under_roc_curve
0.6437125748502994 [0.643713,0.643713]
area_under_roc_curve
0.6766467065868264 [0.676647,0.676647]
area_under_roc_curve
0.6766467065868264 [0.676647,0.676647]
area_under_roc_curve
0.6916167664670658 [0.691617,0.691617]
area_under_roc_curve
0.6676646706586826 [0.667665,0.667665]
area_under_roc_curve
0.6686746987951807 [0.668675,0.668675]
area_under_roc_curve
0.6706586826347305 [0.670659,0.670659]
area_under_roc_curve
0.6646706586826348 [0.664671,0.664671]
area_under_roc_curve
0.6856287425149701 [0.685629,0.685629]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.6632712765957447 [0.578723,0.755556]
f_measure
0.5772732558139534 [0.446512,0.72]
f_measure
0.6258801462100807 [0.522124,0.73913]
f_measure
0.6258801462100807 [0.522124,0.73913]
f_measure
0.6468944818425258 [0.554113,0.748166]
f_measure
0.6129619398651482 [0.502242,0.733813]
f_measure
0.615332341625445 [0.504505,0.735577]
f_measure
0.616315354227648 [0.508929,0.7343]
f_measure
0.6076008489801594 [0.495495,0.730769]
f_measure
0.6376361840384882 [0.541485,0.743276]
kappa
0.3964334705075447
kappa
0.2783505154639176
kappa
0.3431406089633937
kappa
0.3431406089633937
kappa
0.37271619975639453
kappa
0.32543299908842294
kappa
0.32811243441963767
kappa
0.33057346712961194
kappa
0.3187919463087249
kappa
0.3600863534761094
kb_relative_information_score
0.2476369275541159
kb_relative_information_score
0.1724350099886513
kb_relative_information_score
0.21398443720276966
kb_relative_information_score
0.21398443720276972
kb_relative_information_score
0.2327181913237386
kb_relative_information_score
0.2026985575936765
kb_relative_information_score
0.2041298943105569
kb_relative_information_score
0.20629611512074797
kb_relative_information_score
0.19872889942364938
kb_relative_information_score
0.22514733520171684
mean_absolute_error
0.37987817796610196
mean_absolute_error
0.41573717948717775
mean_absolute_error
0.39593922798808817
mean_absolute_error
0.39593922798808817
mean_absolute_error
0.3870012733446539
mean_absolute_error
0.40132027257240405
mean_absolute_error
0.40077749352422115
mean_absolute_error
0.39945307810311476
mean_absolute_error
0.40305896300727073
mean_absolute_error
0.3904651611657958
mean_prior_absolute_error
0.4990286898061312
mean_prior_absolute_error
0.4990286898061312
mean_prior_absolute_error
0.4990286898061312
mean_prior_absolute_error
0.4990286898061312
mean_prior_absolute_error
0.4990286898061312
mean_prior_absolute_error
0.4990286898061312
mean_prior_absolute_error
0.49909524173611874
mean_prior_absolute_error
0.4989560481570598
mean_prior_absolute_error
0.4989560481570598
mean_prior_absolute_error
0.4989560481570598
number_of_instances
320 [167,153]
number_of_instances
320 [167,153]
number_of_instances
320 [167,153]
number_of_instances
320 [167,153]
number_of_instances
320 [167,153]
number_of_instances
320 [167,153]
number_of_instances
319 [166,153]
number_of_instances
319 [167,152]
number_of_instances
319 [167,152]
number_of_instances
319 [167,152]
precision
0.8121651785714284 [1,0.607143]
precision
0.7908203125 [1,0.5625]
precision
0.8021551724137931 [1,0.586207]
precision
0.8021551724137931 [1,0.586207]
precision
0.80762939453125 [1,0.597656]
precision
0.7989701704545455 [1,0.579545]
precision
0.7993968795070145 [1,0.581749]
precision
0.7999473545669913 [1,0.580153]
precision
0.7978531395459295 [1,0.575758]
precision
0.805325494309796 [1,0.59144]
predictive_accuracy
0.690625
predictive_accuracy
0.628125
predictive_accuracy
0.6625
predictive_accuracy
0.6625
predictive_accuracy
0.678125
predictive_accuracy
0.653125
predictive_accuracy
0.6551724137931035
predictive_accuracy
0.6551724137931035
predictive_accuracy
0.6489028213166144
predictive_accuracy
0.6708463949843261
prior_entropy
0.9986191629215038
prior_entropy
0.9986191629215038
prior_entropy
0.9986191629215038
prior_entropy
0.9986191629215038
prior_entropy
0.9986191629215038
prior_entropy
0.9986191629215038
prior_entropy
0.9988113175509788
prior_entropy
0.9984094255154751
prior_entropy
0.9984094255154751
prior_entropy
0.9984094255154751
relative_absolute_error
0.7612351468483339
relative_absolute_error
0.833092741919685
relative_absolute_error
0.7934197693962396
relative_absolute_error
0.7934197693962396
relative_absolute_error
0.7755090664125963
relative_absolute_error
0.8042028059114474
relative_absolute_error
0.8030080433748554
relative_absolute_error
0.800577685306214
relative_absolute_error
0.807804544099638
relative_absolute_error
0.7825642410950121
root_mean_prior_squared_error
0.4995213618016774
root_mean_prior_squared_error
0.4995213618016774
root_mean_prior_squared_error
0.4995213618016774
root_mean_prior_squared_error
0.4995213618016774
root_mean_prior_squared_error
0.4995213618016774
root_mean_prior_squared_error
0.4995213618016774
root_mean_prior_squared_error
0.4995879730599906
root_mean_prior_squared_error
0.49944864525507615
root_mean_prior_squared_error
0.49944864525507615
root_mean_prior_squared_error
0.49944864525507615
root_mean_squared_error
0.4339638560289985
root_mean_squared_error
0.45792729010654665
root_mean_squared_error
0.44480040081144506
root_mean_squared_error
0.44480040081144506
root_mean_squared_error
0.4387915000873263
root_mean_squared_error
0.4483926976187906
root_mean_squared_error
0.4478967083913417
root_mean_squared_error
0.4472949808915227
root_mean_squared_error
0.44969668577842403
root_mean_squared_error
0.44127173138919285
root_relative_squared_error
0.868759354882791
root_relative_squared_error
0.9167321462587528
root_relative_squared_error
0.8904532114645421
root_relative_squared_error
0.8904532114645421
root_relative_squared_error
0.8784238946352361
root_relative_squared_error
0.8976446893112328
root_relative_squared_error
0.8965322076269403
root_relative_squared_error
0.8955775236172324
root_relative_squared_error
0.9003862360038178
root_relative_squared_error
0.8835177261594704
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
unweighted_recall
0.7035928143712575 [0.407186,1]
unweighted_recall
0.6437125748502994 [0.287425,1]
unweighted_recall
0.6766467065868264 [0.353293,1]
unweighted_recall
0.6766467065868264 [0.353293,1]
unweighted_recall
0.6916167664670658 [0.383234,1]
unweighted_recall
0.6676646706586826 [0.335329,1]
unweighted_recall
0.6686746987951807 [0.337349,1]
unweighted_recall
0.6706586826347305 [0.341317,1]
unweighted_recall
0.6646706586826348 [0.329341,1]
unweighted_recall
0.6856287425149701 [0.371257,1]
usercpu_time_millis
60.77900000000014
usercpu_time_millis
53.69199999999985
usercpu_time_millis
53.22399999999971
usercpu_time_millis
51.895000000000024
usercpu_time_millis
51.84999999999995
usercpu_time_millis
48.83699999999979
usercpu_time_millis
46.824999999999676
usercpu_time_millis
40.67999999999961
usercpu_time_millis
44.12200000000021
usercpu_time_millis
44.316999999999936
usercpu_time_millis_testing
11.346000000000078
usercpu_time_millis_testing
10.648999999999909
usercpu_time_millis_testing
10.413999999999923
usercpu_time_millis_testing
10.260999999999854
usercpu_time_millis_testing
9.956999999999994
usercpu_time_millis_testing
10.005000000000042
usercpu_time_millis_testing
9.479999999999933
usercpu_time_millis_testing
8.43399999999983
usercpu_time_millis_testing
9.384999999999977
usercpu_time_millis_testing
8.231000000000321
usercpu_time_millis_training
49.433000000000064
usercpu_time_millis_training
43.04299999999994
usercpu_time_millis_training
42.80999999999979
usercpu_time_millis_training
41.63400000000017
usercpu_time_millis_training
41.89299999999996
usercpu_time_millis_training
38.83199999999975
usercpu_time_millis_training
37.34499999999974
usercpu_time_millis_training
32.245999999999775
usercpu_time_millis_training
34.737000000000236
usercpu_time_millis_training
36.085999999999615
wall_clock_time_millis
61.75589561462402
wall_clock_time_millis
54.17275428771973
wall_clock_time_millis
53.618431091308594
wall_clock_time_millis
52.294254302978516
wall_clock_time_millis
52.3686408996582
wall_clock_time_millis
49.0720272064209
wall_clock_time_millis
47.049522399902344
wall_clock_time_millis
40.88187217712402
wall_clock_time_millis
44.33894157409668
wall_clock_time_millis
44.46125030517578
wall_clock_time_millis_testing
11.45792007446289
wall_clock_time_millis_testing
10.788917541503906
wall_clock_time_millis_testing
10.49661636352539
wall_clock_time_millis_testing
10.324239730834961
wall_clock_time_millis_testing
9.976863861083984
wall_clock_time_millis_testing
10.076045989990234
wall_clock_time_millis_testing
9.538650512695312
wall_clock_time_millis_testing
8.481740951538086
wall_clock_time_millis_testing
9.443044662475586
wall_clock_time_millis_testing
8.262157440185547
wall_clock_time_millis_training
50.29797554016113
wall_clock_time_millis_training
43.38383674621582
wall_clock_time_millis_training
43.1218147277832
wall_clock_time_millis_training
41.970014572143555
wall_clock_time_millis_training
42.39177703857422
wall_clock_time_millis_training
38.995981216430664
wall_clock_time_millis_training
37.51087188720703
wall_clock_time_millis_training
32.40013122558594
wall_clock_time_millis_training
34.895896911621094
wall_clock_time_millis_training
36.199092864990234
weighted_recall
0.690625 [0.407186,1]
weighted_recall
0.628125 [0.287425,1]
weighted_recall
0.6625 [0.353293,1]
weighted_recall
0.6625 [0.353293,1]
weighted_recall
0.678125 [0.383234,1]
weighted_recall
0.653125 [0.335329,1]
weighted_recall
0.6551724137931034 [0.337349,1]
weighted_recall
0.6551724137931034 [0.341317,1]
weighted_recall
0.6489028213166145 [0.329341,1]
weighted_recall
0.670846394984326 [0.371257,1]