10591476
32117
VAIBHAV JAISWAL
10101
Supervised Classification
19174
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1)
8304109
Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
copy
true
19075
with_mean
true
19075
with_std
true
19075
add_indicator
false
19084
copy
true
19084
fill_value
null
19084
missing_values
NaN
19084
strategy
"mean"
19084
verbose
0
19084
memory
null
19156
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}]
19156
verbose
false
19156
memory
null
19174
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}]
19174
verbose
false
19174
categorical_features
null
19175
early_stopping
"auto"
19175
l2_regularization
0.0
19175
learning_rate
0.1
19175
loss
"auto"
19175
max_bins
255
19175
max_depth
null
19175
max_iter
100
19175
max_leaf_nodes
31
19175
min_samples_leaf
20
19175
monotonic_cst
null
19175
n_iter_no_change
10
19175
random_state
0
19175
scoring
"loss"
19175
tol
1e-07
19175
validation_fraction
0.1
19175
verbose
0
19175
warm_start
false
19175
openml-python
Sklearn_1.0.2.
1464
blood-transfusion-service-center
https://www.openml.org/data/download/1586225/php0iVrYT
-1
22110558
description
https://api.openml.org/data/download/22110558/description.xml
-1
22110559
predictions
https://api.openml.org/data/download/22110559/predictions.arff
area_under_roc_curve
0.7000542085550957 [0.700054,0.700054]
average_cost
0
f_measure
0.7364866361268362 [0.848837,0.376712]
kappa
0.23446848711143098
kb_relative_information_score
0.11350999736175447
mean_absolute_error
0.2980389045142494
mean_prior_absolute_error
0.3630445632798566
weighted_recall
0.7566844919786097 [0.896491,0.308989]
number_of_instances
748 [570,178]
precision
0.7290021347165042 [0.805994,0.482456]
predictive_accuracy
0.7566844919786097
prior_entropy
0.7916465694609683
relative_absolute_error
0.8209430319563912
root_mean_prior_squared_error
0.4258399633559147
root_mean_squared_error
0.4206688753489149
root_relative_squared_error
0.9878567338625338
total_cost
0
unweighted_recall
0.6027399960575597 [0.896491,0.308989]
area_under_roc_curve
0.7392787524366472 [0.739279,0.739279]
area_under_roc_curve
0.7383040935672515 [0.738304,0.738304]
area_under_roc_curve
0.5818713450292398 [0.581871,0.581871]
area_under_roc_curve
0.692495126705653 [0.692495,0.692495]
area_under_roc_curve
0.8357699805068226 [0.83577,0.83577]
area_under_roc_curve
0.6652046783625731 [0.665205,0.665205]
area_under_roc_curve
0.6993177387914231 [0.699318,0.699318]
area_under_roc_curve
0.6817738791423001 [0.681774,0.681774]
area_under_roc_curve
0.7156862745098039 [0.715686,0.715686]
area_under_roc_curve
0.6929824561403509 [0.692982,0.692982]
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
0.7420000000000001 [0.85,0.4]
f_measure
0.7234197777144485 [0.842975,0.344828]
f_measure
0.6473015873015873 [0.825397,0.083333]
f_measure
0.7550101419878296 [0.844828,0.470588]
f_measure
0.7739837398373983 [0.878049,0.444444]
f_measure
0.7335831381733021 [0.852459,0.357143]
f_measure
0.7133333333333334 [0.833333,0.333333]
f_measure
0.7420000000000001 [0.85,0.4]
f_measure
0.7900878546039837 [0.871795,0.516129]
f_measure
0.7265030895862539 [0.840336,0.344828]
kappa
0.25742574257425754
kappa
0.1989881956155145
kappa
-0.04166666666666682
kappa
0.3161094224924012
kappa
0.33862433862433877
kappa
0.22413793103448282
kappa
0.17491749174917487
kappa
0.25742574257425754
kappa
0.38943894389438927
kappa
0.19102416570770997
kb_relative_information_score
0.1315306905588128
kb_relative_information_score
0.14750765821112688
kb_relative_information_score
-0.022471800359934853
kb_relative_information_score
0.09404683442830025
kb_relative_information_score
0.2722877434400723
kb_relative_information_score
0.06889654317595233
kb_relative_information_score
0.08658577410649615
kb_relative_information_score
0.07908172321561868
kb_relative_information_score
0.20352437477345756
kb_relative_information_score
0.0759279161342759
mean_absolute_error
0.295640760453776
mean_absolute_error
0.2966542784357964
mean_absolute_error
0.3319476924865874
mean_absolute_error
0.30188731964731014
mean_absolute_error
0.2578771162167984
mean_absolute_error
0.3158462549442968
mean_absolute_error
0.30270547376252416
mean_absolute_error
0.30846052747722824
mean_absolute_error
0.26668335881611005
mean_absolute_error
0.30232534145192647
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.35873873873873896
mean_prior_absolute_error
0.35873873873873896
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
74 [57,17]
number_of_instances
74 [57,17]
precision
0.7352380952380952 [0.809524,0.5]
precision
0.7147159090909091 [0.796875,0.454545]
precision
0.6127536231884059 [0.753623,0.166667]
precision
0.7511864406779661 [0.830508,0.5]
precision
0.7818181818181819 [0.818182,0.666667]
precision
0.728 [0.8,0.5]
precision
0.7031746031746031 [0.793651,0.416667]
precision
0.7352380952380952 [0.809524,0.5]
precision
0.786003861003861 [0.85,0.571429]
precision
0.7169064225515838 [0.806452,0.416667]
predictive_accuracy
0.76
predictive_accuracy
0.7466666666666667
predictive_accuracy
0.7066666666666667
predictive_accuracy
0.76
predictive_accuracy
0.8
predictive_accuracy
0.76
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.76
predictive_accuracy
0.7972972972972973
predictive_accuracy
0.7432432432432432
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7778597106646706
prior_entropy
0.7778597106646706
relative_absolute_error
0.8119619537876516
relative_absolute_error
0.8147455281487006
relative_absolute_error
0.9116770520175055
relative_absolute_error
0.8291178033377855
relative_absolute_error
0.7082460713439237
relative_absolute_error
0.8674552922521696
relative_absolute_error
0.8313648210117658
relative_absolute_error
0.8471707763582872
relative_absolute_error
0.7433915828374735
relative_absolute_error
0.8427451758202866
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4207539065176338
root_mean_prior_squared_error
0.4207539065176338
root_mean_squared_error
0.4148313038534568
root_mean_squared_error
0.4061720138455008
root_mean_squared_error
0.470293408611083
root_mean_squared_error
0.42906788371429194
root_mean_squared_error
0.3643474700148825
root_mean_squared_error
0.4288747170439241
root_mean_squared_error
0.43038209265121535
root_mean_squared_error
0.4266003005918738
root_mean_squared_error
0.39373884913300483
root_mean_squared_error
0.43383791978020086
root_relative_squared_error
0.9713080500142103
root_relative_squared_error
0.9510327284220227
root_relative_squared_error
1.1011699681515263
root_relative_squared_error
1.0046423343245965
root_relative_squared_error
0.8531025198445071
root_relative_squared_error
1.0041900436218945
root_relative_squared_error
1.007719492938174
root_relative_squared_error
0.9988646041277197
root_relative_squared_error
0.9357936861282671
root_relative_squared_error
1.0310965936617362
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
0.6140350877192983 [0.894737,0.333333]
unweighted_recall
0.5862573099415205 [0.894737,0.277778]
unweighted_recall
0.48391812865497075 [0.912281,0.055556]
unweighted_recall
0.652046783625731 [0.859649,0.444444]
unweighted_recall
0.6403508771929824 [0.947368,0.333333]
unweighted_recall
0.5950292397660819 [0.912281,0.277778]
unweighted_recall
0.577485380116959 [0.877193,0.277778]
unweighted_recall
0.6140350877192983 [0.894737,0.333333]
unweighted_recall
0.6826625386996904 [0.894737,0.470588]
unweighted_recall
0.5856553147574819 [0.877193,0.294118]
usercpu_time_millis
1625
usercpu_time_millis
1750
usercpu_time_millis
2343.75
usercpu_time_millis
2015.625
usercpu_time_millis
2265.625
usercpu_time_millis
2281.25
usercpu_time_millis
1781.25
usercpu_time_millis
2125
usercpu_time_millis
2281.25
usercpu_time_millis
1734.375
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
15.625
usercpu_time_millis_training
1578.125
usercpu_time_millis_training
1718.75
usercpu_time_millis_training
2281.25
usercpu_time_millis_training
1968.75
usercpu_time_millis_training
2203.125
usercpu_time_millis_training
2281.25
usercpu_time_millis_training
1781.25
usercpu_time_millis_training
2125
usercpu_time_millis_training
2234.375
usercpu_time_millis_training
1718.75
wall_clock_time_millis
716.5887355804443
wall_clock_time_millis
682.6088428497314
wall_clock_time_millis
699.5983123779297
wall_clock_time_millis
704.5958042144775
wall_clock_time_millis
684.6070289611816
wall_clock_time_millis
690.6032562255859
wall_clock_time_millis
683.607816696167
wall_clock_time_millis
683.6068630218506
wall_clock_time_millis
684.6082210540771
wall_clock_time_millis
693.6020851135254
wall_clock_time_millis_testing
7.994651794433594
wall_clock_time_millis_testing
8.995294570922852
wall_clock_time_millis_testing
7.995367050170898
wall_clock_time_millis_testing
8.994340896606445
wall_clock_time_millis_testing
9.993791580200195
wall_clock_time_millis_testing
8.99362564086914
wall_clock_time_millis_testing
7.996320724487305
wall_clock_time_millis_testing
8.994817733764648
wall_clock_time_millis_testing
10.993480682373047
wall_clock_time_millis_testing
13.992071151733398
wall_clock_time_millis_training
708.5940837860107
wall_clock_time_millis_training
673.6135482788086
wall_clock_time_millis_training
691.6029453277588
wall_clock_time_millis_training
695.6014633178711
wall_clock_time_millis_training
674.6132373809814
wall_clock_time_millis_training
681.6096305847168
wall_clock_time_millis_training
675.6114959716797
wall_clock_time_millis_training
674.6120452880859
wall_clock_time_millis_training
673.6147403717041
wall_clock_time_millis_training
679.610013961792
weighted_recall
0.76 [0.894737,0.333333]
weighted_recall
0.7466666666666667 [0.894737,0.277778]
weighted_recall
0.7066666666666667 [0.912281,0.055556]
weighted_recall
0.76 [0.859649,0.444444]
weighted_recall
0.8 [0.947368,0.333333]
weighted_recall
0.76 [0.912281,0.277778]
weighted_recall
0.7333333333333333 [0.877193,0.277778]
weighted_recall
0.76 [0.894737,0.333333]
weighted_recall
0.7972972972972973 [0.894737,0.470588]
weighted_recall
0.7432432432432432 [0.877193,0.294118]