10591757
31244
Sharath Kumar Reddy Alijarla
3
Supervised Classification
18983
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(2)
8304530
Python_3.7.3. Sklearn_0.20.0. NumPy_1.21.5. SciPy_1.7.3.
n_jobs
null
18952
remainder
"passthrough"
18952
sparse_threshold
0.3
18952
transformer_weights
null
18952
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": []}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]}}]
18952
memory
null
18953
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
18953
axis
0
18954
copy
true
18954
missing_values
"NaN"
18954
strategy
"most_frequent"
18954
verbose
0
18954
copy
true
18955
with_mean
true
18955
with_std
true
18955
memory
null
18956
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
18956
copy
true
18957
fill_value
-1
18957
missing_values
NaN
18957
strategy
"constant"
18957
verbose
0
18957
categorical_features
null
18958
categories
null
18958
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
18958
handle_unknown
"ignore"
18958
n_values
null
18958
sparse
true
18958
threshold
0.0
18959
class_weight
null
18971
criterion
"gini"
18971
max_depth
null
18971
max_features
1.0
18971
max_leaf_nodes
null
18971
min_impurity_decrease
0.0
18971
min_impurity_split
null
18971
min_samples_leaf
1
18971
min_samples_split
3
18971
min_weight_fraction_leaf
0.0
18971
presort
false
18971
random_state
0
18971
splitter
"best"
18971
memory
null
18983
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "decisiontreeclassifier", "step_name": "decisiontreeclassifier"}}]
18983
openml-python
Sklearn_0.20.0.
3
kr-vs-kp
https://www.openml.org/data/download/3/dataset_3_kr-vs-kp.arff
-1
22111647
description
https://api.openml.org/data/download/22111647/description.xml
-1
22111648
predictions
https://api.openml.org/data/download/22111648/predictions.arff
area_under_roc_curve
0.9965574717988137 [0.996557,0.996557]
average_cost
0
f_measure
0.9959323584597107 [0.996107,0.995742]
kappa
0.9918485127675504
kb_relative_information_score
0.9912131692132892
mean_absolute_error
0.004380475594493116
mean_prior_absolute_error
0.49901358092237413
weighted_recall
0.9959324155193993 [0.996405,0.995416]
number_of_instances
3196 [1669,1527]
precision
0.9959324967987478 [0.995808,0.996068]
predictive_accuracy
0.9959324155193993
prior_entropy
0.998575539213492
relative_absolute_error
0.008778269293585694
root_mean_prior_squared_error
0.49950623821173523
root_mean_squared_error
0.06253909915928249
root_relative_squared_error
0.12520183808549926
total_cost
0
unweighted_recall
0.995910440510986 [0.996405,0.995416]
area_under_roc_curve
0.993738014167743 [0.993738,0.993738]
area_under_roc_curve
0.9940119760479043 [0.994012,0.994012]
area_under_roc_curve
0.9967320261437909 [0.996732,0.996732]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9966926529648004 [0.996693,0.996693]
area_under_roc_curve
0.9933619602899463 [0.993362,0.993362]
area_under_roc_curve
0.9940119760479041 [0.994012,0.994012]
area_under_roc_curve
0.9970059880239521 [0.997006,0.997006]
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
0.99375 [0.994012,0.993464]
f_measure
0.9937514669065873 [0.993976,0.993506]
f_measure
0.9968745412282848 [0.997015,0.996721]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
1 [1,1]
f_measure
0.9937285550990084 [0.994012,0.993421]
f_measure
0.9905906048577243 [0.991098,0.990033]
f_measure
0.9937320120731251 [0.993976,0.993464]
f_measure
0.9968656358707234 [0.996997,0.996721]
kappa
0.987476028335486
kappa
0.9874828867592412
kappa
0.9937362981522079
kappa
1
kappa
1
kappa
1
kappa
0.9874335237344888
kappa
0.9811328194310273
kappa
0.9874404504114335
kappa
0.9937183703207766
kb_relative_information_score
0.9874648958661568
kb_relative_information_score
0.9843266648818169
kb_relative_information_score
0.9937324479330784
kb_relative_information_score
0.9968617690156598
kb_relative_information_score
1
kb_relative_information_score
1
kb_relative_information_score
0.9874280199734252
kb_relative_information_score
0.9811344390182147
kb_relative_information_score
0.9874229593454765
kb_relative_information_score
0.9937114796727383
mean_absolute_error
0.00625
mean_absolute_error
0.0078125
mean_absolute_error
0.003125
mean_absolute_error
0.0015625
mean_absolute_error
0
mean_absolute_error
0
mean_absolute_error
0.006269592476489028
mean_absolute_error
0.009404388714733543
mean_absolute_error
0.006269592476489028
mean_absolute_error
0.003134796238244514
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
0.99375 [0.994012,0.993464]
precision
0.9938306451612903 [1,0.987097]
precision
0.9968936011904763 [0.994048,1]
precision
1 [1,1]
precision
1 [1,1]
precision
1 [1,1]
precision
0.9938050455291835 [0.988095,1]
precision
0.9907615710861145 [0.982353,1]
precision
0.9938118308024265 [1,0.987013]
precision
0.9968856926260579 [1,0.993464]
predictive_accuracy
0.99375
predictive_accuracy
0.99375
predictive_accuracy
0.996875
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.993730407523511
predictive_accuracy
0.9905956112852665
predictive_accuracy
0.993730407523511
predictive_accuracy
0.9968652037617555
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
0.012524330018837349
relative_absolute_error
0.015655412523546686
relative_absolute_error
0.006262165009418674
relative_absolute_error
0.003131082504709337
relative_absolute_error
0
relative_absolute_error
0
relative_absolute_error
0.012561915947505428
relative_absolute_error
0.018848130510632187
relative_absolute_error
0.012565420340421457
relative_absolute_error
0.006282710170210729
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
0.07905694150420949
root_mean_squared_error
0.08385254915624211
root_mean_squared_error
0.05590169943749474
root_mean_squared_error
0.02795084971874737
root_mean_squared_error
0
root_mean_squared_error
0
root_mean_squared_error
0.06857254813237416
root_mean_squared_error
0.08852677897456387
root_mean_squared_error
0.07918075824648958
root_mean_squared_error
0.055989251095585425
root_relative_squared_error
0.15826538672753915
root_relative_squared_error
0.1678657922732315
root_relative_squared_error
0.11191052818215436
root_relative_squared_error
0.05595526409107718
root_relative_squared_error
0
root_relative_squared_error
0
root_relative_squared_error
0.1372582044206656
root_relative_squared_error
0.17724901211685518
root_relative_squared_error
0.1585363360151888
root_relative_squared_error
0.11210211826080906
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
0.993738014167743 [0.994012,0.993464]
unweighted_recall
0.9940119760479043 [0.988024,1]
unweighted_recall
0.9967320261437909 [1,0.993464]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
1 [1,1]
unweighted_recall
0.9934640522875817 [1,0.986928]
unweighted_recall
0.9901315789473684 [1,0.980263]
unweighted_recall
0.9940119760479043 [0.988024,1]
unweighted_recall
0.9970059880239521 [0.994012,1]
usercpu_time_millis
78.125
usercpu_time_millis
62.5
usercpu_time_millis
62.5
usercpu_time_millis
62.5
usercpu_time_millis
62.5
usercpu_time_millis
78.125
usercpu_time_millis
62.5
usercpu_time_millis
62.5
usercpu_time_millis
78.125
usercpu_time_millis
62.5
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_training
78.125
usercpu_time_millis_training
62.5
usercpu_time_millis_training
46.875
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
46.875
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
wall_clock_time_millis
78.2320499420166
wall_clock_time_millis
64.16940689086914
wall_clock_time_millis
63.16661834716797
wall_clock_time_millis
64.17107582092285
wall_clock_time_millis
62.19077110290527
wall_clock_time_millis
64.17083740234375
wall_clock_time_millis
66.1768913269043
wall_clock_time_millis
64.17059898376465
wall_clock_time_millis
63.169240951538086
wall_clock_time_millis
67.17848777770996
wall_clock_time_millis_testing
7.046222686767578
wall_clock_time_millis_testing
7.018804550170898
wall_clock_time_millis_testing
6.041765213012695
wall_clock_time_millis_testing
7.017612457275391
wall_clock_time_millis_testing
7.043123245239258
wall_clock_time_millis_testing
7.039308547973633
wall_clock_time_millis_testing
8.022785186767578
wall_clock_time_millis_testing
7.018804550170898
wall_clock_time_millis_testing
8.022785186767578
wall_clock_time_millis_testing
8.022546768188477
wall_clock_time_millis_training
71.18582725524902
wall_clock_time_millis_training
57.15060234069824
wall_clock_time_millis_training
57.12485313415527
wall_clock_time_millis_training
57.15346336364746
wall_clock_time_millis_training
55.147647857666016
wall_clock_time_millis_training
57.13152885437012
wall_clock_time_millis_training
58.15410614013672
wall_clock_time_millis_training
57.15179443359375
wall_clock_time_millis_training
55.14645576477051
wall_clock_time_millis_training
59.155941009521484
weighted_recall
0.99375 [0.994012,0.993464]
weighted_recall
0.99375 [0.988024,1]
weighted_recall
0.996875 [1,0.993464]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
1 [1,1]
weighted_recall
0.9937304075235109 [1,0.986928]
weighted_recall
0.9905956112852664 [1,0.980263]
weighted_recall
0.9937304075235109 [0.988024,1]
weighted_recall
0.9968652037617555 [0.994012,1]