10591467
32117
VAIBHAV JAISWAL
10101
Supervised Classification
19159
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.linear_model._stochastic_gradient.SGDClassifier)(1)
8304102
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
19159
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"}}]
19159
verbose
false
19159
alpha
0.0001
19160
average
false
19160
class_weight
null
19160
early_stopping
false
19160
epsilon
0.1
19160
eta0
0.0
19160
fit_intercept
true
19160
l1_ratio
0.15
19160
learning_rate
"optimal"
19160
loss
"hinge"
19160
max_iter
1000
19160
n_iter_no_change
5
19160
n_jobs
null
19160
penalty
"l2"
19160
power_t
0.5
19160
random_state
0
19160
shuffle
true
19160
tol
0.001
19160
validation_fraction
0.1
19160
verbose
0
19160
warm_start
false
19160
openml-python
Sklearn_1.0.2.
1464
blood-transfusion-service-center
https://www.openml.org/data/download/1586225/php0iVrYT
-1
22110540
description
https://api.openml.org/data/download/22110540/description.xml
-1
22110541
predictions
https://api.openml.org/data/download/22110541/predictions.arff
area_under_roc_curve
0.5662231421249754 [0.566223,0.566223]
average_cost
0
f_measure
0.7115778819473632 [0.83977,0.301075]
kappa
0.15559003334568355
kb_relative_information_score
0.18979448873365098
mean_absolute_error
0.2606951871657754
mean_prior_absolute_error
0.3630445632798566
weighted_recall
0.7393048128342246 [0.896491,0.235955]
number_of_instances
748 [570,178]
precision
0.7008091890196384 [0.789799,0.415842]
predictive_accuracy
0.7393048128342247
prior_entropy
0.7916465694609683
relative_absolute_error
0.7180804053655965
root_mean_prior_squared_error
0.4258399633559147
root_mean_squared_error
0.5105831833950031
root_relative_squared_error
1.1990025064140364
total_cost
0
unweighted_recall
0.5662231421249754 [0.896491,0.235955]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5277777777777778 [0.527778,0.527778]
area_under_roc_curve
0.5921052631578947 [0.592105,0.592105]
area_under_roc_curve
0.5877192982456141 [0.587719,0.587719]
area_under_roc_curve
0.6695906432748538 [0.669591,0.669591]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.7007223942208464 [0.700722,0.700722]
area_under_roc_curve
0.6006191950464397 [0.600619,0.600619]
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
0.6866372036962636 [0.870229,0.105263]
f_measure
0.6605714285714287 [0.742857,0.4]
f_measure
0.7108624708624709 [0.820513,0.363636]
f_measure
0.7769491525423728 [0.864407,0.5]
f_measure
0.7452708773463491 [0.811321,0.52381]
f_measure
0.7083065208065209 [0.803571,0.388889]
kappa
0
kappa
0.08207343412526993
kappa
0.15730337078651693
kappa
0.18604651162790684
kappa
0.3670886075949365
kappa
0
kappa
0
kappa
0
kappa
0.3445527015057572
kappa
0.19326065411298332
kb_relative_information_score
0.2573028231343927
kb_relative_information_score
0.2985637774047042
kb_relative_information_score
-0.114045765298411
kb_relative_information_score
0.1335199603234583
kb_relative_information_score
0.33982473167501603
kb_relative_information_score
0.2573028231343927
kb_relative_information_score
0.2573028231343927
kb_relative_information_score
0.2573028231343927
kb_relative_information_score
0.14514882713822075
kb_relative_information_score
0.059663709852042154
mean_absolute_error
0.24
mean_absolute_error
0.22666666666666666
mean_absolute_error
0.36
mean_absolute_error
0.28
mean_absolute_error
0.21333333333333335
mean_absolute_error
0.24
mean_absolute_error
0.24
mean_absolute_error
0.24
mean_absolute_error
0.2702702702702703
mean_absolute_error
0.2972972972972973
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
0.8254054054054054 [0.77027,1]
precision
0.6975 [0.8125,0.333333]
precision
0.7040000000000001 [0.8,0.4]
precision
0.7725526932084309 [0.836066,0.571429]
precision
0.7770325427468284 [0.877551,0.44]
precision
0.7148583990689255 [0.818182,0.368421]
predictive_accuracy
0.76
predictive_accuracy
0.7733333333333333
predictive_accuracy
0.64
predictive_accuracy
0.72
predictive_accuracy
0.7866666666666667
predictive_accuracy
0.76
predictive_accuracy
0.76
predictive_accuracy
0.76
predictive_accuracy
0.7297297297297297
predictive_accuracy
0.7027027027027027
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
0.6591475025633511
relative_absolute_error
0.6225281968653871
relative_absolute_error
0.9887212538450265
relative_absolute_error
0.769005419657243
relative_absolute_error
0.5859088911674233
relative_absolute_error
0.6591475025633511
relative_absolute_error
0.6591475025633511
relative_absolute_error
0.6591475025633511
relative_absolute_error
0.7533902561526866
relative_absolute_error
0.8287292817679552
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
0.4898979485566356
root_mean_squared_error
0.4760952285695233
root_mean_squared_error
0.6
root_mean_squared_error
0.5291502622129182
root_mean_squared_error
0.46188021535170065
root_mean_squared_error
0.4898979485566356
root_mean_squared_error
0.4898979485566356
root_mean_squared_error
0.4898979485566356
root_mean_squared_error
0.5198752449100363
root_mean_squared_error
0.5452497568062706
root_relative_squared_error
1.147073079341677
root_relative_squared_error
1.1147546575855642
root_relative_squared_error
1.4048718710350763
root_relative_squared_error
1.2389805315562727
root_relative_squared_error
1.0814708705587128
root_relative_squared_error
1.147073079341677
root_relative_squared_error
1.147073079341677
root_relative_squared_error
1.147073079341677
root_relative_squared_error
1.2355803163249974
root_relative_squared_error
1.295887568386532
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
0.5 [1,0]
unweighted_recall
0.5277777777777778 [1,0.055556]
unweighted_recall
0.5921052631578947 [0.684211,0.5]
unweighted_recall
0.587719298245614 [0.842105,0.333333]
unweighted_recall
0.6695906432748537 [0.894737,0.444444]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.7007223942208463 [0.754386,0.647059]
unweighted_recall
0.6006191950464397 [0.789474,0.411765]
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
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
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
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
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
0
wall_clock_time_millis
9.016752243041992
wall_clock_time_millis
11.97052001953125
wall_clock_time_millis
9.971857070922852
wall_clock_time_millis
8.972883224487305
wall_clock_time_millis
11.990547180175781
wall_clock_time_millis
36.95940971374512
wall_clock_time_millis
18.988609313964844
wall_clock_time_millis
10.991573333740234
wall_clock_time_millis
9.99307632446289
wall_clock_time_millis
8.972644805908203
wall_clock_time_millis_testing
2.0225048065185547
wall_clock_time_millis_testing
2.9964447021484375
wall_clock_time_millis_testing
1.977682113647461
wall_clock_time_millis_testing
1.997232437133789
wall_clock_time_millis_testing
2.9990673065185547
wall_clock_time_millis_testing
5.000591278076172
wall_clock_time_millis_testing
4.997730255126953
wall_clock_time_millis_testing
1.9989013671875
wall_clock_time_millis_testing
1.9993782043457031
wall_clock_time_millis_testing
1.9991397857666016
wall_clock_time_millis_training
6.9942474365234375
wall_clock_time_millis_training
8.974075317382812
wall_clock_time_millis_training
7.994174957275391
wall_clock_time_millis_training
6.975650787353516
wall_clock_time_millis_training
8.991479873657227
wall_clock_time_millis_training
31.958818435668945
wall_clock_time_millis_training
13.99087905883789
wall_clock_time_millis_training
8.992671966552734
wall_clock_time_millis_training
7.9936981201171875
wall_clock_time_millis_training
6.973505020141602
weighted_recall
0.76 [1,0]
weighted_recall
0.7733333333333333 [1,0.055556]
weighted_recall
0.64 [0.684211,0.5]
weighted_recall
0.72 [0.842105,0.333333]
weighted_recall
0.7866666666666666 [0.894737,0.444444]
weighted_recall
0.76 [1,0]
weighted_recall
0.76 [1,0]
weighted_recall
0.76 [1,0]
weighted_recall
0.7297297297297297 [0.754386,0.647059]
weighted_recall
0.7027027027027027 [0.789474,0.411765]