10455021
12269
Marc Zöller
3735
Supervised Classification
predictive_accuracy
17746
sklearn.pipeline.Pipeline(step_0=sklearn.decomposition._truncated_svd.TruncatedSVD,step_1=sklearn.ensemble._weight_boosting.AdaBoostClassifier)(1)
8266844
algorithm
"SAMME"
17696
base_estimator
null
17696
learning_rate
0.0005166756459026211
17696
n_estimators
361
17696
random_state
42
17696
algorithm
"randomized"
17732
n_components
1
17732
n_iter
69
17732
random_state
42
17732
tol
0.0
17732
memory
null
17746
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "step_0", "step_name": "step_0"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "step_1", "step_name": "step_1"}}]
17746
verbose
false
17746
automl_meta_features
openml-python
Sklearn_0.22.1.
871
pollen
https://www.openml.org/data/download/53405/pollen.arff
-1
21834661
description
https://api.openml.org/data/download/21834661/description.xml
-1
21834662
predictions
https://api.openml.org/data/download/21834662/predictions.arff
area_under_roc_curve
0.4990663940767891 [0.499041,0.499092]
average_cost
0
f_measure
0.33596786354827163 [0.006195,0.665741]
kappa
-0.0005197505197505059
kb_relative_information_score
-0.0002848539069214755
mean_absolute_error
0.5001200928163304
mean_prior_absolute_error
0.5
weighted_recall
0.49974012474012475 [0.003119,0.996362]
number_of_instances
3848 [1924,1924]
precision
0.4807040417209909 [0.461538,0.49987]
predictive_accuracy
0.49974012474012475
prior_entropy
1
relative_absolute_error
1.0002401856326608
root_mean_prior_squared_error
0.5
root_mean_squared_error
0.5509157463486057
root_relative_squared_error
1.1018314926972115
total_cost
0
unweighted_recall
0.49974012474012475 [0.003119,0.996362]
area_under_roc_curve
0.49740932642487046 [0.497409,0.497409]
area_under_roc_curve
0.5026041666666666 [0.502604,0.502604]
area_under_roc_curve
0.49744980569948183 [0.49745,0.49745]
area_under_roc_curve
0.5026041666666666 [0.502604,0.502604]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.49739583333333326 [0.497396,0.497396]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
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
0.333619932926692 [0,0.665511]
f_measure
0.3405254258497315 [0.010363,0.668977]
f_measure
0.3468942044587347 [0.030151,0.661996]
f_measure
0.3405254258497315 [0.010363,0.668977]
f_measure
0.3307359307359307 [0,0.663194]
f_measure
0.3379072524156759 [0.010309,0.665505]
kappa
-0.00519473491971167
kappa
0.005221790830751556
kappa
-0.005113152163620787
kappa
0.005221790830751556
kappa
0
kappa
0
kappa
-0.005194875107665835
kappa
0
kappa
0
kappa
0
kb_relative_information_score
-0.0014235296543297215
kb_relative_information_score
0.0042705889629892566
kb_relative_information_score
-0.001423529654329719
kb_relative_information_score
0.0042705889629892566
kb_relative_information_score
-0.0014235296543297215
kb_relative_information_score
-0.0014235296543297215
kb_relative_information_score
-0.0042705889629892435
kb_relative_information_score
-0.0014235296543297525
kb_relative_information_score
-6.938893903907228e-18
kb_relative_information_score
2.3129646346357432e-17
mean_absolute_error
0.5006001521522857
mean_absolute_error
0.4981995435431428
mean_absolute_error
0.5006001521522857
mean_absolute_error
0.4981995435431428
mean_absolute_error
0.5006001521522857
mean_absolute_error
0.5006001521522857
mean_absolute_error
0.5018004564568572
mean_absolute_error
0.5006001521522857
mean_absolute_error
0.5
mean_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
number_of_instances
385 [192,193]
number_of_instances
385 [192,193]
number_of_instances
385 [192,193]
number_of_instances
385 [192,193]
number_of_instances
385 [193,192]
number_of_instances
385 [193,192]
number_of_instances
385 [193,192]
number_of_instances
385 [193,192]
number_of_instances
384 [192,192]
number_of_instances
384 [192,192]
precision
0.2506493506493506 [0,0.5]
precision
0.7506561147186146 [1,0.502604]
precision
0.4643784786641929 [0.428571,0.5]
precision
0.7506561147186146 [1,0.502604]
precision
0.24805194805194805 [0,0.497396]
precision
0.5 [0.5,0.5]
predictive_accuracy
0.4987012987012987
predictive_accuracy
0.5038961038961038
predictive_accuracy
0.4987012987012987
predictive_accuracy
0.5038961038961038
predictive_accuracy
0.4987012987012987
predictive_accuracy
0.4987012987012987
predictive_accuracy
0.4961038961038961
predictive_accuracy
0.4987012987012987
predictive_accuracy
0.5
predictive_accuracy
0.5
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
relative_absolute_error
1.0012003043045714
relative_absolute_error
0.9963990870862856
relative_absolute_error
1.0012003043045714
relative_absolute_error
0.9963990870862856
relative_absolute_error
1.0012003043045714
relative_absolute_error
1.0012003043045714
relative_absolute_error
1.0036009129137144
relative_absolute_error
1.0012003043045714
relative_absolute_error
1
relative_absolute_error
1
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_squared_error
0.5513512663545852
root_mean_squared_error
0.5491699284389686
root_mean_squared_error
0.5513512663545852
root_mean_squared_error
0.5491699284389686
root_mean_squared_error
0.5513512663545852
root_mean_squared_error
0.5513512663545852
root_mean_squared_error
0.5524387053921694
root_mean_squared_error
0.5513512663545852
root_mean_squared_error
0.5508067417511509
root_mean_squared_error
0.550806741751151
root_relative_squared_error
1.1027025327091704
root_relative_squared_error
1.0983398568779372
root_relative_squared_error
1.1027025327091704
root_relative_squared_error
1.0983398568779372
root_relative_squared_error
1.1027025327091704
root_relative_squared_error
1.1027025327091704
root_relative_squared_error
1.1048774107843389
root_relative_squared_error
1.1027025327091704
root_relative_squared_error
1.1016134835023017
root_relative_squared_error
1.101613483502302
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
0.49740932642487046 [0,0.994819]
unweighted_recall
0.5026041666666666 [0.005208,1]
unweighted_recall
0.4974498056994819 [0.015625,0.979275]
unweighted_recall
0.5026041666666666 [0.005208,1]
unweighted_recall
0.5 [0,1]
unweighted_recall
0.5 [0,1]
unweighted_recall
0.4973958333333333 [0,0.994792]
unweighted_recall
0.5 [0,1]
unweighted_recall
0.5 [0,1]
unweighted_recall
0.5 [0.005208,0.994792]
usercpu_time_millis
1390.625
usercpu_time_millis
1265.625
usercpu_time_millis
1296.875
usercpu_time_millis
1390.625
usercpu_time_millis
1265.625
usercpu_time_millis
1250
usercpu_time_millis
1281.25
usercpu_time_millis
1312.5
usercpu_time_millis
1375
usercpu_time_millis
1375
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
31.25
usercpu_time_millis_training
1359.375
usercpu_time_millis_training
1234.375
usercpu_time_millis_training
1281.25
usercpu_time_millis_training
1359.375
usercpu_time_millis_training
1234.375
usercpu_time_millis_training
1234.375
usercpu_time_millis_training
1250
usercpu_time_millis_training
1296.875
usercpu_time_millis_training
1359.375
usercpu_time_millis_training
1343.75
wall_clock_time_millis
553.3397197723389
wall_clock_time_millis
547.7149486541748
wall_clock_time_millis
536.7586612701416
wall_clock_time_millis
550.8871078491211
wall_clock_time_millis
546.5598106384277
wall_clock_time_millis
541.0435199737549
wall_clock_time_millis
566.2825107574463
wall_clock_time_millis
548.583984375
wall_clock_time_millis
540.8329963684082
wall_clock_time_millis
542.7694320678711
wall_clock_time_millis_testing
24.26600456237793
wall_clock_time_millis_testing
24.503231048583984
wall_clock_time_millis_testing
23.889780044555664
wall_clock_time_millis_testing
23.001432418823242
wall_clock_time_millis_testing
23.314476013183594
wall_clock_time_millis_testing
23.822784423828125
wall_clock_time_millis_testing
24.792194366455078
wall_clock_time_millis_testing
23.476839065551758
wall_clock_time_millis_testing
23.24080467224121
wall_clock_time_millis_testing
23.44679832458496
wall_clock_time_millis_training
529.0737152099609
wall_clock_time_millis_training
523.2117176055908
wall_clock_time_millis_training
512.8688812255859
wall_clock_time_millis_training
527.8856754302979
wall_clock_time_millis_training
523.2453346252441
wall_clock_time_millis_training
517.2207355499268
wall_clock_time_millis_training
541.4903163909912
wall_clock_time_millis_training
525.1071453094482
wall_clock_time_millis_training
517.592191696167
wall_clock_time_millis_training
519.3226337432861
weighted_recall
0.4987012987012987 [0,0.994819]
weighted_recall
0.5038961038961038 [0.005208,1]
weighted_recall
0.4987012987012987 [0.015625,0.979275]
weighted_recall
0.5038961038961038 [0.005208,1]
weighted_recall
0.4987012987012987 [0,1]
weighted_recall
0.4987012987012987 [0,1]
weighted_recall
0.4961038961038961 [0,0.994792]
weighted_recall
0.4987012987012987 [0,1]
weighted_recall
0.5 [0,1]
weighted_recall
0.5 [0.005208,0.994792]