10588235
32117
VAIBHAV JAISWAL
18
Supervised Classification
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.
18
mfeat-morphological
https://www.openml.org/data/download/18/dataset_18_mfeat-morphological.arff
-1
22104037
description
https://api.openml.org/data/download/22104037/description.xml
-1
22104038
predictions
https://api.openml.org/data/download/22104038/predictions.arff
area_under_roc_curve
0.5469225 [0.993408,0.358353,0.675,0.731172,0.604872,0.425875,0.552601,0.379603,0.147186,0.601154]
average_cost
0
f_measure
0.12562792079498522 [0.992443,0.004843,0.087629,0.150852,0,0,0,0,0.020513,0]
kappa
0.02777777777777777
kb_relative_information_score
0.09834348371988005
mean_absolute_error
0.17368948235707685
mean_prior_absolute_error
0.18000000000000554
weighted_recall
0.125 [0.985,0.005,0.085,0.155,0,0,0,0,0.02,0]
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.12630924304542132 [1,0.004695,0.090426,0.146919,0,0,0,0,0.021053,0]
predictive_accuracy
0.125
prior_entropy
3.3219280948872383
relative_absolute_error
0.9649415686503972
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.3844812576648142
root_relative_squared_error
1.2816041922160277
total_cost
0
unweighted_recall
0.125 [0.985,0.005,0.085,0.155,0,0,0,0,0.02,0]
area_under_roc_curve
0.544 [0.998611,0.324722,0.674167,0.753611,0.608333,0.403889,0.588333,0.373611,0.155,0.559722]
area_under_roc_curve
0.5484166666666667 [1,0.3475,0.715,0.758889,0.634444,0.39,0.507639,0.426389,0.056667,0.647639]
area_under_roc_curve
0.5498611111111111 [0.982222,0.362222,0.64,0.733611,0.608611,0.455833,0.57625,0.436667,0.155278,0.547917]
area_under_roc_curve
0.5388055555555554 [1,0.353333,0.600833,0.689167,0.583611,0.486389,0.512361,0.365,0.182778,0.614583]
area_under_roc_curve
0.5535555555555556 [1,0.435556,0.619167,0.743333,0.665278,0.485278,0.500556,0.355,0.148056,0.583333]
area_under_roc_curve
0.5587777777777778 [1,0.338056,0.713333,0.709722,0.643333,0.445,0.590139,0.328889,0.183611,0.635694]
area_under_roc_curve
0.5192777777777777 [0.987778,0.341944,0.683889,0.679722,0.564167,0.24,0.573472,0.374722,0.121389,0.625694]
area_under_roc_curve
0.5496111111111112 [1,0.349167,0.696944,0.780833,0.605833,0.412222,0.566806,0.291667,0.2075,0.585139]
area_under_roc_curve
0.5601666666666666 [1,0.371389,0.686389,0.7325,0.580556,0.472222,0.556111,0.341667,0.229167,0.631667]
area_under_roc_curve
0.5458333333333334 [1,0.368889,0.699167,0.735833,0.561111,0.400556,0.567083,0.416667,0.109722,0.599306]
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
0.13245641727173874 [0.974359,0,0.117647,0.232558,0,0,0,0,0,0]
f_measure
0.12428571428571429 [1,0,0.142857,0.1,0,0,0,0,0,0]
f_measure
0.11659966050209952 [0.974359,0,0.04878,0.142857,0,0,0,0,0,0]
f_measure
0.11992921492921493 [1,0,0.054054,0.095238,0,0,0,0,0.05,0]
f_measure
0.13383838383838384 [1,0,0.111111,0.227273,0,0,0,0,0,0]
f_measure
0.11333333333333333 [1,0,0.133333,0,0,0,0,0,0,0]
f_measure
0.11743589743589743 [0.974359,0,0,0.2,0,0,0,0,0,0]
f_measure
0.1233108108108108 [1,0,0,0.108108,0,0,0,0,0.125,0]
f_measure
0.14150085579803168 [1,0.04878,0.157895,0.208333,0,0,0,0,0,0]
f_measure
0.13137426900584795 [1,0,0.111111,0.15,0,0,0,0,0.052632,0]
kappa
0.03333333333333333
kappa
0.02777777777777777
kappa
0.016666666666666666
kappa
0.02222222222222221
kappa
0.03888888888888889
kappa
0.016666666666666666
kappa
0.016666666666666666
kappa
0.02222222222222221
kappa
0.04999999999999998
kappa
0.03333333333333333
kb_relative_information_score
0.10243666512437354
kb_relative_information_score
0.10369863426944624
kb_relative_information_score
0.08955292046618349
kb_relative_information_score
0.09133260012157042
kb_relative_information_score
0.10526259704290056
kb_relative_information_score
0.09100446384083064
kb_relative_information_score
0.08718367965419115
kb_relative_information_score
0.09490301151845898
kb_relative_information_score
0.10926603052477242
kb_relative_information_score
0.1087942346360379
mean_absolute_error
0.1730280238616568
mean_absolute_error
0.1731050685004983
mean_absolute_error
0.17544479665367024
mean_absolute_error
0.1747922286476437
mean_absolute_error
0.17236873222958007
mean_absolute_error
0.17493603293586826
mean_absolute_error
0.1758948740881162
mean_absolute_error
0.17407574497560802
mean_absolute_error
0.1713135746812517
mean_absolute_error
0.17193574699687697
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.1360248447204969 [1,0,0.142857,0.217391,0,0,0,0,0,0]
precision
0.12363636363636363 [1,0,0.136364,0.1,0,0,0,0,0,0]
precision
0.11839826839826839 [1,0,0.047619,0.136364,0,0,0,0,0,0]
precision
0.11997326203208555 [1,0,0.058824,0.090909,0,0,0,0,0.05,0]
precision
0.13333333333333333 [1,0,0.125,0.208333,0,0,0,0,0,0]
precision
0.11199999999999999 [1,0,0.12,0,0,0,0,0,0,0]
precision
0.12 [1,0,0,0.2,0,0,0,0,0,0]
precision
0.1284313725490196 [1,0,0,0.117647,0,0,0,0,0.166667,0]
precision
0.1392857142857143 [1,0.047619,0.166667,0.178571,0,0,0,0,0,0]
precision
0.13305555555555557 [1,0,0.125,0.15,0,0,0,0,0.055556,0]
predictive_accuracy
0.13
predictive_accuracy
0.125
predictive_accuracy
0.115
predictive_accuracy
0.12
predictive_accuracy
0.135
predictive_accuracy
0.115
predictive_accuracy
0.115
predictive_accuracy
0.12
predictive_accuracy
0.145
predictive_accuracy
0.13
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
relative_absolute_error
0.9612667992314278
relative_absolute_error
0.9616948250027694
relative_absolute_error
0.9746933147426136
relative_absolute_error
0.971067936931355
relative_absolute_error
0.9576040679421125
relative_absolute_error
0.9718668496437136
relative_absolute_error
0.9771937449339798
relative_absolute_error
0.9670874720867123
relative_absolute_error
0.9517420815625105
relative_absolute_error
0.9551985944270954
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.3853083200870276
root_mean_squared_error
0.3841143163745166
root_mean_squared_error
0.3853101528839844
root_mean_squared_error
0.38617429927782404
root_mean_squared_error
0.384115129316021
root_mean_squared_error
0.3859548023527346
root_mean_squared_error
0.3893087576908628
root_mean_squared_error
0.3820467413844243
root_mean_squared_error
0.37975853392838
root_mean_squared_error
0.3826414176582701
root_relative_squared_error
1.2843610669567593
root_relative_squared_error
1.2803810545817225
root_relative_squared_error
1.284367176279949
root_relative_squared_error
1.2872476642594142
root_relative_squared_error
1.2803837643867373
root_relative_squared_error
1.2865160078424496
root_relative_squared_error
1.2976958589695438
root_relative_squared_error
1.2734891379480817
root_relative_squared_error
1.2658617797612672
root_relative_squared_error
1.2754713921942342
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
0.13 [0.95,0,0.1,0.25,0,0,0,0,0,0]
unweighted_recall
0.125 [1,0,0.15,0.1,0,0,0,0,0,0]
unweighted_recall
0.11499999999999999 [0.95,0,0.05,0.15,0,0,0,0,0,0]
unweighted_recall
0.12000000000000002 [1,0,0.05,0.1,0,0,0,0,0.05,0]
unweighted_recall
0.135 [1,0,0.1,0.25,0,0,0,0,0,0]
unweighted_recall
0.11499999999999999 [1,0,0.15,0,0,0,0,0,0,0]
unweighted_recall
0.11499999999999999 [0.95,0,0,0.2,0,0,0,0,0,0]
unweighted_recall
0.12000000000000002 [1,0,0,0.1,0,0,0,0,0.1,0]
unweighted_recall
0.145 [1,0.05,0.15,0.25,0,0,0,0,0,0]
unweighted_recall
0.13 [1,0,0.1,0.15,0,0,0,0,0.05,0]
usercpu_time_millis
3109.375
usercpu_time_millis
3093.75
usercpu_time_millis
3109.375
usercpu_time_millis
3125
usercpu_time_millis
3140.625
usercpu_time_millis
3140.625
usercpu_time_millis
3125
usercpu_time_millis
3093.75
usercpu_time_millis
3312.5
usercpu_time_millis
3328.125
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
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
3109.375
usercpu_time_millis_training
3093.75
usercpu_time_millis_training
3109.375
usercpu_time_millis_training
3125
usercpu_time_millis_training
3140.625
usercpu_time_millis_training
3140.625
usercpu_time_millis_training
3125
usercpu_time_millis_training
3078.125
usercpu_time_millis_training
3312.5
usercpu_time_millis_training
3328.125
wall_clock_time_millis
3121.190071105957
wall_clock_time_millis
3103.2214164733887
wall_clock_time_millis
3112.213611602783
wall_clock_time_millis
3119.189500808716
wall_clock_time_millis
3135.2531909942627
wall_clock_time_millis
3134.2015266418457
wall_clock_time_millis
3126.227855682373
wall_clock_time_millis
3108.1976890563965
wall_clock_time_millis
3307.1234226226807
wall_clock_time_millis
3326.08962059021
wall_clock_time_millis_testing
3.997325897216797
wall_clock_time_millis_testing
3.997802734375
wall_clock_time_millis_testing
3.997802734375
wall_clock_time_millis_testing
3.997802734375
wall_clock_time_millis_testing
5.01704216003418
wall_clock_time_millis_testing
3.9963722229003906
wall_clock_time_millis_testing
3.9980411529541016
wall_clock_time_millis_testing
4.97746467590332
wall_clock_time_millis_testing
3.017425537109375
wall_clock_time_millis_testing
3.996610641479492
wall_clock_time_millis_training
3117.1927452087402
wall_clock_time_millis_training
3099.2236137390137
wall_clock_time_millis_training
3108.215808868408
wall_clock_time_millis_training
3115.191698074341
wall_clock_time_millis_training
3130.2361488342285
wall_clock_time_millis_training
3130.2051544189453
wall_clock_time_millis_training
3122.229814529419
wall_clock_time_millis_training
3103.220224380493
wall_clock_time_millis_training
3304.1059970855713
wall_clock_time_millis_training
3322.0930099487305
weighted_recall
0.13 [0.95,0,0.1,0.25,0,0,0,0,0,0]
weighted_recall
0.125 [1,0,0.15,0.1,0,0,0,0,0,0]
weighted_recall
0.115 [0.95,0,0.05,0.15,0,0,0,0,0,0]
weighted_recall
0.12 [1,0,0.05,0.1,0,0,0,0,0.05,0]
weighted_recall
0.135 [1,0,0.1,0.25,0,0,0,0,0,0]
weighted_recall
0.115 [1,0,0.15,0,0,0,0,0,0,0]
weighted_recall
0.115 [0.95,0,0,0.2,0,0,0,0,0,0]
weighted_recall
0.12 [1,0,0,0.1,0,0,0,0,0.1,0]
weighted_recall
0.145 [1,0.05,0.15,0.25,0,0,0,0,0,0]
weighted_recall
0.13 [1,0,0.1,0.15,0,0,0,0,0.05,0]