10363921
8323
Heinrich Peters
3481
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8219366
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
140.2157268636007
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.051838357205243824
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
36118
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.
300
isolet
https://www.openml.org/data/download/52405/phpB0xrNj
-1
21649547
description
https://api.openml.org/data/download/21649547/description.xml
-1
21649548
predictions
https://api.openml.org/data/download/21649548/predictions.arff
area_under_roc_curve
0.5900360144057624 [0.5982,0.624333,0.61,0.596533,0.551667,0.503356,0.633267,0.595,0.591667,0.596667,0.668,0.584933,0.506689,0.568,0.599867,0.5864,0.603333,0.571667,0.6062,0.626333,0.598785,0.581066,0.584786,0.575,0.598333,0.58]
average_cost
0
f_measure
0.28182350360356395 [0.32687,0.38961,0.360656,0.322222,0.187311,0.013333,0.419948,0.319328,0.309859,0.324022,0.497537,0.289773,0.026403,0.236994,0.331492,0.292135,0.342541,0.250729,0.345013,0.39895,0.102564,0.273743,0.098314,0.26087,0.328691,0.275862]
kappa
0.1800721410264396
kb_relative_information_score
0.2021065318204624
mean_absolute_error
0.06064462663154918
mean_prior_absolute_error
0.07396449117237175
number_of_instances
7797 [300,300,300,300,300,298,300,300,300,300,300,300,299,300,300,300,300,300,300,300,300,300,300,300,300,300]
precision
0.8968601714106367 [0.967213,0.882353,1,0.966667,1,1,0.987654,1,1,1,0.95283,0.980769,1,0.891304,0.967742,0.928571,1,1,0.901408,0.938272,0.056017,0.844828,0.053767,1,1,1]
predictive_accuracy
0.21161985378991918
prior_entropy
4.700438279892712
recall
0.2116198537899192 [0.196667,0.25,0.22,0.193333,0.103333,0.006711,0.266667,0.19,0.183333,0.193333,0.336667,0.17,0.013378,0.136667,0.2,0.173333,0.206667,0.143333,0.213333,0.253333,0.606667,0.163333,0.573333,0.15,0.196667,0.16]
relative_absolute_error
0.8199154171184512
root_mean_prior_squared_error
0.19230768465256318
root_mean_squared_error
0.24626129746988093
root_relative_squared_error
1.280558797818164
total_cost
0
area_under_roc_curve
0.58 [0.566667,0.666,0.566667,0.6,0.566667,0.5,0.566667,0.616667,0.55,0.55,0.583333,0.616,0.5,0.55,0.533333,0.598667,0.6,0.633333,0.583333,0.616667,0.55,0.615333,0.584,0.55,0.583333,0.633333]
area_under_roc_curve
0.588 [0.583333,0.549333,0.583333,0.616667,0.55,0.516667,0.7,0.533333,0.6,0.566667,0.666,0.6,0.5,0.582667,0.566667,0.6,0.616667,0.516667,0.632,0.65,0.583333,0.583333,0.591333,0.533333,0.683333,0.583333]
area_under_roc_curve
0.5933333333333333 [0.583333,0.598667,0.616667,0.616667,0.533333,0.5,0.683333,0.55,0.583333,0.583333,0.699333,0.6,0.516667,0.566667,0.633333,0.616667,0.65,0.583333,0.566667,0.632,0.596667,0.583333,0.55,0.6,0.616667,0.566667]
area_under_roc_curve
0.5786666666666667 [0.633333,0.632667,0.6,0.616667,0.566667,0.5,0.65,0.6,0.566667,0.533333,0.616,0.566667,0.5,0.565333,0.583333,0.566667,0.583333,0.6,0.583333,0.532667,0.582,0.583333,0.566667,0.566667,0.6,0.55]
area_under_roc_curve
0.5993333333333334 [0.582667,0.649333,0.666667,0.633333,0.566667,0.5,0.65,0.633333,0.633333,0.616667,0.7,0.566667,0.5,0.533333,0.566667,0.583333,0.616667,0.583333,0.616,0.716667,0.601333,0.566667,0.616667,0.566667,0.533333,0.583333]
area_under_roc_curve
0.6006666666666668 [0.533333,0.566667,0.583333,0.533333,0.566667,0.5,0.666667,0.666667,0.616667,0.666667,0.683333,0.533333,0.5,0.616667,0.682667,0.582667,0.6,0.583333,0.632667,0.616667,0.683333,0.599333,0.603333,0.55,0.6,0.65]
area_under_roc_curve
0.5740000000000001 [0.6,0.616,0.583333,0.583333,0.516667,0.516667,0.6,0.583333,0.6,0.583333,0.732,0.6,0.516667,0.549333,0.566667,0.549333,0.55,0.516667,0.616667,0.65,0.578,0.549333,0.516667,0.566667,0.55,0.533333]
area_under_roc_curve
0.5934579439252337 [0.633333,0.665332,0.616667,0.548665,0.533333,0.5,0.583333,0.6,0.566667,0.65,0.65,0.55,0.534483,0.55,0.633333,0.583333,0.583333,0.6,0.632666,0.566667,0.596796,0.583333,0.616667,0.683333,0.616667,0.55]
area_under_roc_curve
0.5941255006675566 [0.649332,0.599332,0.683333,0.616667,0.583333,0.5,0.6,0.583333,0.616667,0.583333,0.683333,0.6,0.5,0.549332,0.616667,0.583333,0.616667,0.5,0.632666,0.616667,0.583333,0.580663,0.599466,0.583333,0.633333,0.55]
area_under_roc_curve
0.5987983978638184 [0.616667,0.7,0.6,0.6,0.533333,0.5,0.632666,0.583333,0.583333,0.633333,0.666667,0.616667,0.5,0.616667,0.615999,0.6,0.616667,0.6,0.565999,0.665332,0.633333,0.565999,0.602804,0.55,0.566667,0.6]
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
0.23811619678040574 [0.333333,0.368421,0.285714,0.285714,0.064516,0.064516,0.333333,0.285714,0.333333,0.285714,0.608696,0.333333,0.064516,0.176471,0.235294,0.176471,0.181818,0.064516,0.378378,0.461538,0.08658,0.176471,0.064516,0.235294,0.181818,0.125]
kappa
0.16
kappa
0.17600000000000002
kappa
0.18666666666666668
kappa
0.15733333333333333
kappa
0.19866666666666666
kappa
0.20133333333333334
kappa
0.148
kappa
0.18691867490012393
kappa
0.18825100133511347
kappa
0.19759679572763686
kb_relative_information_score
0.18256297368591443
kb_relative_information_score
0.19813356382556782
kb_relative_information_score
0.20851101656661256
kb_relative_information_score
0.17996829511442075
kb_relative_information_score
0.2201858129725691
kb_relative_information_score
0.22278049154406251
kb_relative_information_score
0.17089069599064996
kb_relative_information_score
0.2087955891708727
kb_relative_information_score
0.21009230180588795
kb_relative_information_score
0.21918535704783285
mean_absolute_error
0.062130177514793675
mean_absolute_error
0.0609467455621309
mean_absolute_error
0.060157790927022385
mean_absolute_error
0.0623274161735708
mean_absolute_error
0.0592702169625253
mean_absolute_error
0.05907297830374818
mean_absolute_error
0.06301775147929076
mean_absolute_error
0.06013626937888881
mean_absolute_error
0.06003752345215828
mean_absolute_error
0.05934630196504459
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396448587535052
mean_prior_absolute_error
0.07396447325283656
mean_prior_absolute_error
0.07396447325283656
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
precision
0.92481726418378 [1,0.875,1,1,1,1,1,1,1,1,0.875,1,1,0.75,1,0.75,1,1,1,1,0.045249,0.75,1,1,1,1]
predictive_accuracy
0.1923076923076923
predictive_accuracy
0.2076923076923077
predictive_accuracy
0.21794871794871795
predictive_accuracy
0.18974358974358974
predictive_accuracy
0.22948717948717948
predictive_accuracy
0.23205128205128203
predictive_accuracy
0.18076923076923077
predictive_accuracy
0.21822849807445444
predictive_accuracy
0.21951219512195125
predictive_accuracy
0.22849807445442874
prior_entropy
4.700441149362989
prior_entropy
4.700441149362989
prior_entropy
4.700441149362989
prior_entropy
4.700441149362989
prior_entropy
4.700441149362989
prior_entropy
4.700441149362989
prior_entropy
4.700441149362989
prior_entropy
4.700435698259304
prior_entropy
4.700429514669705
prior_entropy
4.700429514669705
recall
0.19230769230769232 [0.133333,0.333333,0.133333,0.2,0.133333,0,0.133333,0.233333,0.1,0.1,0.166667,0.233333,0,0.1,0.066667,0.2,0.2,0.266667,0.166667,0.233333,0.1,0.233333,1,0.1,0.166667,0.266667]
recall
0.2076923076923077 [0.166667,0.1,0.166667,0.233333,0.1,0.033333,0.4,0.066667,0.2,0.133333,0.333333,0.2,0,0.166667,0.133333,0.2,0.233333,0.033333,0.266667,0.3,0.166667,0.166667,1,0.066667,0.366667,0.166667]
recall
0.21794871794871795 [0.166667,0.2,0.233333,0.233333,0.066667,0,0.366667,0.1,0.166667,0.166667,0.4,0.2,0.033333,0.133333,0.266667,0.233333,0.3,0.166667,0.133333,0.266667,1,0.166667,0.1,0.2,0.233333,0.133333]
recall
0.18974358974358974 [0.266667,0.266667,0.2,0.233333,0.133333,0,0.3,0.2,0.133333,0.066667,0.233333,0.133333,0,0.133333,0.166667,0.133333,0.166667,0.2,0.166667,0.066667,1,0.166667,0.133333,0.133333,0.2,0.1]
recall
0.22948717948717948 [0.166667,0.3,0.333333,0.266667,0.133333,0,0.3,0.266667,0.266667,0.233333,0.4,0.133333,0,0.066667,0.133333,0.166667,0.233333,0.166667,0.233333,0.433333,1,0.133333,0.233333,0.133333,0.066667,0.166667]
recall
0.23205128205128206 [0.066667,0.133333,0.166667,0.066667,0.133333,0,0.333333,0.333333,0.233333,0.333333,0.366667,0.066667,0,0.233333,0.366667,0.166667,0.2,0.166667,0.266667,0.233333,0.366667,0.2,1,0.1,0.2,0.3]
recall
0.18076923076923077 [0.2,0.233333,0.166667,0.166667,0.033333,0.033333,0.2,0.166667,0.2,0.166667,0.466667,0.2,0.033333,0.1,0.133333,0.1,0.1,0.033333,0.233333,0.3,1,0.1,0.033333,0.133333,0.1,0.066667]
recall
0.21822849807445444 [0.266667,0.333333,0.233333,0.1,0.066667,0,0.166667,0.2,0.133333,0.3,0.3,0.1,0.068966,0.1,0.266667,0.166667,0.166667,0.2,0.266667,0.133333,1,0.166667,0.233333,0.366667,0.233333,0.1]
recall
0.21951219512195122 [0.3,0.2,0.366667,0.233333,0.166667,0,0.2,0.166667,0.233333,0.166667,0.366667,0.2,0,0.1,0.233333,0.166667,0.233333,0,0.266667,0.233333,0.166667,0.166667,1,0.166667,0.266667,0.1]
recall
0.22849807445442877 [0.233333,0.4,0.2,0.2,0.066667,0,0.266667,0.166667,0.166667,0.266667,0.333333,0.233333,0,0.233333,0.233333,0.2,0.233333,0.2,0.133333,0.333333,0.266667,0.133333,1,0.1,0.133333,0.2]
relative_absolute_error
0.8400000000000054
relative_absolute_error
0.8240000000000047
relative_absolute_error
0.8133333333333377
relative_absolute_error
0.842666666666672
relative_absolute_error
0.8013333333333372
relative_absolute_error
0.7986666666666706
relative_absolute_error
0.8520000000000059
relative_absolute_error
0.8130424847437474
relative_absolute_error
0.8117075781359102
relative_absolute_error
0.8023622606244768
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230767088031558
root_mean_prior_squared_error
0.19230763806177284
root_mean_prior_squared_error
0.19230763806177284
root_mean_squared_error
0.2492592576310731
root_mean_squared_error
0.24687394670586627
root_mean_squared_error
0.2452708521757577
root_mean_squared_error
0.2496545937361674
root_mean_squared_error
0.24345475341945022
root_mean_squared_error
0.243049333065837
root_mean_squared_error
0.2510333672627819
root_mean_squared_error
0.2452269752268066
root_mean_squared_error
0.24502555673267692
root_mean_squared_error
0.24361096437772375
root_relative_squared_error
1.2961480884281082
root_relative_squared_error
1.283744472107508
root_relative_squared_error
1.2754083808805767
root_relative_squared_error
1.2982038360933086
root_relative_squared_error
1.2659646677212097
root_relative_squared_error
1.263856481965785
root_relative_squared_error
1.3053734581481962
root_relative_squared_error
1.275180413263004
root_relative_squared_error
1.2741332544158757
root_relative_squared_error
1.2667773720951807
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
usercpu_time_millis
94569.27559699398
usercpu_time_millis
98199.39398395945
usercpu_time_millis
97904.85757100396
usercpu_time_millis
97753.77537801978
usercpu_time_millis
96308.46537899924
usercpu_time_millis
97069.67161898501
usercpu_time_millis
98419.23545001191
usercpu_time_millis
97094.40041100606
usercpu_time_millis
97412.66667598393
usercpu_time_millis
98773.54729300714
usercpu_time_millis_testing
5017.480910988525
usercpu_time_millis_testing
6923.784694983624
usercpu_time_millis_testing
6963.810940011172
usercpu_time_millis_testing
6808.428420015844
usercpu_time_millis_testing
6806.085002986947
usercpu_time_millis_testing
6900.292159989476
usercpu_time_millis_testing
6818.522045010468
usercpu_time_millis_testing
6800.337400025455
usercpu_time_millis_testing
6809.601869987091
usercpu_time_millis_testing
7202.1097500110045
usercpu_time_millis_training
89551.79468600545
usercpu_time_millis_training
91275.60928897583
usercpu_time_millis_training
90941.04663099279
usercpu_time_millis_training
90945.34695800394
usercpu_time_millis_training
89502.3803760123
usercpu_time_millis_training
90169.37945899554
usercpu_time_millis_training
91600.71340500144
usercpu_time_millis_training
90294.06301098061
usercpu_time_millis_training
90603.06480599684
usercpu_time_millis_training
91571.43754299614
wall_clock_time_millis
94570.86777687073
wall_clock_time_millis
98201.1182308197
wall_clock_time_millis
97942.42262840271
wall_clock_time_millis
97800.19044876099
wall_clock_time_millis
96310.83750724792
wall_clock_time_millis
97100.6863117218
wall_clock_time_millis
98466.83764457703
wall_clock_time_millis
97116.46366119385
wall_clock_time_millis
97435.09149551392
wall_clock_time_millis
98830.77621459961
wall_clock_time_millis_testing
5017.611980438232
wall_clock_time_millis_testing
6923.967599868774
wall_clock_time_millis_testing
6969.0916538238525
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