10455022
12269
Marc Zöller
3735
Supervised Classification
predictive_accuracy
17758
sklearn.pipeline.Pipeline(step_0=sklearn.preprocessing._data.Normalizer,step_1=sklearn.discriminant_analysis.LinearDiscriminantAnalysis)(1)
8266845
n_components
166
17705
priors
null
17705
shrinkage
null
17705
solver
"svd"
17705
store_covariance
false
17705
tol
0.0006616547289116118
17705
copy
false
17752
norm
"l1"
17752
memory
null
17758
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "step_0", "step_name": "step_0"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "step_1", "step_name": "step_1"}}]
17758
verbose
false
17758
automl_meta_features
openml-python
Sklearn_0.22.1.
871
pollen
https://www.openml.org/data/download/53405/pollen.arff
-1
21834663
description
https://api.openml.org/data/download/21834663/description.xml
-1
21834664
predictions
https://api.openml.org/data/download/21834664/predictions.arff
area_under_roc_curve
0.496063781276879 [0.496064,0.496064]
average_cost
0
f_measure
0.4993238970767061 [0.508172,0.490476]
kappa
-0.0010395010395010118
kb_relative_information_score
-0.00033346980959746207
mean_absolute_error
0.5001193785459979
mean_prior_absolute_error
0.5
weighted_recall
0.4994802494802495 [0.517152,0.481809]
number_of_instances
3848 [1924,1924]
precision
0.49947959943221154 [0.499498,0.499461]
predictive_accuracy
0.4994802494802495
prior_entropy
1
relative_absolute_error
1.0002387570919957
root_mean_prior_squared_error
0.5
root_mean_squared_error
0.5003408678578145
root_relative_squared_error
1.000681735715629
total_cost
0
unweighted_recall
0.4994802494802495 [0.517152,0.481809]
area_under_roc_curve
0.49851575993091535 [0.498516,0.498516]
area_under_roc_curve
0.5079069516407599 [0.507907,0.507907]
area_under_roc_curve
0.5016731433506045 [0.501673,0.501673]
area_under_roc_curve
0.488935664939551 [0.488936,0.488936]
area_under_roc_curve
0.48189227115716754 [0.481892,0.481892]
area_under_roc_curve
0.4473769430051814 [0.447377,0.447377]
area_under_roc_curve
0.49230893782383417 [0.492309,0.492309]
area_under_roc_curve
0.5636199265975821 [0.56362,0.56362]
area_under_roc_curve
0.4819607204861111 [0.481961,0.481961]
area_under_roc_curve
0.537841796875 [0.537842,0.537842]
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
0.5038961038961038 [0.503896,0.503896]
f_measure
0.4882909751207765 [0.490956,0.48564]
f_measure
0.5142791603657473 [0.511749,0.516796]
f_measure
0.49059980952193943 [0.502538,0.478723]
f_measure
0.49088848216607706 [0.494845,0.486911]
f_measure
0.46222881572873814 [0.470588,0.453826]
f_measure
0.48811828690744197 [0.498728,0.477454]
f_measure
0.5470066210368109 [0.569307,0.52459]
f_measure
0.4857201128522384 [0.511166,0.460274]
f_measure
0.5207813347802496 [0.525773,0.515789]
kappa
0.007798901677168553
kappa
-0.023342103487823028
kappa
0.028551766944178294
kappa
-0.01805132079544531
kappa
-0.018216165159897414
kappa
-0.07540448270743662
kappa
-0.0234801970177452
kappa
0.09587820876184303
kappa
-0.02604166666666663
kappa
0.04166666666666674
kb_relative_information_score
-0.00026309465970743724
kb_relative_information_score
0.00047376455841824415
kb_relative_information_score
0.00006517807063213716
kb_relative_information_score
-0.0004690081927864581
kb_relative_information_score
-0.001549447297638533
kb_relative_information_score
-0.005244436515865079
kb_relative_information_score
-0.00024797850816170915
kb_relative_information_score
0.002822260706580828
kb_relative_information_score
-0.0006645711955488485
kb_relative_information_score
0.0017471792176901426
mean_absolute_error
0.5000930473506494
mean_absolute_error
0.49983295324675303
mean_absolute_error
0.49997888897402626
mean_absolute_error
0.5001602018831165
mean_absolute_error
0.5005527018051948
mean_absolute_error
0.5018695750779216
mean_absolute_error
0.5000817976233761
mean_absolute_error
0.49901039058441526
mean_absolute_error
0.5002250307552082
mean_absolute_error
0.4993875717838539
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
number_of_instances
385 [192,193]
number_of_instances
385 [192,193]
number_of_instances
385 [192,193]
number_of_instances
385 [192,193]
number_of_instances
385 [193,192]
number_of_instances
385 [193,192]
number_of_instances
385 [193,192]
number_of_instances
385 [193,192]
number_of_instances
384 [192,192]
number_of_instances
384 [192,192]
precision
0.503902903012359 [0.502591,0.505208]
precision
0.4883295651716705 [0.487179,0.489474]
precision
0.5142795456823632 [0.513089,0.515464]
precision
0.4909533576308451 [0.490099,0.491803]
precision
0.4908943687891057 [0.492308,0.489474]
precision
0.4622759296556088 [0.464646,0.459893]
precision
0.4882478062478063 [0.49,0.486486]
precision
0.548365215434998 [0.545024,0.551724]
precision
0.48685039585787465 [0.488152,0.485549]
precision
0.5208423795049936 [0.520408,0.521277]
predictive_accuracy
0.5038961038961038
predictive_accuracy
0.4883116883116883
predictive_accuracy
0.5142857142857143
predictive_accuracy
0.49090909090909096
predictive_accuracy
0.49090909090909096
predictive_accuracy
0.4623376623376623
predictive_accuracy
0.4883116883116883
predictive_accuracy
0.548051948051948
predictive_accuracy
0.48697916666666663
predictive_accuracy
0.5208333333333334
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
relative_absolute_error
1.0001860947012988
relative_absolute_error
0.9996659064935061
relative_absolute_error
0.9999577779480525
relative_absolute_error
1.000320403766233
relative_absolute_error
1.0011054036103897
relative_absolute_error
1.0037391501558433
relative_absolute_error
1.0001635952467522
relative_absolute_error
0.9980207811688305
relative_absolute_error
1.0004500615104164
relative_absolute_error
0.9987751435677077
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_squared_error
0.5003262216672832
root_mean_squared_error
0.4999616051499251
root_mean_squared_error
0.5001893638790029
root_mean_squared_error
0.5003862030335914
root_mean_squared_error
0.5008298331129964
root_mean_squared_error
0.502325058686376
root_mean_squared_error
0.5003292797258926
root_mean_squared_error
0.4990774598000096
root_mean_squared_error
0.5004650462954139
root_mean_squared_error
0.49951013133022626
root_relative_squared_error
1.0006524433345665
root_relative_squared_error
0.9999232102998502
root_relative_squared_error
1.0003787277580058
root_relative_squared_error
1.0007724060671828
root_relative_squared_error
1.001659666225993
root_relative_squared_error
1.004650117372752
root_relative_squared_error
1.0006585594517852
root_relative_squared_error
0.9981549196000192
root_relative_squared_error
1.0009300925908278
root_relative_squared_error
0.9990202626604525
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
0.5038995034542315 [0.505208,0.502591]
unweighted_recall
0.48832847582037997 [0.494792,0.481865]
unweighted_recall
0.5142756908462867 [0.510417,0.518135]
unweighted_recall
0.490973121761658 [0.515625,0.466321]
unweighted_recall
0.49089216321243523 [0.497409,0.484375]
unweighted_recall
0.4623003022452504 [0.476684,0.447917]
unweighted_recall
0.4882610103626943 [0.507772,0.46875]
unweighted_recall
0.5479274611398963 [0.595855,0.5]
unweighted_recall
0.4869791666666667 [0.536458,0.4375]
unweighted_recall
0.5208333333333333 [0.53125,0.510417]
usercpu_time_millis
125
usercpu_time_millis
125
usercpu_time_millis
125
usercpu_time_millis
125
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis_testing
125
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
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_training
0
usercpu_time_millis_training
125
usercpu_time_millis_training
125
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
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
wall_clock_time_millis
8.855342864990234
wall_clock_time_millis
7.805824279785156
wall_clock_time_millis
7.4138641357421875
wall_clock_time_millis
7.3680877685546875
wall_clock_time_millis
3.0908584594726562
wall_clock_time_millis
3.0214786529541016
wall_clock_time_millis
3.1938552856445312
wall_clock_time_millis
2.9821395874023438
wall_clock_time_millis
3.1375885009765625
wall_clock_time_millis
3.0624866485595703
wall_clock_time_millis_testing
0.8602142333984375
wall_clock_time_millis_testing
0.42819976806640625
wall_clock_time_millis_testing
0.42176246643066406
wall_clock_time_millis_testing
0.4305839538574219
wall_clock_time_millis_testing
0.1952648162841797
wall_clock_time_millis_testing
0.19550323486328125
wall_clock_time_millis_testing
0.19860267639160156
wall_clock_time_millis_testing
0.19693374633789062
wall_clock_time_millis_testing
0.1957416534423828
wall_clock_time_millis_testing
0.1964569091796875
wall_clock_time_millis_training
7.995128631591797
wall_clock_time_millis_training
7.37762451171875
wall_clock_time_millis_training
6.992101669311523
wall_clock_time_millis_training
6.937503814697266
wall_clock_time_millis_training
2.8955936431884766
wall_clock_time_millis_training
2.8259754180908203
wall_clock_time_millis_training
2.9952526092529297
wall_clock_time_millis_training
2.785205841064453
wall_clock_time_millis_training
2.9418468475341797
wall_clock_time_millis_training
2.866029739379883
weighted_recall
0.5038961038961038 [0.505208,0.502591]
weighted_recall
0.4883116883116883 [0.494792,0.481865]
weighted_recall
0.5142857142857142 [0.510417,0.518135]
weighted_recall
0.4909090909090909 [0.515625,0.466321]
weighted_recall
0.4909090909090909 [0.497409,0.484375]
weighted_recall
0.4623376623376623 [0.476684,0.447917]
weighted_recall
0.4883116883116883 [0.507772,0.46875]
weighted_recall
0.548051948051948 [0.595855,0.5]
weighted_recall
0.4869791666666667 [0.536458,0.4375]
weighted_recall
0.5208333333333334 [0.53125,0.510417]