10589161
32117
VAIBHAV JAISWAL
10101
Supervised Classification
19157
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.linear_model._logistic.LogisticRegression)(1)
8304123
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
19157
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"}}]
19157
verbose
false
19157
C
1.0
19158
class_weight
null
19158
dual
false
19158
fit_intercept
true
19158
intercept_scaling
1
19158
l1_ratio
null
19158
max_iter
2000
19158
multi_class
"auto"
19158
n_jobs
null
19158
penalty
"l2"
19158
random_state
0
19158
solver
"lbfgs"
19158
tol
0.0001
19158
verbose
0
19158
warm_start
false
19158
openml-python
Sklearn_1.0.2.
1464
blood-transfusion-service-center
https://www.openml.org/data/download/1586225/php0iVrYT
-1
22105889
description
https://api.openml.org/data/download/22105889/description.xml
-1
22105890
predictions
https://api.openml.org/data/download/22105890/predictions.arff
area_under_roc_curve
0.7519317957815889 [0.751932,0.751932]
average_cost
0
f_measure
0.7073906545881211 [0.866719,0.197183]
kappa
0.12907179431310603
kb_relative_information_score
0.09712908769138959
mean_absolute_error
0.30958420010891297
mean_prior_absolute_error
0.3630445632798566
weighted_recall
0.7713903743315508 [0.975439,0.117978]
number_of_instances
748 [570,178]
precision
0.7370161477825862 [0.779804,0.6]
predictive_accuracy
0.7713903743315508
prior_entropy
0.7916465694609683
relative_absolute_error
0.8527443499278263
root_mean_prior_squared_error
0.4258399633559147
root_mean_squared_error
0.39284350889159725
root_relative_squared_error
0.9225144248926699
total_cost
0
unweighted_recall
0.5467080622905579 [0.975439,0.117978]
area_under_roc_curve
0.7782651072124757 [0.778265,0.778265]
area_under_roc_curve
0.8386939571150098 [0.838694,0.838694]
area_under_roc_curve
0.6783625730994152 [0.678363,0.678363]
area_under_roc_curve
0.6895711500974658 [0.689571,0.689571]
area_under_roc_curve
0.7787524366471735 [0.778752,0.778752]
area_under_roc_curve
0.7373294346978557 [0.737329,0.737329]
area_under_roc_curve
0.7850877192982456 [0.785088,0.785088]
area_under_roc_curve
0.73635477582846 [0.736355,0.736355]
area_under_roc_curve
0.7363261093911249 [0.736326,0.736326]
area_under_roc_curve
0.7786377708978328 [0.778638,0.778638]
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
0.6880383430332078 [0.850394,0.173913]
f_measure
0.7144615384615385 [0.876923,0.2]
f_measure
0.6430769230769231 [0.846154,0]
f_measure
0.6630681818181817 [0.84375,0.090909]
f_measure
0.7755555555555557 [0.888889,0.416667]
f_measure
0.6787692307692308 [0.861538,0.1]
f_measure
0.7401993355481727 [0.883721,0.285714]
f_measure
0.720876412187607 [0.866142,0.26087]
f_measure
0.7199324324324324 [0.875,0.2]
f_measure
0.7199324324324324 [0.875,0.2]
kappa
0.07766990291262131
kappa
0.1596638655462184
kappa
-0.05042016806722702
kappa
0.003984063745019896
kappa
0.3371212121212121
kappa
0.0546218487394959
kappa
0.23312883435582848
kappa
0.17475728155339784
kappa
0.14078374455732942
kappa
0.14078374455732942
kb_relative_information_score
0.08508804791517546
kb_relative_information_score
0.1780539433471134
kb_relative_information_score
-0.005103582337376365
kb_relative_information_score
0.03340342255197829
kb_relative_information_score
0.17828525767076198
kb_relative_information_score
0.1010449169447123
kb_relative_information_score
0.15286400387281948
kb_relative_information_score
0.045591772228610605
kb_relative_information_score
0.08937909650800169
kb_relative_information_score
0.11296425839569421
mean_absolute_error
0.3143821077734726
mean_absolute_error
0.2897099036733019
mean_absolute_error
0.340001783452124
mean_absolute_error
0.3300468791499984
mean_absolute_error
0.2864527930076297
mean_absolute_error
0.3084940764729077
mean_absolute_error
0.29341073636744386
mean_absolute_error
0.3240115216966609
mean_absolute_error
0.30351551511208513
mean_absolute_error
0.3056837627521243
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
0.6822857142857144 [0.771429,0.4]
precision
0.8334246575342465 [0.780822,1]
precision
0.5726027397260274 [0.753425,0]
precision
0.6380281690140844 [0.760563,0.25]
precision
0.8168115942028985 [0.811594,0.833333]
precision
0.703013698630137 [0.767123,0.5]
precision
0.8416666666666667 [0.791667,1]
precision
0.7411428571428571 [0.785714,0.6]
precision
0.7606902677325212 [0.788732,0.666667]
precision
0.7606902677325212 [0.788732,0.666667]
predictive_accuracy
0.7466666666666667
predictive_accuracy
0.7866666666666667
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.8133333333333332
predictive_accuracy
0.76
predictive_accuracy
0.8
predictive_accuracy
0.7733333333333333
predictive_accuracy
0.7837837837837838
predictive_accuracy
0.7837837837837838
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
0.8634340882895281
relative_absolute_error
0.7956731644755248
relative_absolute_error
0.93379719345647
relative_absolute_error
0.9064565671689567
relative_absolute_error
0.7867276796386488
relative_absolute_error
0.8472629169279356
relative_absolute_error
0.8058373087578101
relative_absolute_error
0.8898807722004378
relative_absolute_error
0.8460628372034512
relative_absolute_error
0.852106922789698
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
0.3943247121962456
root_mean_squared_error
0.36930439760709177
root_mean_squared_error
0.41637133991699476
root_mean_squared_error
0.42701471588279344
root_mean_squared_error
0.37542254199614034
root_mean_squared_error
0.3968402722066284
root_mean_squared_error
0.37586757839440865
root_mean_squared_error
0.3968948105357548
root_mean_squared_error
0.3900444188925729
root_mean_squared_error
0.3823311585876189
root_relative_squared_error
0.9232928270308459
root_relative_squared_error
0.864708933412928
root_relative_squared_error
0.974913972257617
root_relative_squared_error
0.9998349381029528
root_relative_squared_error
0.879034281671437
root_relative_squared_error
0.9291828928616583
root_relative_squared_error
0.8800763135339602
root_relative_squared_error
0.9293105918024633
root_relative_squared_error
0.927013184787213
root_relative_squared_error
0.9086811855223867
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
0.5292397660818713 [0.947368,0.111111]
unweighted_recall
0.5555555555555556 [1,0.111111]
unweighted_recall
0.4824561403508772 [0.964912,0]
unweighted_recall
0.5014619883040935 [0.947368,0.055556]
unweighted_recall
0.6301169590643274 [0.982456,0.277778]
unweighted_recall
0.5190058479532164 [0.982456,0.055556]
unweighted_recall
0.5833333333333334 [1,0.166667]
unweighted_recall
0.5657894736842105 [0.964912,0.166667]
unweighted_recall
0.5500515995872033 [0.982456,0.117647]
unweighted_recall
0.5500515995872033 [0.982456,0.117647]
usercpu_time_millis
31.25
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
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
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
wall_clock_time_millis
20.987987518310547
wall_clock_time_millis
22.984027862548828
wall_clock_time_millis
22.986412048339844
wall_clock_time_millis
11.99197769165039
wall_clock_time_millis
11.992692947387695
wall_clock_time_millis
16.989946365356445
wall_clock_time_millis
24.988412857055664
wall_clock_time_millis
15.990018844604492
wall_clock_time_millis
11.991739273071289
wall_clock_time_millis
11.993646621704102
wall_clock_time_millis_testing
4.995822906494141
wall_clock_time_millis_testing
2.997159957885742
wall_clock_time_millis_testing
3.997325897216797
wall_clock_time_millis_testing
1.9991397857666016
wall_clock_time_millis_testing
1.9998550415039062
wall_clock_time_millis_testing
3.9963722229003906
wall_clock_time_millis_testing
4.002094268798828
wall_clock_time_millis_testing
1.9984245300292969
wall_clock_time_millis_testing
1.9989013671875
wall_clock_time_millis_testing
2.001047134399414
wall_clock_time_millis_training
15.992164611816406
wall_clock_time_millis_training
19.986867904663086
wall_clock_time_millis_training
18.989086151123047
wall_clock_time_millis_training
9.992837905883789
wall_clock_time_millis_training
9.992837905883789
wall_clock_time_millis_training
12.993574142456055
wall_clock_time_millis_training
20.986318588256836
wall_clock_time_millis_training
13.991594314575195
wall_clock_time_millis_training
9.992837905883789
wall_clock_time_millis_training
9.992599487304688
weighted_recall
0.7466666666666667 [0.947368,0.111111]
weighted_recall
0.7866666666666666 [1,0.111111]
weighted_recall
0.7333333333333333 [0.964912,0]
weighted_recall
0.7333333333333333 [0.947368,0.055556]
weighted_recall
0.8133333333333334 [0.982456,0.277778]
weighted_recall
0.76 [0.982456,0.055556]
weighted_recall
0.8 [1,0.166667]
weighted_recall
0.7733333333333333 [0.964912,0.166667]
weighted_recall
0.7837837837837838 [0.982456,0.117647]
weighted_recall
0.7837837837837838 [0.982456,0.117647]