10558751
8323
Heinrich Peters
9960
Supervised Classification
18591
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)
8275915
copy
true
17405
with_mean
true
17405
with_std
true
17405
add_indicator
false
17407
copy
true
17407
fill_value
null
17407
missing_values
NaN
17407
strategy
"median"
17407
verbose
0
17407
C
0.165918932915
17462
class_weight
null
17462
dual
false
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
57
17462
multi_class
"warn"
17462
n_jobs
null
17462
penalty
"l2"
17462
random_state
1
17462
solver
"liblinear"
17462
tol
0.0001
17462
verbose
0
17462
warm_start
false
17462
memory
null
18591
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": "logisticregression", "step_name": "logisticregression"}}]
18591
verbose
false
18591
openml-python
Sklearn_0.21.2.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22042466
description
https://api.openml.org/data/download/22042466/description.xml
-1
22042467
predictions
https://api.openml.org/data/download/22042467/predictions.arff
area_under_roc_curve
0.8696906564524319 [0.851627,0.864232,0.964168,0.894255]
average_cost
0
f_measure
0.6671735248558273 [0.711512,0.720613,0.513966,0.473979]
kappa
0.49615952777749406
kb_relative_information_score
0.44756996179236735
mean_absolute_error
0.22173460018026617
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.6785190615835777 [0.714739,0.806867,0.420732,0.358354]
number_of_instances
5456 [2205,2097,328,826]
precision
0.6821115740405369 [0.708315,0.65102,0.660287,0.699764]
predictive_accuracy
0.6785190615835778
prior_entropy
1.7146330399083418
relative_absolute_error
0.6694114189013505
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.3251917750980192
root_relative_squared_error
0.7991078435342803
total_cost
0
unweighted_recall
0.5751728500069 [0.714739,0.806867,0.420732,0.358354]
area_under_roc_curve
0.8688578340371701 [0.854981,0.860913,0.959537,0.890112]
area_under_roc_curve
0.862217347131963 [0.851974,0.849263,0.958178,0.884383]
area_under_roc_curve
0.8577512596823649 [0.833394,0.849249,0.966153,0.900726]
area_under_roc_curve
0.8732972861889636 [0.848815,0.878359,0.948668,0.895418]
area_under_roc_curve
0.866805813235959 [0.83536,0.864753,0.961782,0.917588]
area_under_roc_curve
0.8653435094536887 [0.854504,0.856505,0.962195,0.877931]
area_under_roc_curve
0.8641593209865802 [0.842308,0.857456,0.977217,0.895452]
area_under_roc_curve
0.8825347945358407 [0.876683,0.865901,0.983004,0.901267]
area_under_roc_curve
0.8884259934718548 [0.877269,0.88719,0.959517,0.893036]
area_under_roc_curve
0.8710974414505336 [0.843822,0.876908,0.968928,0.890428]
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
0.6486112498025569 [0.705357,0.706897,0.45283,0.425197]
f_measure
0.6517662317201488 [0.7,0.696774,0.539683,0.451613]
f_measure
0.6697040408706479 [0.698851,0.714588,0.588235,0.511278]
f_measure
0.6696151163869756 [0.709677,0.736402,0.347826,0.522388]
f_measure
0.6657062246575862 [0.699332,0.715203,0.481481,0.52459]
f_measure
0.6539932253783752 [0.707483,0.710638,0.575758,0.4]
f_measure
0.6658151854524137 [0.711497,0.712088,0.509804,0.487805]
f_measure
0.6838215932457465 [0.746137,0.725702,0.62963,0.433333]
f_measure
0.6709042457593589 [0.715596,0.731809,0.5,0.464]
f_measure
0.6863184091287354 [0.720554,0.754167,0.470588,0.507937]
kappa
0.4690921323038594
kappa
0.4731736320821141
kappa
0.4964630427264439
kappa
0.5030984670741844
kappa
0.4909184770012011
kappa
0.4829951190420138
kappa
0.49148319169578053
kappa
0.5239343116701608
kappa
0.5030772737633917
kappa
0.5279192106986669
kb_relative_information_score
0.4468080140974827
kb_relative_information_score
0.43399817791938494
kb_relative_information_score
0.4398880430462237
kb_relative_information_score
0.4452124001237592
kb_relative_information_score
0.4502998115440102
kb_relative_information_score
0.43833933657152024
kb_relative_information_score
0.45458370495258393
kb_relative_information_score
0.4641974539805641
kb_relative_information_score
0.457762039436743
kb_relative_information_score
0.44471439091038895
mean_absolute_error
0.22207681150255607
mean_absolute_error
0.22550130731403434
mean_absolute_error
0.22429369358145432
mean_absolute_error
0.22148066315400441
mean_absolute_error
0.2211282849008189
mean_absolute_error
0.22485158663964347
mean_absolute_error
0.21909177166567578
mean_absolute_error
0.21778914631401433
mean_absolute_error
0.2164968647988222
mean_absolute_error
0.22461949625088423
mean_prior_absolute_error
0.3311434139730841
mean_prior_absolute_error
0.3311434139730841
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.3311205766710351
mean_prior_absolute_error
0.3311024296804111
mean_prior_absolute_error
0.3311861074705109
mean_prior_absolute_error
0.3311861074705109
number_of_instances
546 [221,210,33,82]
number_of_instances
546 [221,210,33,82]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
545 [220,210,32,83]
number_of_instances
545 [221,209,32,83]
number_of_instances
545 [221,209,33,82]
number_of_instances
545 [221,209,33,82]
precision
0.6564365196471755 [0.696035,0.645669,0.6,0.6]
precision
0.6633421686201701 [0.703196,0.635294,0.566667,0.666667]
precision
0.685746977106956 [0.706977,0.642586,0.833333,0.68]
precision
0.6840598560292264 [0.719626,0.656716,0.615385,0.686275]
precision
0.6883149703720719 [0.68559,0.649805,0.619048,0.820513]
precision
0.6755219469444583 [0.705882,0.642308,0.575758,0.71875]
precision
0.6838741711334181 [0.680498,0.661224,0.684211,0.75]
precision
0.7014218100725785 [0.728448,0.661417,0.772727,0.702703]
precision
0.6922772625158448 [0.725581,0.647059,0.8,0.674419]
precision
0.7043108459630396 [0.735849,0.667897,0.666667,0.727273]
predictive_accuracy
0.6611721611721612
predictive_accuracy
0.6611721611721612
predictive_accuracy
0.6776556776556777
predictive_accuracy
0.6831501831501832
predictive_accuracy
0.6758241758241758
predictive_accuracy
0.6684981684981685
predictive_accuracy
0.6770642201834862
predictive_accuracy
0.6972477064220183
predictive_accuracy
0.6844036697247706
predictive_accuracy
0.6990825688073394
prior_entropy
1.7138246699606299
prior_entropy
1.7138246699606299
prior_entropy
1.7164171123716554
prior_entropy
1.7164171123716554
prior_entropy
1.7164171123716554
prior_entropy
1.7164171123716554
prior_entropy
1.7121302787024806
prior_entropy
1.711997401430895
prior_entropy
1.714437400963805
prior_entropy
1.714437400963805
relative_absolute_error
0.6706363531077408
relative_absolute_error
0.6809777812231032
relative_absolute_error
0.6768582324766735
relative_absolute_error
0.668369260840316
relative_absolute_error
0.6673058777473457
relative_absolute_error
0.6785418041511478
relative_absolute_error
0.6616676434558798
relative_absolute_error
0.6577697014311561
relative_absolute_error
0.6537015288846295
relative_absolute_error
0.6782274110664034
root_mean_prior_squared_error
0.4068271240296317
root_mean_prior_squared_error
0.4068271240296317
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.4067990554858411
root_mean_prior_squared_error
0.40677675026179705
root_mean_prior_squared_error
0.4068795919478491
root_mean_prior_squared_error
0.4068795919478491
root_mean_squared_error
0.3254851802761762
root_mean_squared_error
0.3294072805711197
root_mean_squared_error
0.3296996909432596
root_mean_squared_error
0.32447377947436484
root_mean_squared_error
0.3260986966091359
root_mean_squared_error
0.3279492596801882
root_mean_squared_error
0.32567200028251614
root_mean_squared_error
0.31876917427437007
root_mean_squared_error
0.3186260594370134
root_mean_squared_error
0.32551187883992005
root_relative_squared_error
0.800057717519516
root_relative_squared_error
0.8096984225346954
root_relative_squared_error
0.809851524118794
root_relative_squared_error
0.7970149565263704
root_relative_squared_error
0.8010062906231548
root_relative_squared_error
0.8055518857957858
root_relative_squared_error
0.8005721642926759
root_relative_squared_error
0.783646494223708
root_relative_squared_error
0.7830966844801904
root_relative_squared_error
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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
0.547197290992126 [0.714932,0.780952,0.363636,0.329268]
unweighted_recall
0.5812190200999383 [0.696833,0.771429,0.515152,0.341463]
unweighted_recall
0.5899637511083294 [0.690909,0.804762,0.454545,0.409639]
unweighted_recall
0.5505515568768581 [0.7,0.838095,0.242424,0.421687]
unweighted_recall
0.5720890053721379 [0.713636,0.795238,0.393939,0.385542]
unweighted_recall
0.58929875345538 [0.709091,0.795238,0.575758,0.277108]
unweighted_recall
0.5711447250039118 [0.745455,0.771429,0.40625,0.361446]
unweighted_recall
0.6032591613993264 [0.764706,0.803828,0.53125,0.313253]
unweighted_recall
0.5663206290802002 [0.705882,0.842105,0.363636,0.353659]
unweighted_recall
0.5814478317876339 [0.705882,0.866029,0.363636,0.390244]
usercpu_time_millis
162.36000000026252
usercpu_time_millis
215.00800000103482
usercpu_time_millis
256.49800000064715
usercpu_time_millis
269.90400000067893
usercpu_time_millis
250.24200000189012
usercpu_time_millis
255.53199999922072
usercpu_time_millis
260.0399999992078
usercpu_time_millis
203.51399999890418
usercpu_time_millis
226.76999999930558
usercpu_time_millis
256.60599999901024
usercpu_time_millis_testing
1.427999999577878
usercpu_time_millis_testing
1.7320000006293412
usercpu_time_millis_testing
2.754000001004897
usercpu_time_millis_testing
2.7179999997315463
usercpu_time_millis_testing
2.5560000012774253
usercpu_time_millis_testing
2.727999999478925
usercpu_time_millis_testing
2.411999999822001
usercpu_time_millis_testing
1.6799999993963866
usercpu_time_millis_testing
2.4979999998322455
usercpu_time_millis_testing
2.4819999998726416
usercpu_time_millis_training
160.93200000068464
usercpu_time_millis_training
213.27600000040547
usercpu_time_millis_training
253.74399999964226
usercpu_time_millis_training
267.1860000009474
usercpu_time_millis_training
247.6860000006127
usercpu_time_millis_training
252.8039999997418
usercpu_time_millis_training
257.6279999993858
usercpu_time_millis_training
201.8339999995078
usercpu_time_millis_training
224.27199999947334
usercpu_time_millis_training
254.1239999991376
wall_clock_time_millis
82.86690711975098
wall_clock_time_millis
106.24289512634277
wall_clock_time_millis
76.33852958679199
wall_clock_time_millis
73.04811477661133
wall_clock_time_millis
63.83657455444336
wall_clock_time_millis
70.63937187194824
wall_clock_time_millis
66.37287139892578
wall_clock_time_millis
242.90156364440918
wall_clock_time_millis
84.63907241821289
wall_clock_time_millis
90.00897407531738
wall_clock_time_millis_testing
0.6849765777587891
wall_clock_time_millis_testing
1.9788742065429688
wall_clock_time_millis_testing
0.6957054138183594
wall_clock_time_millis_testing
0.6830692291259766
wall_clock_time_millis_testing
0.6504058837890625
wall_clock_time_millis_testing
0.8661746978759766
wall_clock_time_millis_testing
0.6079673767089844
wall_clock_time_millis_testing
9.816169738769531
wall_clock_time_millis_testing
0.6248950958251953
wall_clock_time_millis_testing
0.6239414215087891
wall_clock_time_millis_training
82.18193054199219
wall_clock_time_millis_training
104.2640209197998
wall_clock_time_millis_training
75.64282417297363
wall_clock_time_millis_training
72.36504554748535
wall_clock_time_millis_training
63.1861686706543
wall_clock_time_millis_training
69.77319717407227
wall_clock_time_millis_training
65.7649040222168
wall_clock_time_millis_training
233.08539390563965
wall_clock_time_millis_training
84.0141773223877
wall_clock_time_millis_training
89.3850326538086
weighted_recall
0.6611721611721612 [0.714932,0.780952,0.363636,0.329268]
weighted_recall
0.6611721611721612 [0.696833,0.771429,0.515152,0.341463]
weighted_recall
0.6776556776556777 [0.690909,0.804762,0.454545,0.409639]
weighted_recall
0.6831501831501832 [0.7,0.838095,0.242424,0.421687]
weighted_recall
0.6758241758241759 [0.713636,0.795238,0.393939,0.385542]
weighted_recall
0.6684981684981685 [0.709091,0.795238,0.575758,0.277108]
weighted_recall
0.6770642201834862 [0.745455,0.771429,0.40625,0.361446]
weighted_recall
0.6972477064220184 [0.764706,0.803828,0.53125,0.313253]
weighted_recall
0.6844036697247706 [0.705882,0.842105,0.363636,0.353659]
weighted_recall
0.6990825688073394 [0.705882,0.866029,0.363636,0.390244]