10543460
8323
Heinrich Peters
16
Supervised Classification
18601
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)
8275614
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
C
1.0
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.
16
mfeat-karhunen
https://www.openml.org/data/download/16/dataset_16_mfeat-karhunen.arff
-1
22011875
description
https://api.openml.org/data/download/22011875/description.xml
-1
22011876
predictions
https://api.openml.org/data/download/22011876/predictions.arff
area_under_roc_curve
0.9932013888888889 [0.996978,0.993608,0.999303,0.987653,0.995975,0.985578,0.995864,0.996736,0.986256,0.994064]
average_cost
0
f_measure
0.9529246458302395 [0.970149,0.940887,0.977667,0.941476,0.967419,0.939394,0.955224,0.958231,0.941772,0.937028]
kappa
0.9477777777777777
kb_relative_information_score
0.9087733667048356
mean_absolute_error
0.029803745727603904
mean_prior_absolute_error
0.18000000000000554
weighted_recall
0.953 [0.975,0.955,0.985,0.925,0.965,0.93,0.96,0.975,0.93,0.93]
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.953088503669897 [0.965347,0.927184,0.970443,0.958549,0.969849,0.94898,0.950495,0.942029,0.953846,0.944162]
predictive_accuracy
0.953
prior_entropy
3.3219280948872383
relative_absolute_error
0.16557636515334992
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.09761330567833074
root_relative_squared_error
0.3253776855944308
total_cost
0
unweighted_recall
0.953 [0.975,0.955,0.985,0.925,0.965,0.93,0.96,0.975,0.93,0.93]
area_under_roc_curve
0.9918333333333333 [0.993889,0.995833,1,0.998611,1,0.964167,0.998889,1,0.966944,1]
area_under_roc_curve
0.9947500000000001 [1,0.959167,1,0.998056,0.998333,0.995556,0.998333,0.999167,1,0.998889]
area_under_roc_curve
0.9955000000000002 [1,0.999444,0.999167,0.995278,1,0.990833,1,0.976667,0.996944,0.996667]
area_under_roc_curve
0.9861388888888888 [0.997778,1,1,0.949444,0.970278,0.967778,1,1,0.999167,0.976944]
area_under_roc_curve
0.9909444444444443 [1,0.998611,1,0.977778,0.998889,0.9975,0.997222,0.998333,0.950556,0.990556]
area_under_roc_curve
0.9962222222222222 [0.998889,0.996389,1,0.995556,0.996111,0.996944,1,0.999167,0.998056,0.981111]
area_under_roc_curve
0.9943611111111111 [0.978333,0.994444,0.996389,0.998056,0.999722,0.999167,1,0.995556,0.981944,1]
area_under_roc_curve
0.9927222222222221 [1,0.999722,0.998889,1,0.998056,0.959444,0.999444,1,0.972222,0.999444]
area_under_roc_curve
0.9953611111111111 [1,0.998333,1,0.965278,1,0.991111,1,1,0.998889,1]
area_under_roc_curve
0.9948055555555557 [0.998611,0.998611,1,0.998611,0.998333,0.998889,0.965556,0.998889,0.995556,0.995]
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
0.9549723041186455 [0.923077,0.926829,1,0.923077,1,0.95,0.974359,1,0.9,0.952381]
f_measure
0.9603126013909068 [1,0.926829,1,0.947368,0.947368,0.904762,0.926829,0.97561,1,0.974359]
f_measure
0.9502176247811677 [0.97561,0.947368,0.909091,0.926829,1,0.95,1,0.918919,0.974359,0.9]
f_measure
0.9650615363182159 [0.974359,0.97561,1,0.923077,0.974359,0.947368,0.930233,0.97561,1,0.95]
f_measure
0.9295325555916055 [1,0.926829,0.947368,0.923077,0.952381,0.926829,0.926829,0.926829,0.842105,0.923077]
f_measure
0.9399176964182786 [0.97561,0.926829,1,0.974359,0.923077,0.947368,0.974359,0.930233,0.926829,0.820513]
f_measure
0.9451996160390942 [0.95,0.9,0.974359,0.9,0.97561,0.923077,0.974359,0.930233,0.95,0.974359]
f_measure
0.969961489088575 [1,1,0.97561,1,0.926829,0.947368,0.926829,1,0.947368,0.97561]
f_measure
0.969977617589941 [0.97561,0.926829,1,0.95,1,0.95,1,0.97561,0.974359,0.947368]
f_measure
0.9449624295259725 [0.926829,0.952381,0.97561,0.947368,0.974359,0.95,0.923077,0.95,0.9,0.95]
kappa
0.95
kappa
0.9555555555555555
kappa
0.9444444444444444
kappa
0.961111111111111
kappa
0.9222222222222223
kappa
0.9333333333333332
kappa
0.9388888888888889
kappa
0.9666666666666667
kappa
0.9666666666666667
kappa
0.9388888888888889
kb_relative_information_score
0.9042001449242274
kb_relative_information_score
0.9149467008509186
kb_relative_information_score
0.9068247606350569
kb_relative_information_score
0.9219416085965745
kb_relative_information_score
0.8909909421268607
kb_relative_information_score
0.8960448931565712
kb_relative_information_score
0.91262973368194
kb_relative_information_score
0.9115289595227538
kb_relative_information_score
0.9236078488835519
kb_relative_information_score
0.9050180746695864
mean_absolute_error
0.031001130516354038
mean_absolute_error
0.02827595545820058
mean_absolute_error
0.031107538863956438
mean_absolute_error
0.025273998518702788
mean_absolute_error
0.03405922616250729
mean_absolute_error
0.031957932096986
mean_absolute_error
0.029161233458446748
mean_absolute_error
0.030469763727100994
mean_absolute_error
0.02618510331589915
mean_absolute_error
0.030545575157884836
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.9558589655958077 [0.947368,0.904762,1,0.947368,1,0.95,1,1,0.9,0.909091]
precision
0.9625541125541126 [1,0.904762,1,1,1,0.863636,0.904762,0.952381,1,1]
precision
0.9540476190476191 [0.952381,1,0.833333,0.904762,1,0.95,1,1,1,0.9]
precision
0.9671695543205839 [1,0.952381,1,0.947368,1,1,0.869565,0.952381,1,0.95]
precision
0.9311764259132681 [1,0.904762,1,0.947368,0.909091,0.904762,0.904762,0.904762,0.888889,0.947368]
precision
0.9420943663506592 [0.952381,0.904762,1,1,0.947368,1,1,0.869565,0.904762,0.842105]
precision
0.946931459082489 [0.95,0.9,1,0.9,0.952381,0.947368,1,0.869565,0.95,1]
precision
0.9714285714285714 [1,1,0.952381,1,0.904762,1,0.904762,1,1,0.952381]
precision
0.9709523809523809 [0.952381,0.904762,1,0.95,1,0.95,1,0.952381,1,1]
precision
0.9463602187286397 [0.904762,0.909091,0.952381,1,1,0.95,0.947368,0.95,0.9,0.95]
predictive_accuracy
0.955
predictive_accuracy
0.96
predictive_accuracy
0.95
predictive_accuracy
0.965
predictive_accuracy
0.93
predictive_accuracy
0.94
predictive_accuracy
0.945
predictive_accuracy
0.97
predictive_accuracy
0.97
predictive_accuracy
0.945
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
relative_absolute_error
0.17222850286863373
relative_absolute_error
0.15708864143444784
relative_absolute_error
0.17281966035531376
relative_absolute_error
0.1404111028816823
relative_absolute_error
0.1892179231250407
relative_absolute_error
0.177544067205478
relative_absolute_error
0.1620068525469266
relative_absolute_error
0.16927646515056127
relative_absolute_error
0.14547279619943987
relative_absolute_error
0.16969763976602703
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.1001600605444759
root_mean_squared_error
0.0941435582098536
root_mean_squared_error
0.09940981097856538
root_mean_squared_error
0.08508412701361578
root_mean_squared_error
0.11112889560803241
root_mean_squared_error
0.10512645056114668
root_mean_squared_error
0.09687466119114736
root_mean_squared_error
0.09494168796428155
root_mean_squared_error
0.08554517444054299
root_mean_squared_error
0.10074276636189973
root_relative_squared_error
0.33386686848158653
root_relative_squared_error
0.31381186069951217
root_relative_squared_error
0.3313660365952181
root_relative_squared_error
0.28361375671205274
root_relative_squared_error
0.3704296520267749
root_relative_squared_error
0.3504215018704891
root_relative_squared_error
0.3229155373038248
root_relative_squared_error
0.31647229321427206
root_relative_squared_error
0.2851505814684768
root_relative_squared_error
0.3358092212063326
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
0.9550000000000001 [0.9,0.95,1,0.9,1,0.95,0.95,1,0.9,1]
unweighted_recall
0.96 [1,0.95,1,0.9,0.9,0.95,0.95,1,1,0.95]
unweighted_recall
0.95 [1,0.9,1,0.95,1,0.95,1,0.85,0.95,0.9]
unweighted_recall
0.9649999999999999 [0.95,1,1,0.9,0.95,0.9,1,1,1,0.95]
unweighted_recall
0.93 [1,0.95,0.9,0.9,1,0.95,0.95,0.95,0.8,0.9]
unweighted_recall
0.9400000000000002 [1,0.95,1,0.95,0.9,0.9,0.95,1,0.95,0.8]
unweighted_recall
0.945 [0.95,0.9,0.95,0.9,1,0.9,0.95,1,0.95,0.95]
unweighted_recall
0.9700000000000001 [1,1,1,1,0.95,0.9,0.95,1,0.9,1]
unweighted_recall
0.9700000000000001 [1,0.95,1,0.95,1,0.95,1,1,0.95,0.9]
unweighted_recall
0.945 [0.95,1,1,0.9,0.95,0.95,0.9,0.95,0.9,0.95]
usercpu_time_millis
304.7563839936629
usercpu_time_millis
292.52159598399885
usercpu_time_millis
290.5517260078341
usercpu_time_millis
288.3673010219354
usercpu_time_millis
295.8732850092929
usercpu_time_millis
293.1791380106006
usercpu_time_millis
291.89284902531654
usercpu_time_millis
339.31258402299136
usercpu_time_millis
299.0719200170133
usercpu_time_millis
289.29886600235477
usercpu_time_millis_testing
0.8862679824233055
usercpu_time_millis_testing
0.8794449968263507
usercpu_time_millis_testing
0.8893170161172748
usercpu_time_millis_testing
0.9042060119099915
usercpu_time_millis_testing
0.8826590201351792
usercpu_time_millis_testing
0.8764880185481161
usercpu_time_millis_testing
0.8832900202833116
usercpu_time_millis_testing
1.0224370053038
usercpu_time_millis_testing
0.9498620056547225
usercpu_time_millis_testing
0.9501909953542054
usercpu_time_millis_training
303.8701160112396
usercpu_time_millis_training
291.6421509871725
usercpu_time_millis_training
289.6624089917168
usercpu_time_millis_training
287.4630950100254
usercpu_time_millis_training
294.9906259891577
usercpu_time_millis_training
292.30264999205247
usercpu_time_millis_training
291.0095590050332
usercpu_time_millis_training
338.29014701768756
usercpu_time_millis_training
298.1220580113586
usercpu_time_millis_training
288.34867500700057
wall_clock_time_millis
304.7800064086914
wall_clock_time_millis
292.68336296081543
wall_clock_time_millis
290.56406021118164
wall_clock_time_millis
288.3760929107666
wall_clock_time_millis
296.0331439971924
wall_clock_time_millis
293.19286346435547
wall_clock_time_millis
291.9044494628906
wall_clock_time_millis
339.34640884399414
wall_clock_time_millis
299.11065101623535
wall_clock_time_millis
289.3080711364746
wall_clock_time_millis_testing
0.8931159973144531
wall_clock_time_millis_testing
0.888824462890625
wall_clock_time_millis_testing
0.8978843688964844
wall_clock_time_millis_testing
0.9112358093261719
wall_clock_time_millis_testing
0.8900165557861328
wall_clock_time_millis_testing
0.8807182312011719
wall_clock_time_millis_testing
0.8912086486816406
wall_clock_time_millis_testing
1.0297298431396484
wall_clock_time_millis_testing
0.9601116180419922
wall_clock_time_millis_testing
0.9555816650390625
wall_clock_time_millis_training
303.88689041137695
wall_clock_time_millis_training
291.7945384979248
wall_clock_time_millis_training
289.66617584228516
wall_clock_time_millis_training
287.46485710144043
wall_clock_time_millis_training
295.14312744140625
wall_clock_time_millis_training
292.3121452331543
wall_clock_time_millis_training
291.013240814209
wall_clock_time_millis_training
338.3166790008545
wall_clock_time_millis_training
298.15053939819336
wall_clock_time_millis_training
288.35248947143555
weighted_recall
0.955 [0.9,0.95,1,0.9,1,0.95,0.95,1,0.9,1]
weighted_recall
0.96 [1,0.95,1,0.9,0.9,0.95,0.95,1,1,0.95]
weighted_recall
0.95 [1,0.9,1,0.95,1,0.95,1,0.85,0.95,0.9]
weighted_recall
0.965 [0.95,1,1,0.9,0.95,0.9,1,1,1,0.95]
weighted_recall
0.93 [1,0.95,0.9,0.9,1,0.95,0.95,0.95,0.8,0.9]
weighted_recall
0.94 [1,0.95,1,0.95,0.9,0.9,0.95,1,0.95,0.8]
weighted_recall
0.945 [0.95,0.9,0.95,0.9,1,0.9,0.95,1,0.95,0.95]
weighted_recall
0.97 [1,1,1,1,0.95,0.9,0.95,1,0.9,1]
weighted_recall
0.97 [1,0.95,1,0.95,1,0.95,1,1,0.95,0.9]
weighted_recall
0.945 [0.95,1,1,0.9,0.95,0.95,0.9,0.95,0.9,0.95]