10558880
8323
Heinrich Peters
14970
Supervised Classification
18591
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1)
8275910
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
100000.0
17462
class_weight
null
17462
dual
false
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
67
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.
1478
har
https://www.openml.org/data/download/1589271/php88ZB4Q
-1
22042724
description
https://api.openml.org/data/download/22042724/description.xml
-1
22042725
predictions
https://api.openml.org/data/download/22042725/predictions.arff
area_under_roc_curve
0.9987379575265357 [0.999991,0.999972,0.999996,0.996108,0.996847,0.999995]
average_cost
0
f_measure
0.9805498719771178 [0.995923,0.996106,0.993922,0.950986,0.953494,0.998456]
kappa
0.976519291394725
kb_relative_information_score
0.9788918387593403
mean_absolute_error
0.007457262593278529
mean_prior_absolute_error
0.27709458719152297
weighted_recall
0.9804835420914652 [0.993031,0.994171,0.98862,0.949916,0.962749,0.997942]
number_of_instances
10299 [1722,1544,1406,1777,1906,1944]
precision
0.9806610951567802 [0.998832,0.998049,0.999281,0.952059,0.944416,0.99897]
predictive_accuracy
0.9804835420914653
prior_entropy
2.575922879508845
relative_absolute_error
0.026912335852032353
root_mean_prior_squared_error
0.3722191487615371
root_mean_squared_error
0.07423957454406521
root_relative_squared_error
0.19945125013336412
total_cost
0
unweighted_recall
0.9810716217333483 [0.993031,0.994171,0.98862,0.949916,0.962749,0.997942]
area_under_roc_curve
0.9990857261555377 [1,1,1,0.997013,0.997853,1]
area_under_roc_curve
0.9990063574801973 [1,1,1,0.996835,0.997591,1]
area_under_roc_curve
0.9983957884512933 [0.999953,0.999926,1,0.994329,0.996736,1]
area_under_roc_curve
0.9985948376342195 [1,1,1,0.994731,0.997318,1]
area_under_roc_curve
0.9986613169730995 [0.999993,0.999652,0.99996,0.995061,0.997694,0.999994]
area_under_roc_curve
0.9991636225117696 [1,1,1,0.997488,0.99782,1]
area_under_roc_curve
0.9991965547329282 [1,1,1,0.997725,0.997776,1]
area_under_roc_curve
0.998492148417313 [1,1,1,0.996357,0.995332,0.999914]
area_under_roc_curve
0.998097496149325 [1,1,1,0.995999,0.993448,1]
area_under_roc_curve
0.9987556206797069 [0.999986,1,1,0.995995,0.99702,1]
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
0.9893369817166389 [1,0.996764,0.996416,0.971591,0.974227,1]
f_measure
0.982587689072556 [0.997085,1,0.996416,0.949721,0.960836,0.997416]
f_measure
0.9776875829629939 [0.997101,0.996764,1,0.937853,0.945455,0.997416]
f_measure
0.98448444533666 [1,1,0.996441,0.957746,0.958115,1]
f_measure
0.9758021406331239 [0.988304,0.980519,0.992908,0.951841,0.950904,0.994845]
f_measure
0.9835674771297226 [0.997101,1,0.989247,0.96338,0.955844,1]
f_measure
0.9864290237118887 [1,1,0.989247,0.963173,0.968912,1]
f_measure
0.9728748699022381 [0.991202,1,1,0.926966,0.931937,0.997442]
f_measure
0.9739728519534555 [0.991202,0.996743,0.989247,0.936288,0.937173,1]
f_measure
0.9787327854026165 [0.997101,0.990164,0.98917,0.951841,0.951157,0.997429]
kappa
0.9871505674504479
kappa
0.97897599248851
kappa
0.9731360208652265
kappa
0.9813136885168761
kappa
0.9708000226795941
kappa
0.98014239411734
kappa
0.9836457316153413
kappa
0.9672960624867466
kappa
0.9684600187357243
kappa
0.9742706435521469
kb_relative_information_score
0.9865721404337957
kb_relative_information_score
0.9802315789171374
kb_relative_information_score
0.9732004153484958
kb_relative_information_score
0.9808215874787234
kb_relative_information_score
0.9763409376110217
kb_relative_information_score
0.9813398442604019
kb_relative_information_score
0.9844773408396221
kb_relative_information_score
0.9713185625700114
kb_relative_information_score
0.9752543128287653
kb_relative_information_score
0.979361665737611
mean_absolute_error
0.004934077079071073
mean_absolute_error
0.007017900314064155
mean_absolute_error
0.009084511517595267
mean_absolute_error
0.006577030875744056
mean_absolute_error
0.008792814017873117
mean_absolute_error
0.006750134268117597
mean_absolute_error
0.005364574029602727
mean_absolute_error
0.009741234188635919
mean_absolute_error
0.008752997009318671
mean_absolute_error
0.007557449901994575
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
1030 [172,155,140,178,191,194]
number_of_instances
1030 [172,155,141,178,190,194]
number_of_instances
1030 [173,154,141,178,190,194]
number_of_instances
1030 [173,154,141,178,190,194]
number_of_instances
1030 [172,154,141,178,190,195]
number_of_instances
1030 [172,154,141,177,191,195]
number_of_instances
1030 [172,154,141,177,191,195]
number_of_instances
1029 [172,154,140,177,191,195]
precision
0.9894899896165957 [1,1,1,0.982759,0.959391,1]
precision
0.9826725997842504 [1,1,1,0.944444,0.958333,1]
precision
0.9777453504791203 [0.99422,1,1,0.943182,0.938144,1]
precision
0.9845186426965059 [1,1,1,0.960452,0.953125,1]
precision
0.9760601251786507 [1,0.980519,0.992908,0.96,0.93401,0.994845]
precision
0.9837360708514238 [1,1,1,0.966102,0.94359,1]
precision
0.9865920348722013 [1,1,1,0.971429,0.954082,1]
precision
0.9729723559435164 [1,1,1,0.921788,0.931937,0.994898]
precision
0.9743404390037991 [1,1,1,0.918478,0.937173,1]
precision
0.9790281066676018 [0.99422,1,1,0.954545,0.934343,1]
predictive_accuracy
0.9893203883495145
predictive_accuracy
0.9825242718446602
predictive_accuracy
0.9776699029126213
predictive_accuracy
0.9844660194174757
predictive_accuracy
0.9757281553398058
predictive_accuracy
0.983495145631068
predictive_accuracy
0.9864077669902913
predictive_accuracy
0.9728155339805825
predictive_accuracy
0.9737864077669903
predictive_accuracy
0.9786200194363459
prior_entropy
2.5758425283766972
prior_entropy
2.5758425283766972
prior_entropy
2.5758425283766972
prior_entropy
2.57626843373114
prior_entropy
2.5761156998831467
prior_entropy
2.5761156998831467
prior_entropy
2.575945945073779
prior_entropy
2.575847838744184
prior_entropy
2.575847838744184
prior_entropy
2.5755594010061413
relative_absolute_error
0.01780663882743802
relative_absolute_error
0.025326968796164643
relative_absolute_error
0.03278518209690693
relative_absolute_error
0.023734565790716863
relative_absolute_error
0.031731314135985844
relative_absolute_error
0.02435973631266827
relative_absolute_error
0.019360044045317368
relative_absolute_error
0.03515535048783361
relative_absolute_error
0.031588879984071824
relative_absolute_error
0.027275270671129635
root_mean_prior_squared_error
0.37221566682901186
root_mean_prior_squared_error
0.37221566682901186
root_mean_prior_squared_error
0.37221566682901186
root_mean_prior_squared_error
0.3722367592572026
root_mean_prior_squared_error
0.3722292504897755
root_mean_prior_squared_error
0.3722292504897755
root_mean_prior_squared_error
0.3722198854102689
root_mean_prior_squared_error
0.37221444343150406
root_mean_prior_squared_error
0.37221444343150406
root_mean_prior_squared_error
0.3722004351798735
root_mean_squared_error
0.057756781665838024
root_mean_squared_error
0.07123275758894548
root_mean_squared_error
0.08513224959018789
root_mean_squared_error
0.07232297169556155
root_mean_squared_error
0.07649450326967379
root_mean_squared_error
0.06808381346865501
root_mean_squared_error
0.06426413391016704
root_mean_squared_error
0.08907522755142501
root_mean_squared_error
0.0806847722345023
root_mean_squared_error
0.07187226518028998
root_relative_squared_error
0.1551702059128271
root_relative_squared_error
0.1913749579532565
root_relative_squared_error
0.2287175344215048
root_relative_squared_error
0.19429293291689362
root_relative_squared_error
0.20550374042078395
root_relative_squared_error
0.18290828401870893
root_relative_squared_error
0.1726509959008066
root_relative_squared_error
0.23931158267322014
root_relative_squared_error
0.21676958983820338
root_relative_squared_error
0.1931009703026173
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
0.9894347471781343 [1,0.993548,0.992857,0.960674,0.989529,1]
unweighted_recall
0.9833825858848514 [0.994186,1,0.992857,0.955056,0.963351,0.994845]
unweighted_recall
0.9789762664560451 [1,0.993548,1,0.932584,0.95288,0.994845]
unweighted_recall
0.9851869793217604 [1,1,0.992908,0.955056,0.963158,1]
unweighted_recall
0.9762320888050177 [0.976879,0.980519,0.992908,0.94382,0.968421,0.994845]
unweighted_recall
0.9836730445615767 [0.99422,1,0.978723,0.960674,0.968421,1]
unweighted_recall
0.9863316850577316 [1,1,0.978723,0.955056,0.984211,1]
unweighted_recall
0.9744497836900434 [0.982558,1,1,0.932203,0.931937,1]
unweighted_recall
0.974460512008802 [0.982558,0.993506,0.978723,0.954802,0.937173,1]
unweighted_recall
0.97861693896169 [1,0.980519,0.978571,0.949153,0.968586,0.994872]
usercpu_time_millis
113025.94599999793
usercpu_time_millis
98936.84200000098
usercpu_time_millis
89388.68000000002
usercpu_time_millis
99985.49200000161
usercpu_time_millis
92693.69600000027
usercpu_time_millis
96971.32000000238
usercpu_time_millis
115817.84599999992
usercpu_time_millis
106127.47800000034
usercpu_time_millis
110159.32600000087
usercpu_time_millis
106161.01000000162
usercpu_time_millis_testing
18.40999999876658
usercpu_time_millis_testing
23.387999999613385
usercpu_time_millis_testing
17.299999999522697
usercpu_time_millis_testing
23.39600000050268
usercpu_time_millis_testing
20.599999999831198
usercpu_time_millis_testing
18.440000001646695
usercpu_time_millis_testing
18.7580000001617
usercpu_time_millis_testing
19.098000000667525
usercpu_time_millis_testing
21.10999999968044
usercpu_time_millis_testing
21.220000000539585
usercpu_time_millis_training
113007.53599999916
usercpu_time_millis_training
98913.45400000137
usercpu_time_millis_training
89371.3800000005
usercpu_time_millis_training
99962.09600000111
usercpu_time_millis_training
92673.09600000044
usercpu_time_millis_training
96952.88000000073
usercpu_time_millis_training
115799.08799999976
usercpu_time_millis_training
106108.37999999967
usercpu_time_millis_training
110138.2160000012
usercpu_time_millis_training
106139.79000000108
wall_clock_time_millis
59358.00504684448
wall_clock_time_millis
51921.257972717285
wall_clock_time_millis
46701.04908943176
wall_clock_time_millis
53173.82311820984
wall_clock_time_millis
48600.30555725098
wall_clock_time_millis
50044.291496276855
wall_clock_time_millis
60365.46611785889
wall_clock_time_millis
55508.67962837219
wall_clock_time_millis
60972.6037979126
wall_clock_time_millis
56926.94616317749
wall_clock_time_millis_testing
8.90493392944336
wall_clock_time_millis_testing
11.250019073486328
wall_clock_time_millis_testing
9.035110473632812
wall_clock_time_millis_testing
12.386083602905273
wall_clock_time_millis_testing
11.836767196655273
wall_clock_time_millis_testing
9.053230285644531
wall_clock_time_millis_testing
9.43613052368164
wall_clock_time_millis_testing
9.239673614501953
wall_clock_time_millis_testing
10.28585433959961
wall_clock_time_millis_testing
13.24009895324707
wall_clock_time_millis_training
59349.10011291504
wall_clock_time_millis_training
51910.0079536438
wall_clock_time_millis_training
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wall_clock_time_millis_training
53161.43703460693
wall_clock_time_millis_training
48588.46879005432
wall_clock_time_millis_training
50035.23826599121
wall_clock_time_millis_training
60356.029987335205
wall_clock_time_millis_training
55499.43995475769
wall_clock_time_millis_training
60962.317943573
wall_clock_time_millis_training
56913.70606422424
weighted_recall
0.9893203883495145 [1,0.993548,0.992857,0.960674,0.989529,1]
weighted_recall
0.9825242718446602 [0.994186,1,0.992857,0.955056,0.963351,0.994845]
weighted_recall
0.9776699029126213 [1,0.993548,1,0.932584,0.95288,0.994845]
weighted_recall
0.9844660194174757 [1,1,0.992908,0.955056,0.963158,1]
weighted_recall
0.9757281553398058 [0.976879,0.980519,0.992908,0.94382,0.968421,0.994845]
weighted_recall
0.983495145631068 [0.99422,1,0.978723,0.960674,0.968421,1]
weighted_recall
0.9864077669902913 [1,1,0.978723,0.955056,0.984211,1]
weighted_recall
0.9728155339805825 [0.982558,1,1,0.932203,0.931937,1]
weighted_recall
0.9737864077669903 [0.982558,0.993506,0.978723,0.954802,0.937173,1]
weighted_recall
0.9786200194363459 [1,0.980519,0.978571,0.949153,0.968586,0.994872]