10327516
8323
Heinrich Peters
14970
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8183181
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
0.16325663015546255
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.7270029854979925
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.00779721868752527
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
26514
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
memory
null
16345
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16345
verbose
false
16345
openml-python
Sklearn_0.21.2.
1478
har
https://www.openml.org/data/download/1589271/php88ZB4Q
-1
21576718
description
https://api.openml.org/data/download/21576718/description.xml
-1
21576719
predictions
https://api.openml.org/data/download/21576719/predictions.arff
area_under_roc_curve
0.9346963758316299 [0.914109,0.912795,0.937106,0.926215,0.946586,0.964679]
average_cost
0
f_measure
0.8945290173179099 [0.904084,0.892832,0.755901,0.89587,0.920011,0.961467]
kappa
0.8664116562507753
kb_relative_information_score
0.8771414609461462
mean_absolute_error
0.037123345308605595
mean_prior_absolute_error
0.27709458719152297
number_of_instances
10299 [1722,1544,1406,1777,1906,1944]
precision
0.9156203942901231 [0.993737,0.964662,0.620046,0.927152,0.932149,0.994502]
predictive_accuracy
0.8886299640741819
prior_entropy
2.575922879508845
recall
0.8886299640741819 [0.829268,0.830959,0.967994,0.866629,0.908185,0.930556]
relative_absolute_error
0.13397354919440047
root_mean_prior_squared_error
0.3722191487615371
root_mean_squared_error
0.19267419471378516
root_relative_squared_error
0.5176364390570949
total_cost
0
area_under_roc_curve
0.9398470253043048 [0.930233,0.902452,0.929494,0.938539,0.958583,0.968474]
area_under_roc_curve
0.924321646066228 [0.912791,0.919152,0.927648,0.904705,0.931447,0.947257]
area_under_roc_curve
0.9249874940761436 [0.898256,0.892774,0.919944,0.937826,0.941089,0.950433]
area_under_roc_curve
0.939290382716245 [0.927326,0.933198,0.951679,0.903657,0.946241,0.971649]
area_under_roc_curve
0.9312013587393131 [0.909821,0.914836,0.928105,0.917702,0.953979,0.955587]
area_under_roc_curve
0.9358759216657778 [0.88381,0.910625,0.941727,0.936316,0.951942,0.981959]
area_under_roc_curve
0.9408007693996125 [0.937788,0.921507,0.949038,0.933969,0.946679,0.953247]
area_under_roc_curve
0.9350089507137361 [0.924419,0.906237,0.937838,0.932952,0.930617,0.971196]
area_under_roc_curve
0.933302451274246 [0.899415,0.919795,0.938572,0.91339,0.959051,0.962905]
area_under_roc_curve
0.9423456209898303 [0.917438,0.907377,0.946907,0.943175,0.946316,0.984016]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.9030050817331138 [0.925,0.875,0.751412,0.915942,0.941489,0.965517]
f_measure
0.8787818352001892 [0.904459,0.89726,0.725806,0.867257,0.900804,0.940541]
f_measure
0.8797388044512517 [0.886731,0.863158,0.716981,0.903409,0.91689,0.945946]
f_measure
0.9007613801505764 [0.92163,0.918367,0.797688,0.871642,0.899743,0.970822]
f_measure
0.8894027090863905 [0.898734,0.889655,0.737705,0.888235,0.930851,0.951613]
f_measure
0.8965638088034275 [0.86645,0.894366,0.749326,0.915452,0.930481,0.981627]
f_measure
0.9045131412223095 [0.929231,0.912281,0.776536,0.904899,0.924731,0.949062]
f_measure
0.8946150335940912 [0.918239,0.884211,0.764045,0.892045,0.905149,0.968421]
f_measure
0.8918870962260393 [0.881789,0.902778,0.756906,0.888889,0.927461,0.957672]
f_measure
0.9056113782762906 [0.90566,0.890459,0.788406,0.909091,0.922667,0.981818]
kappa
0.8765359502253744
kappa
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kappa
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kappa
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kappa
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kappa
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kappa
0.8788839504274453
kappa
0.8672096497487705
kappa
0.8637241054880137
kappa
0.882165865073912
kb_relative_information_score
0.885831026028336
kb_relative_information_score
0.8582602087078399
kb_relative_information_score
0.8584212979619514
kb_relative_information_score
0.8867997892606035
kb_relative_information_score
0.8704436384258465
kb_relative_information_score
0.8787303715871688
kb_relative_information_score
0.8891698582252245
kb_relative_information_score
0.8778661585558761
kb_relative_information_score
0.8746896219880385
kb_relative_information_score
0.8912163146591944
mean_absolute_error
0.034304207119741074
mean_absolute_error
0.04304207119741104
mean_absolute_error
0.04271844660194178
mean_absolute_error
0.034304207119741074
mean_absolute_error
0.03915857605177994
mean_absolute_error
0.03656957928802588
mean_absolute_error
0.03365695792880256
mean_absolute_error
0.03689320388349514
mean_absolute_error
0.037864077669902914
mean_absolute_error
0.03271784904437962
mean_prior_absolute_error
0.27709199511972005
mean_prior_absolute_error
0.27709199511972005
mean_prior_absolute_error
0.27709199511972005
mean_prior_absolute_error
0.2771076974290587
mean_prior_absolute_error
0.27710210740693414
mean_prior_absolute_error
0.27710210740693414
mean_prior_absolute_error
0.27709513558158777
mean_prior_absolute_error
0.2770910843857784
mean_prior_absolute_error
0.2770910843857784
mean_prior_absolute_error
0.27708065643484137
number_of_instances
1030 [172,155,140,178,191,194]
number_of_instances
1030 [172,155,140,178,191,194]
number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
1030 [173,154,141,178,190,194]
number_of_instances
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number_of_instances
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number_of_instances
1030 [172,154,141,177,191,195]
number_of_instances
1029 [172,154,140,177,191,195]
precision
0.92227093974487 [1,0.947368,0.621495,0.946108,0.956757,0.994536]
precision
0.9051476524825998 [1,0.956204,0.581897,0.913043,0.923077,0.988636]
precision
0.9070571363130787 [1,0.946154,0.575758,0.913793,0.93956,0.994318]
precision
0.916573525312734 [1,0.971223,0.673171,0.929936,0.879397,1]
precision
0.9126707501637414 [0.993007,0.948529,0.6,0.932099,0.94086,0.994382]
precision
0.9227298665645345 [0.992537,0.976923,0.604348,0.951515,0.945652,1]
precision
0.9239999169962124 [0.986928,0.992366,0.640553,0.928994,0.945055,0.994382]
precision
0.9138346562647705 [1,0.961832,0.632558,0.897143,0.938202,0.994595]
precision
0.9138551310056744 [0.978723,0.970149,0.61991,0.948718,0.917949,0.989071]
precision
0.9215979265561877 [0.986301,0.976744,0.663415,0.914286,0.940217,0.994737]
predictive_accuracy
0.8970873786407768
predictive_accuracy
0.870873786407767
predictive_accuracy
0.8718446601941747
predictive_accuracy
0.8970873786407768
predictive_accuracy
0.8825242718446602
predictive_accuracy
0.8902912621359224
predictive_accuracy
0.8990291262135922
predictive_accuracy
0.8893203883495145
predictive_accuracy
0.8864077669902913
predictive_accuracy
0.901846452866861
prior_entropy
2.5758425283766972
prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
2.5761156998831467
prior_entropy
2.5761156998831467
prior_entropy
2.575945945073779
prior_entropy
2.575847838744184
prior_entropy
2.575847838744184
prior_entropy
2.5755594010061413
recall
0.8970873786407767 [0.860465,0.812903,0.95,0.88764,0.926702,0.938144]
recall
0.870873786407767 [0.825581,0.845161,0.964286,0.825843,0.879581,0.896907]
recall
0.8718446601941747 [0.796512,0.793548,0.95,0.893258,0.895288,0.902062]
recall
0.8970873786407767 [0.854651,0.870968,0.978723,0.820225,0.921053,0.943299]
recall
0.8825242718446602 [0.820809,0.837662,0.957447,0.848315,0.921053,0.912371]
recall
0.8902912621359224 [0.768786,0.824675,0.985816,0.882022,0.915789,0.963918]
recall
0.8990291262135922 [0.877907,0.844156,0.985816,0.882022,0.905263,0.907692]
recall
0.8893203883495145 [0.848837,0.818182,0.964539,0.887006,0.874346,0.94359]
recall
0.8864077669902912 [0.802326,0.844156,0.971631,0.836158,0.937173,0.928205]
recall
0.901846452866861 [0.837209,0.818182,0.971429,0.903955,0.905759,0.969231]
relative_absolute_error
0.1238007871895384
relative_absolute_error
0.1553349499642324
relative_absolute_error
0.15416701800961408
relative_absolute_error
0.12379377201718895
relative_absolute_error
0.1413146093265693
relative_absolute_error
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relative_absolute_error
0.12146354665577526
relative_absolute_error
0.13314468044064096
relative_absolute_error
0.13664848782065783
relative_absolute_error
0.11808059597286823
root_mean_prior_squared_error
0.37221566682901186
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.37221566682901186
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.3722292504897755
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.3722198854102689
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.37221444343150406
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root_mean_squared_error
0.1852139495819391
root_mean_squared_error
0.2074658313973919
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
0.1920760367237286
root_mean_squared_error
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root_mean_squared_error
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root_relative_squared_error
0.49759847875243396
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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total_cost
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