10591025
32117
VAIBHAV JAISWAL
10101
Supervised Classification
19165
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.svm._classes.SVC)(1)
8304397
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
19165
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"}}]
19165
verbose
false
19165
C
1.0
19166
break_ties
false
19166
cache_size
200
19166
class_weight
null
19166
coef0
0.0
19166
decision_function_shape
"ovr"
19166
degree
3
19166
gamma
"scale"
19166
kernel
"rbf"
19166
max_iter
-1
19166
probability
false
19166
random_state
38151
19166
shrinking
true
19166
tol
0.001
19166
verbose
false
19166
openml-python
Sklearn_1.0.2.
1464
blood-transfusion-service-center
https://www.openml.org/data/download/1586225/php0iVrYT
-1
22109646
description
https://api.openml.org/data/download/22109646/description.xml
-1
22109647
predictions
https://api.openml.org/data/download/22109647/predictions.arff
area_under_roc_curve
0.5723437808003154 [0.572344,0.572344]
average_cost
0
f_measure
0.7283303453071093 [0.868878,0.278261]
kappa
0.1912354749622219
kb_relative_information_score
0.310286590409157
mean_absolute_error
0.22192513368983957
mean_prior_absolute_error
0.3630445632798566
weighted_recall
0.7780748663101604 [0.964912,0.179775]
number_of_instances
748 [570,178]
precision
0.7486223208839842 [0.79023,0.615385]
predictive_accuracy
0.7780748663101604
prior_entropy
0.7916465694609683
relative_absolute_error
0.6112889604650719
root_mean_prior_squared_error
0.4258399633559147
root_mean_squared_error
0.471089305429278
root_relative_squared_error
1.1062590314839573
total_cost
0
unweighted_recall
0.5723437808003153 [0.964912,0.179775]
area_under_roc_curve
0.5116959064327485 [0.511696,0.511696]
area_under_roc_curve
0.6111111111111112 [0.611111,0.611111]
area_under_roc_curve
0.49269005847953223 [0.49269,0.49269]
area_under_roc_curve
0.5102339181286549 [0.510234,0.510234]
area_under_roc_curve
0.621345029239766 [0.621345,0.621345]
area_under_roc_curve
0.5555555555555556 [0.555556,0.555556]
area_under_roc_curve
0.6111111111111112 [0.611111,0.611111]
area_under_roc_curve
0.621345029239766 [0.621345,0.621345]
area_under_roc_curve
0.6589267285861713 [0.658927,0.658927]
area_under_roc_curve
0.5325077399380806 [0.532508,0.532508]
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
0.67072 [0.832,0.16]
f_measure
0.7641477272727273 [0.890625,0.363636]
f_measure
0.6552002738788086 [0.834646,0.086957]
f_measure
0.6709191583610189 [0.852713,0.095238]
f_measure
0.7648 [0.88,0.4]
f_measure
0.7144615384615385 [0.876923,0.2]
f_measure
0.7641477272727273 [0.890625,0.363636]
f_measure
0.7648 [0.88,0.4]
f_measure
0.799129861568886 [0.894309,0.48]
f_measure
0.702000702000702 [0.857143,0.181818]
kappa
0.02957486136783716
kappa
0.3027888446215141
kappa
-0.01941747572815563
kappa
0.028629856850715996
kappa
0.3068391866913125
kappa
0.1596638655462184
kappa
0.3027888446215141
kappa
0.3068391866913125
kappa
0.3903675538656527
kappa
0.08641975308642007
kb_relative_information_score
0.13351996032345792
kb_relative_information_score
0.422346640215639
kb_relative_information_score
0.1335199603234579
kb_relative_information_score
0.21604186886408108
kb_relative_information_score
0.3810856859453275
kb_relative_information_score
0.3398247316750158
kb_relative_information_score
0.422346640215639
kb_relative_information_score
0.3810856859453275
kb_relative_information_score
0.44434673763984356
kb_relative_information_score
0.2306339444243981
mean_absolute_error
0.28
mean_absolute_error
0.18666666666666668
mean_absolute_error
0.28
mean_absolute_error
0.25333333333333335
mean_absolute_error
0.2
mean_absolute_error
0.21333333333333335
mean_absolute_error
0.18666666666666668
mean_absolute_error
0.2
mean_absolute_error
0.17567567567567569
mean_absolute_error
0.24324324324324326
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
0.6497478991596639 [0.764706,0.285714]
precision
0.8501408450704226 [0.802817,1]
precision
0.6234285714285714 [0.757143,0.2]
precision
0.6605555555555556 [0.763889,0.333333]
precision
0.7861344537815126 [0.808824,0.714286]
precision
0.8334246575342465 [0.780822,1]
precision
0.8501408450704226 [0.802817,1]
precision
0.7861344537815126 [0.808824,0.714286]
precision
0.8141891891891891 [0.833333,0.75]
precision
0.6947121034077557 [0.782609,0.4]
predictive_accuracy
0.72
predictive_accuracy
0.8133333333333332
predictive_accuracy
0.72
predictive_accuracy
0.7466666666666667
predictive_accuracy
0.8
predictive_accuracy
0.7866666666666667
predictive_accuracy
0.8133333333333332
predictive_accuracy
0.8
predictive_accuracy
0.8243243243243243
predictive_accuracy
0.7567567567567568
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
0.769005419657243
relative_absolute_error
0.5126702797714953
relative_absolute_error
0.769005419657243
relative_absolute_error
0.6957668082613151
relative_absolute_error
0.5492895854694592
relative_absolute_error
0.5859088911674233
relative_absolute_error
0.5126702797714953
relative_absolute_error
0.5492895854694592
relative_absolute_error
0.48970366649924635
relative_absolute_error
0.678051230537418
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
0.5291502622129182
root_mean_squared_error
0.43204937989385733
root_mean_squared_error
0.5291502622129182
root_mean_squared_error
0.5033222956847166
root_mean_squared_error
0.4472135954999579
root_mean_squared_error
0.46188021535170065
root_mean_squared_error
0.43204937989385733
root_mean_squared_error
0.4472135954999579
root_mean_squared_error
0.4191368221424547
root_mean_squared_error
0.4931969619160719
root_relative_squared_error
1.2389805315562727
root_relative_squared_error
1.011623367851713
root_relative_squared_error
1.2389805315562727
root_relative_squared_error
1.1785055587870965
root_relative_squared_error
1.0471296677705828
root_relative_squared_error
1.0814708705587128
root_relative_squared_error
1.011623367851713
root_relative_squared_error
1.0471296677705828
root_relative_squared_error
0.9961566978936384
root_relative_squared_error
1.1721744094974955
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
0.5116959064327485 [0.912281,0.111111]
unweighted_recall
0.6111111111111112 [1,0.222222]
unweighted_recall
0.4926900584795322 [0.929825,0.055556]
unweighted_recall
0.5102339181286549 [0.964912,0.055556]
unweighted_recall
0.6213450292397661 [0.964912,0.277778]
unweighted_recall
0.5555555555555556 [1,0.111111]
unweighted_recall
0.6111111111111112 [1,0.222222]
unweighted_recall
0.6213450292397661 [0.964912,0.277778]
unweighted_recall
0.6589267285861713 [0.964912,0.352941]
unweighted_recall
0.5325077399380804 [0.947368,0.117647]
usercpu_time_millis
31.25
usercpu_time_millis
31.25
usercpu_time_millis
31.25
usercpu_time_millis
31.25
usercpu_time_millis
31.25
usercpu_time_millis
31.25
usercpu_time_millis
31.25
usercpu_time_millis
31.25
usercpu_time_millis
31.25
usercpu_time_millis
31.25
usercpu_time_millis_testing
15.625
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
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_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
31.25
usercpu_time_millis_training
31.25
usercpu_time_millis_training
15.625
usercpu_time_millis_training
31.25
usercpu_time_millis_training
15.625
usercpu_time_millis_training
31.25
usercpu_time_millis_training
31.25
usercpu_time_millis_training
15.625
wall_clock_time_millis
25.980234146118164
wall_clock_time_millis
25.979995727539062
wall_clock_time_millis
25.980472564697266
wall_clock_time_millis
30.985116958618164
wall_clock_time_millis
30.000925064086914
wall_clock_time_millis
29.00409698486328
wall_clock_time_millis
30.001401901245117
wall_clock_time_millis
29.961347579956055
wall_clock_time_millis
25.986433029174805
wall_clock_time_millis
26.983022689819336
wall_clock_time_millis_testing
4.996538162231445
wall_clock_time_millis_testing
4.996299743652344
wall_clock_time_millis_testing
4.975557327270508
wall_clock_time_millis_testing
8.994102478027344
wall_clock_time_millis_testing
7.017374038696289
wall_clock_time_millis_testing
4.996538162231445
wall_clock_time_millis_testing
6.017208099365234
wall_clock_time_millis_testing
5.9947967529296875
wall_clock_time_millis_testing
5.996465682983398
wall_clock_time_millis_testing
5.976438522338867
wall_clock_time_millis_training
20.98369598388672
wall_clock_time_millis_training
20.98369598388672
wall_clock_time_millis_training
21.004915237426758
wall_clock_time_millis_training
21.99101448059082
wall_clock_time_millis_training
22.983551025390625
wall_clock_time_millis_training
24.007558822631836
wall_clock_time_millis_training
23.984193801879883
wall_clock_time_millis_training
23.966550827026367
wall_clock_time_millis_training
19.989967346191406
wall_clock_time_millis_training
21.00658416748047
weighted_recall
0.72 [0.912281,0.111111]
weighted_recall
0.8133333333333334 [1,0.222222]
weighted_recall
0.72 [0.929825,0.055556]
weighted_recall
0.7466666666666667 [0.964912,0.055556]
weighted_recall
0.8 [0.964912,0.277778]
weighted_recall
0.7866666666666666 [1,0.111111]
weighted_recall
0.8133333333333334 [1,0.222222]
weighted_recall
0.8 [0.964912,0.277778]
weighted_recall
0.8243243243243243 [0.964912,0.352941]
weighted_recall
0.7567567567567568 [0.947368,0.117647]