10588204
32117
VAIBHAV JAISWAL
18
Supervised Classification
19163
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.naive_bayes.GaussianNB)(1)
8304081
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
19163
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"}}]
19163
verbose
false
19163
priors
null
19164
var_smoothing
1e-09
19164
openml-python
Sklearn_1.0.2.
18
mfeat-morphological
https://www.openml.org/data/download/18/dataset_18_mfeat-morphological.arff
-1
22103975
description
https://api.openml.org/data/download/22103975/description.xml
-1
22103976
predictions
https://api.openml.org/data/download/22103976/predictions.arff
area_under_roc_curve
0.5256758333333333 [0.994706,0.486331,0.741986,0.734797,0.656828,0.141336,0.170358,0.423806,0.546578,0.360033]
average_cost
0
kappa
0.017222222222222222
kb_relative_information_score
0.09175018514538971
mean_absolute_error
0.1750679615780684
mean_prior_absolute_error
0.18000000000000554
weighted_recall
0.1155 [0.985,0,0.115,0.02,0,0,0,0,0.03,0.005]
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
predictive_accuracy
0.1155
prior_entropy
3.3219280948872383
relative_absolute_error
0.9725997865447944
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.39875526214622503
root_relative_squared_error
1.3291842071540632
total_cost
0
unweighted_recall
0.1155 [0.985,0,0.115,0.02,0,0,0,0,0.03,0.005]
area_under_roc_curve
0.5323055555555556 [0.982778,0.459444,0.707222,0.747222,0.653056,0.103056,0.158333,0.448056,0.613889,0.45]
area_under_roc_curve
0.5251527777777778 [1,0.475833,0.753333,0.751944,0.661667,0.082222,0.166667,0.420833,0.558056,0.380972]
area_under_roc_curve
0.5215416666666666 [0.983333,0.471389,0.683611,0.745833,0.658056,0.130278,0.193333,0.445278,0.542222,0.362083]
area_under_roc_curve
0.5220694444444445 [1,0.491944,0.73,0.741389,0.66,0.070278,0.169444,0.435556,0.535,0.387083]
area_under_roc_curve
0.5265277777777778 [1,0.489167,0.733889,0.754444,0.701111,0.091389,0.166667,0.396111,0.5625,0.37]
area_under_roc_curve
0.5211527777777777 [1,0.520278,0.776111,0.633333,0.645,0.097778,0.166667,0.422778,0.555,0.394583]
area_under_roc_curve
0.5247916666666667 [0.985,0.484444,0.720278,0.708611,0.656111,0.129444,0.181111,0.450833,0.520278,0.411806]
area_under_roc_curve
0.5256527777777777 [1,0.471389,0.744167,0.745833,0.650278,0.083333,0.166667,0.437778,0.596667,0.360417]
area_under_roc_curve
0.538125 [1,0.508889,0.825278,0.7325,0.64375,0.081111,0.166667,0.438333,0.5675,0.417222]
area_under_roc_curve
0.5180277777777778 [1,0.479167,0.744167,0.786389,0.642778,0.071389,0.169444,0.433333,0.684167,0.169444]
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
kappa
0.005555555555555545
kappa
0.02222222222222221
kappa
-0.00555555555555556
kappa
0.016666666666666666
kappa
0.016666666666666666
kappa
0.016666666666666666
kappa
0.011111111111111105
kappa
0.011111111111111105
kappa
0.05555555555555554
kappa
0.02222222222222221
kb_relative_information_score
0.07743042101650721
kb_relative_information_score
0.09045064985438607
kb_relative_information_score
0.07825880330875484
kb_relative_information_score
0.08444902349162874
kb_relative_information_score
0.08920195146540362
kb_relative_information_score
0.0947747748256988
kb_relative_information_score
0.08371020688581804
kb_relative_information_score
0.09621021091362404
kb_relative_information_score
0.12494694186275022
kb_relative_information_score
0.09806886782928938
mean_absolute_error
0.17734260364637017
mean_absolute_error
0.17537769038304535
mean_absolute_error
0.1774325434110014
mean_absolute_error
0.17595817582192744
mean_absolute_error
0.17521575441315437
mean_absolute_error
0.17473993010652505
mean_absolute_error
0.17671896223177264
mean_absolute_error
0.17416466620685064
mean_absolute_error
0.16965340577216964
mean_absolute_error
0.17407588378790328
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]
predictive_accuracy
0.105
predictive_accuracy
0.12
predictive_accuracy
0.095
predictive_accuracy
0.115
predictive_accuracy
0.115
predictive_accuracy
0.115
predictive_accuracy
0.11
predictive_accuracy
0.11
predictive_accuracy
0.15
predictive_accuracy
0.12
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
0.9852366869242798
relative_absolute_error
0.9743205021280308
relative_absolute_error
0.9857363522833422
relative_absolute_error
0.9775454212329313
relative_absolute_error
0.9734208578508587
relative_absolute_error
0.9707773894806959
relative_absolute_error
0.9817720123987379
relative_absolute_error
0.9675814789269491
relative_absolute_error
0.942518920956499
relative_absolute_error
0.9670882432661305
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
0.3986914767815732
root_mean_squared_error
0.3992766251646499
root_mean_squared_error
0.4020367100399219
root_mean_squared_error
0.4000211996610034
root_mean_squared_error
0.39944789991251783
root_mean_squared_error
0.3991485874314824
root_mean_squared_error
0.4047125818620735
root_mean_squared_error
0.3971144698108645
root_mean_squared_error
0.3889827390169534
root_mean_squared_error
0.3979352089689044
root_relative_squared_error
1.3289715892719114
root_relative_squared_error
1.3309220838821672
root_relative_squared_error
1.3401223667997406
root_relative_squared_error
1.3334039988700122
root_relative_squared_error
1.3314929997083933
root_relative_squared_error
1.3304952914382755
root_relative_squared_error
1.3490419395402458
root_relative_squared_error
1.3237148993695493
root_relative_squared_error
1.2966091300565123
root_relative_squared_error
1.3264506965630156
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
0.10500000000000001 [0.95,0,0.1,0,0,0,0,0,0,0]
unweighted_recall
0.12 [1,0,0.15,0,0,0,0,0,0.05,0]
unweighted_recall
0.095 [0.95,0,0,0,0,0,0,0,0,0]
unweighted_recall
0.11499999999999999 [1,0,0.15,0,0,0,0,0,0,0]
unweighted_recall
0.11500000000000002 [1,0,0.1,0,0,0,0,0,0.05,0]
unweighted_recall
0.11499999999999999 [1,0,0.15,0,0,0,0,0,0,0]
unweighted_recall
0.10999999999999999 [0.95,0,0.15,0,0,0,0,0,0,0]
unweighted_recall
0.11000000000000001 [1,0,0,0,0,0,0,0,0.1,0]
unweighted_recall
0.15 [1,0,0.2,0.2,0,0,0,0,0.05,0.05]
unweighted_recall
0.12 [1,0,0.15,0,0,0,0,0,0.05,0]
usercpu_time_millis
15.625
usercpu_time_millis
15.625
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
0
usercpu_time_millis
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
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
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
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
usercpu_time_millis_training
0
wall_clock_time_millis
18.024206161499023
wall_clock_time_millis
17.989397048950195
wall_clock_time_millis
16.99042320251465
wall_clock_time_millis
9.993791580200195
wall_clock_time_millis
4.997730255126953
wall_clock_time_millis
4.997730255126953
wall_clock_time_millis
4.996776580810547
wall_clock_time_millis
4.997491836547852
wall_clock_time_millis
4.997730255126953
wall_clock_time_millis
4.99725341796875
wall_clock_time_millis_testing
3.996133804321289
wall_clock_time_millis_testing
3.0226707458496094
wall_clock_time_millis_testing
3.997325897216797
wall_clock_time_millis_testing
1.9998550415039062
wall_clock_time_millis_testing
0.9982585906982422
wall_clock_time_millis_testing
1.0008811950683594
wall_clock_time_millis_testing
0.9999275207519531
wall_clock_time_millis_testing
0.9992122650146484
wall_clock_time_millis_testing
1.0001659393310547
wall_clock_time_millis_testing
0.9984970092773438
wall_clock_time_millis_training
14.028072357177734
wall_clock_time_millis_training
14.966726303100586
wall_clock_time_millis_training
12.993097305297852
wall_clock_time_millis_training
7.993936538696289
wall_clock_time_millis_training
3.999471664428711
wall_clock_time_millis_training
3.9968490600585938
wall_clock_time_millis_training
3.9968490600585938
wall_clock_time_millis_training
3.998279571533203
wall_clock_time_millis_training
3.9975643157958984
wall_clock_time_millis_training
3.9987564086914062
weighted_recall
0.105 [0.95,0,0.1,0,0,0,0,0,0,0]
weighted_recall
0.12 [1,0,0.15,0,0,0,0,0,0.05,0]
weighted_recall
0.095 [0.95,0,0,0,0,0,0,0,0,0]
weighted_recall
0.115 [1,0,0.15,0,0,0,0,0,0,0]
weighted_recall
0.115 [1,0,0.1,0,0,0,0,0,0.05,0]
weighted_recall
0.115 [1,0,0.15,0,0,0,0,0,0,0]
weighted_recall
0.11 [0.95,0,0.15,0,0,0,0,0,0,0]
weighted_recall
0.11 [1,0,0,0,0,0,0,0,0.1,0]
weighted_recall
0.15 [1,0,0.2,0.2,0,0,0,0,0.05,0.05]
weighted_recall
0.12 [1,0,0.15,0,0,0,0,0,0.05,0]