10500234
8323
Heinrich Peters
3918
Supervised Classification
18601
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)
8275628
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
C
0.01
13106
class_weight
null
13106
dual
false
13106
fit_intercept
true
13106
intercept_scaling
1
13106
l1_ratio
null
13106
max_iter
100
13106
multi_class
"warn"
13106
n_jobs
null
13106
penalty
"l2"
13106
random_state
1
13106
solver
"liblinear"
13106
tol
0.0001
13106
verbose
0
13106
warm_start
false
13106
copy
true
13294
with_mean
true
13294
with_std
true
13294
memory
null
18601
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"}}]
18601
verbose
false
18601
openml-python
Sklearn_0.21.2.
1068
pc1
https://www.openml.org/data/download/53951/pc1.arff
-1
21925417
description
https://api.openml.org/data/download/21925417/description.xml
-1
21925418
predictions
https://api.openml.org/data/download/21925418/predictions.arff
area_under_roc_curve
0.802061310782241 [0.802061,0.802061]
average_cost
0
f_measure
0.9057165004485965 [0.963346,0.133333]
kappa
0.11559381645673154
kb_relative_information_score
-3.399004754383847
mean_absolute_error
0.23576628433360874
mean_prior_absolute_error
0.12988972477049396
weighted_recall
0.9296663660955816 [0.993217,0.077922]
number_of_instances
1109 [1032,77]
precision
0.902330430063049 [0.935219,0.461538]
predictive_accuracy
0.9296663660955816
prior_entropy
0.36380676688852276
relative_absolute_error
1.8151265217490546
root_mean_prior_squared_error
0.25418837468358885
root_mean_squared_error
0.2780333090923097
root_relative_squared_error
1.0938081233589176
total_cost
0
unweighted_recall
0.5355695660928219 [0.993217,0.077922]
area_under_roc_curve
0.8228021978021978 [0.822802,0.822802]
area_under_roc_curve
0.7870879120879122 [0.787088,0.787088]
area_under_roc_curve
0.8094660194174758 [0.809466,0.809466]
area_under_roc_curve
0.7317961165048544 [0.731796,0.731796]
area_under_roc_curve
0.7317961165048544 [0.731796,0.731796]
area_under_roc_curve
0.8155339805825242 [0.815534,0.815534]
area_under_roc_curve
0.9174757281553398 [0.917476,0.917476]
area_under_roc_curve
0.7864077669902912 [0.786408,0.786408]
area_under_roc_curve
0.7742718446601943 [0.774272,0.774272]
area_under_roc_curve
0.8294036061026352 [0.829404,0.829404]
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
0.926433442788583 [0.971963,0.25]
f_measure
0.8973480522776298 [0.957746,0]
f_measure
0.901452076807527 [0.957346,0.181818]
f_measure
0.8887197056211139 [0.957746,0]
f_measure
0.9304946455889852 [0.971698,0.4]
f_measure
0.9073261941186469 [0.962264,0.2]
f_measure
0.9134486599275331 [0.967136,0.222222]
f_measure
0.9010291595197255 [0.962264,0]
kappa
0.23798627002288333
kappa
-0.028836251287332113
kappa
0.14833759590792903
kappa
-0.016276703967446498
kappa
0
kappa
0
kappa
0.3821892393320963
kappa
0.17625231910946135
kappa
0.20956256358087416
kappa
-0.01616628175519612
kb_relative_information_score
-3.5865328991330383
kb_relative_information_score
-3.7919716472373817
kb_relative_information_score
-3.2551978250527025
kb_relative_information_score
-3.3378873459556355
kb_relative_information_score
-3.3441469166658893
kb_relative_information_score
-3.2314062090375204
kb_relative_information_score
-3.2259167864630616
kb_relative_information_score
-3.3187261595554243
kb_relative_information_score
-3.3022448084765457
kb_relative_information_score
-3.6735523020240226
mean_absolute_error
0.2221179815990616
mean_absolute_error
0.2404958971990634
mean_absolute_error
0.23738844681683405
mean_absolute_error
0.24099992862765757
mean_absolute_error
0.24071743824092026
mean_absolute_error
0.2335266476109077
mean_absolute_error
0.2287467431484362
mean_absolute_error
0.24283803839149717
mean_absolute_error
0.23803079005169978
mean_absolute_error
0.23277397389833643
mean_prior_absolute_error
0.12441514421712434
mean_prior_absolute_error
0.12441514421712434
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1249079453399885
number_of_instances
111 [104,7]
number_of_instances
111 [104,7]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
110 [103,7]
precision
0.9488943488943489 [0.945455,1]
precision
0.8767666749318126 [0.93578,0]
precision
0.8918084751418085 [0.935185,0.333333]
precision
0.8604422604422604 [0.927273,0]
precision
0.9489213984626829 [0.944954,1]
precision
0.9043722621704273 [0.93578,0.5]
precision
0.940950040950041 [0.936364,1]
precision
0.8762301918265222 [0.93578,0]
predictive_accuracy
0.9459459459459459
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.927927927927928
predictive_accuracy
0.927927927927928
predictive_accuracy
0.9459459459459459
predictive_accuracy
0.927927927927928
predictive_accuracy
0.9369369369369369
predictive_accuracy
0.9272727272727274
prior_entropy
0.3400686187404258
prior_entropy
0.3400686187404258
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.3422054374333021
relative_absolute_error
1.7852969829093328
relative_absolute_error
1.9330114409493395
relative_absolute_error
1.796231479316407
relative_absolute_error
1.8235582401700434
relative_absolute_error
1.8214207388212378
relative_absolute_error
1.7670106583645082
relative_absolute_error
1.7308428710153583
relative_absolute_error
1.837466543899732
relative_absolute_error
1.8010918554402795
relative_absolute_error
1.8635641893295578
root_mean_prior_squared_error
0.24318130946048286
root_mean_prior_squared_error
0.24318130946048286
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.24419244540685378
root_mean_squared_error
0.25842655362221945
root_mean_squared_error
0.28350853303172946
root_mean_squared_error
0.2818444739243649
root_mean_squared_error
0.285130160073291
root_mean_squared_error
0.2861428538615915
root_mean_squared_error
0.27603031554712637
root_mean_squared_error
0.2641627157937111
root_mean_squared_error
0.2937187164546816
root_mean_squared_error
0.27936145608198737
root_mean_squared_error
0.2700424977715954
root_relative_squared_error
1.0626908548011331
root_relative_squared_error
1.165831920474134
root_relative_squared_error
1.0898271003616276
root_relative_squared_error
1.1025320853433216
root_relative_squared_error
1.1064479369457694
root_relative_squared_error
1.0673451007074157
root_relative_squared_error
1.021455849634188
root_relative_squared_error
1.1357420375098315
root_relative_squared_error
1.0802258472392028
root_relative_squared_error
1.1058593451639027
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
0.5714285714285714 [1,0.142857]
unweighted_recall
0.49038461538461536 [0.980769,0]
unweighted_recall
0.5527912621359223 [0.980583,0.125]
unweighted_recall
0.49514563106796117 [0.990291,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.625 [1,0.25]
unweighted_recall
0.5576456310679612 [0.990291,0.125]
unweighted_recall
0.5625 [1,0.125]
unweighted_recall
0.49514563106796117 [0.990291,0]
usercpu_time_millis
11.457845015684143
usercpu_time_millis
13.198297005146742
usercpu_time_millis
13.02524100174196
usercpu_time_millis
13.686446996871382
usercpu_time_millis
13.277088990435004
usercpu_time_millis
13.234494996140711
usercpu_time_millis
9.179701009998098
usercpu_time_millis
8.87554399378132
usercpu_time_millis
8.6861870076973
usercpu_time_millis
8.33848699403461
usercpu_time_millis_testing
0.7648800092283636
usercpu_time_millis_testing
0.8938100072555244
usercpu_time_millis_testing
0.9026320039993152
usercpu_time_millis_testing
0.966284002061002
usercpu_time_millis_testing
0.916496996069327
usercpu_time_millis_testing
0.9759590029716492
usercpu_time_millis_testing
0.6512840045616031
usercpu_time_millis_testing
0.6613790028495714
usercpu_time_millis_testing
0.6901320011820644
usercpu_time_millis_testing
0.6422739970730618
usercpu_time_millis_training
10.692965006455779
usercpu_time_millis_training
12.304486997891217
usercpu_time_millis_training
12.122608997742645
usercpu_time_millis_training
12.72016299481038
usercpu_time_millis_training
12.360591994365677
usercpu_time_millis_training
12.258535993169062
usercpu_time_millis_training
8.528417005436495
usercpu_time_millis_training
8.21416499093175
usercpu_time_millis_training
7.996055006515235
usercpu_time_millis_training
7.696212996961549
wall_clock_time_millis
11.488676071166992
wall_clock_time_millis
13.208150863647461
wall_clock_time_millis
13.035058975219727
wall_clock_time_millis
13.696908950805664
wall_clock_time_millis
13.285160064697266
wall_clock_time_millis
13.247489929199219
wall_clock_time_millis
9.225130081176758
wall_clock_time_millis
8.882999420166016
wall_clock_time_millis
8.703470230102539
wall_clock_time_millis
8.344411849975586
wall_clock_time_millis_testing
0.7712841033935547
wall_clock_time_millis_testing
0.8981227874755859
wall_clock_time_millis_testing
0.9076595306396484
wall_clock_time_millis_testing
0.9710788726806641
wall_clock_time_millis_testing
0.9210109710693359
wall_clock_time_millis_testing
0.9837150573730469
wall_clock_time_millis_testing
0.6921291351318359
wall_clock_time_millis_testing
0.6666183471679688
wall_clock_time_millis_testing
0.7033348083496094
wall_clock_time_millis_testing
0.6453990936279297
wall_clock_time_millis_training
10.717391967773438
wall_clock_time_millis_training
12.310028076171875
wall_clock_time_millis_training
12.127399444580078
wall_clock_time_millis_training
12.725830078125
wall_clock_time_millis_training
12.36414909362793
wall_clock_time_millis_training
12.263774871826172
wall_clock_time_millis_training
8.533000946044922
wall_clock_time_millis_training
8.216381072998047
wall_clock_time_millis_training
8.00013542175293
wall_clock_time_millis_training
7.699012756347656
weighted_recall
0.9459459459459459 [1,0.142857]
weighted_recall
0.918918918918919 [0.980769,0]
weighted_recall
0.918918918918919 [0.980583,0.125]
weighted_recall
0.918918918918919 [0.990291,0]
weighted_recall
0.9279279279279279 [1,0]
weighted_recall
0.9279279279279279 [1,0]
weighted_recall
0.9459459459459459 [1,0.25]
weighted_recall
0.9279279279279279 [0.990291,0.125]
weighted_recall
0.9369369369369369 [1,0.125]
weighted_recall
0.9272727272727272 [0.990291,0]