10591306
32117
VAIBHAV JAISWAL
59
Supervised Classification
predictive_accuracy
19170
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._gb.GradientBoostingClassifier)(1)
8304107
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
19170
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"}}]
19170
verbose
false
19170
ccp_alpha
0.0
19171
criterion
"friedman_mse"
19171
init
null
19171
learning_rate
0.1
19171
loss
"deviance"
19171
max_depth
3
19171
max_features
null
19171
max_leaf_nodes
null
19171
min_impurity_decrease
0.0
19171
min_samples_leaf
1
19171
min_samples_split
2
19171
min_weight_fraction_leaf
0.0
19171
n_estimators
100
19171
n_iter_no_change
null
19171
random_state
0
19171
subsample
1.0
19171
tol
0.0001
19171
validation_fraction
0.1
19171
verbose
0
19171
warm_start
false
19171
openml-python
Sklearn_1.0.2.
61
iris
https://www.openml.org/data/download/61/dataset_61_iris.arff
-1
22110218
description
https://api.openml.org/data/download/22110218/description.xml
-1
22110219
predictions
https://api.openml.org/data/download/22110219/predictions.arff
area_under_roc_curve
0.9779999999999999 [1,0.9625,0.9715]
average_cost
0
f_measure
0.9533286661999534 [1,0.930693,0.929293]
kappa
0.93
kb_relative_information_score
0.9354440869038758
mean_absolute_error
0.03157891018557304
mean_prior_absolute_error
0.44444444444444337
weighted_recall
0.9533333333333334 [1,0.94,0.92]
number_of_instances
150 [50,50,50]
precision
0.9534480458850206 [1,0.921569,0.938776]
predictive_accuracy
0.9533333333333333
prior_entropy
1.5849625007211599
relative_absolute_error
0.07105254791753951
root_mean_prior_squared_error
0.4714045207910311
root_mean_squared_error
0.1764000776952465
root_relative_squared_error
0.37420107342042835
total_cost
0
unweighted_recall
0.9533333333333333 [1,0.94,0.92]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.9599999999999999 [1,0.94,0.94]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.9333333333333333 [1,0.9,0.9]
area_under_roc_curve
0.9400000000000001 [1,0.91,0.91]
area_under_roc_curve
1 [1,1,1]
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
0.9326599326599326 [1,0.909091,0.888889]
f_measure
1 [1,1,1]
f_measure
1 [1,1,1]
f_measure
0.9326599326599326 [1,0.888889,0.909091]
f_measure
1 [1,1,1]
f_measure
0.9326599326599326 [1,0.888889,0.909091]
f_measure
1 [1,1,1]
f_measure
0.861111111111111 [1,0.833333,0.75]
f_measure
0.8666666666666667 [1,0.8,0.8]
f_measure
1 [1,1,1]
kappa
0.9
kappa
1
kappa
1
kappa
0.9
kappa
1
kappa
0.9
kappa
1
kappa
0.8
kappa
0.8
kappa
1
kb_relative_information_score
0.9087126005836026
kb_relative_information_score
0.9998288570988595
kb_relative_information_score
0.9940786772944543
kb_relative_information_score
0.9087499056260127
kb_relative_information_score
0.999773445862591
kb_relative_information_score
0.9084693304091945
kb_relative_information_score
0.9998846573350861
kb_relative_information_score
0.8175847547048078
kb_relative_information_score
0.8174588946954525
kb_relative_information_score
0.9998997454287099
mean_absolute_error
0.04445620080831388
mean_absolute_error
0.0001252993596141404
mean_absolute_error
0.004137387574591779
mean_absolute_error
0.044428884251636956
mean_absolute_error
0.00016578944440913396
mean_absolute_error
0.04463426574647005
mean_absolute_error
0.00008446824588559169
mean_absolute_error
0.0887956653596848
mean_absolute_error
0.08888772131599405
mean_absolute_error
0.00007341974912988963
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
precision
0.9444444444444445 [1,0.833333,1]
precision
1 [1,1,1]
precision
1 [1,1,1]
precision
0.9444444444444445 [1,1,0.833333]
precision
1 [1,1,1]
precision
0.9444444444444445 [1,1,0.833333]
precision
1 [1,1,1]
precision
0.9047619047619048 [1,0.714286,1]
precision
0.8666666666666667 [1,0.8,0.8]
precision
1 [1,1,1]
predictive_accuracy
0.9333333333333332
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.9333333333333332
predictive_accuracy
1
predictive_accuracy
0.9333333333333332
predictive_accuracy
1
predictive_accuracy
0.8666666666666667
predictive_accuracy
0.8666666666666667
predictive_accuracy
1
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
relative_absolute_error
0.10002645181870622
relative_absolute_error
0.00028192355913181583
relative_absolute_error
0.009309122042831498
relative_absolute_error
0.0999649895661831
relative_absolute_error
0.00037302624992055126
relative_absolute_error
0.10042709792955758
relative_absolute_error
0.00019005355324258125
relative_absolute_error
0.19979024705929074
relative_absolute_error
0.19999737296098655
relative_absolute_error
0.00016519443554225162
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_squared_error
0.21075138519635375
root_mean_squared_error
0.00030456266786292683
root_mean_squared_error
0.019340815492035476
root_mean_squared_error
0.21069366815518467
root_mean_squared_error
0.0005290459703419673
root_mean_squared_error
0.21077949460419354
root_mean_squared_error
0.00013249779338870372
root_mean_squared_error
0.2977840162200603
root_mean_squared_error
0.2981343974639894
root_mean_squared_error
0.00011826003962480743
root_relative_squared_error
0.4470712008503996
root_relative_squared_error
0.0006460749832264253
root_relative_squared_error
0.04102806536428835
root_relative_squared_error
0.4469487645167976
root_relative_squared_error
0.0011222759795646664
root_relative_squared_error
0.44713082990909564
root_relative_squared_error
0.00028107026459221946
root_relative_squared_error
0.6316952915945084
root_relative_squared_error
0.632438562455257
root_relative_squared_error
0.0002508674278862734
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
0.9333333333333332 [1,1,0.8]
unweighted_recall
1 [1,1,1]
unweighted_recall
1 [1,1,1]
unweighted_recall
0.9333333333333332 [1,0.8,1]
unweighted_recall
1 [1,1,1]
unweighted_recall
0.9333333333333332 [1,0.8,1]
unweighted_recall
1 [1,1,1]
unweighted_recall
0.8666666666666667 [1,1,0.6]
unweighted_recall
0.8666666666666667 [1,0.8,0.8]
unweighted_recall
1 [1,1,1]
usercpu_time_millis
312.5
usercpu_time_millis
281.25
usercpu_time_millis
296.875
usercpu_time_millis
281.25
usercpu_time_millis
281.25
usercpu_time_millis
281.25
usercpu_time_millis
281.25
usercpu_time_millis
265.625
usercpu_time_millis
281.25
usercpu_time_millis
281.25
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
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
312.5
usercpu_time_millis_training
281.25
usercpu_time_millis_training
296.875
usercpu_time_millis_training
281.25
usercpu_time_millis_training
265.625
usercpu_time_millis_training
281.25
usercpu_time_millis_training
281.25
usercpu_time_millis_training
265.625
usercpu_time_millis_training
281.25
usercpu_time_millis_training
281.25
wall_clock_time_millis
338.78278732299805
wall_clock_time_millis
285.83812713623047
wall_clock_time_millis
288.8331413269043
wall_clock_time_millis
278.84626388549805
wall_clock_time_millis
276.84521675109863
wall_clock_time_millis
286.837100982666
wall_clock_time_millis
272.86291122436523
wall_clock_time_millis
266.8442726135254
wall_clock_time_millis
277.8191566467285
wall_clock_time_millis
279.8192501068115
wall_clock_time_millis_testing
1.9991397857666016
wall_clock_time_millis_testing
1.9993782043457031
wall_clock_time_millis_testing
1.9998550415039062
wall_clock_time_millis_testing
3.0002593994140625
wall_clock_time_millis_testing
2.9990673065185547
wall_clock_time_millis_testing
2.997875213623047
wall_clock_time_millis_testing
1.9991397857666016
wall_clock_time_millis_testing
2.9985904693603516
wall_clock_time_millis_testing
2.9969215393066406
wall_clock_time_millis_testing
3.0019283294677734
wall_clock_time_millis_training
336.78364753723145
wall_clock_time_millis_training
283.83874893188477
wall_clock_time_millis_training
286.8332862854004
wall_clock_time_millis_training
275.846004486084
wall_clock_time_millis_training
273.8461494445801
wall_clock_time_millis_training
283.83922576904297
wall_clock_time_millis_training
270.86377143859863
wall_clock_time_millis_training
263.84568214416504
wall_clock_time_millis_training
274.8222351074219
wall_clock_time_millis_training
276.81732177734375
weighted_recall
0.9333333333333333 [1,1,0.8]
weighted_recall
1 [1,1,1]
weighted_recall
1 [1,1,1]
weighted_recall
0.9333333333333333 [1,0.8,1]
weighted_recall
1 [1,1,1]
weighted_recall
0.9333333333333333 [1,0.8,1]
weighted_recall
1 [1,1,1]
weighted_recall
0.8666666666666667 [1,1,0.6]
weighted_recall
0.8666666666666667 [1,0.8,0.8]
weighted_recall
1 [1,1,1]