10309161
8323
Heinrich Peters
9977
Supervised Classification
15083
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkceigenpro=sklearn_extra.fast_kernel.FKCEigenPro)(1)
8170825
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
memory
null
15083
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": "fkceigenpro", "step_name": "fkceigenpro"}}]
15083
verbose
false
15083
bandwidth
5
15084
batch_size
"auto"
15084
coef0
1
15084
degree
2
15084
gamma
100000.0
15084
kernel
"laplace"
15084
kernel_params
"null"
15084
n_components
3000
15084
n_epoch
2
15084
random_state
62369
15084
subsample_size
"auto"
15084
openml-python
Sklearn_0.21.2.
1486
nomao
https://www.openml.org/data/download/1592278/phpDYCOet
-1
21539928
description
https://api.openml.org/data/download/21539928/description.xml
-1
21539929
predictions
https://api.openml.org/data/download/21539929/predictions.arff
area_under_roc_curve
0.9533171807808324 [0.953317,0.953317]
average_cost
0
f_measure
0.9627059411346903 [0.934557,0.973961]
kappa
0.9085176692322424
kb_relative_information_score
0.9010116997635632
mean_absolute_error
0.037255186421006815
mean_prior_absolute_error
0.4080904194746198
number_of_instances
34465 [9844,24621]
precision
0.9626761279338504 [0.937807,0.972619]
predictive_accuracy
0.9627448135789932
prior_entropy
0.8629999933345911
recall
0.9627448135789932 [0.931329,0.975306]
relative_absolute_error
0.09129149973422448
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.19301602633202977
root_relative_squared_error
0.4273001118814341
total_cost
0
area_under_roc_curve
0.953164765356545 [0.953165,0.953165]
area_under_roc_curve
0.9570534046439897 [0.957053,0.957053]
area_under_roc_curve
0.9499459809407563 [0.949946,0.949946]
area_under_roc_curve
0.9529924909384059 [0.952992,0.952992]
area_under_roc_curve
0.9535003113312193 [0.9535,0.9535]
area_under_roc_curve
0.9435104647553381 [0.94351,0.94351]
area_under_roc_curve
0.9537708948372992 [0.953771,0.953771]
area_under_roc_curve
0.9609841955446362 [0.960984,0.960984]
area_under_roc_curve
0.9581385019780337 [0.958139,0.958139]
area_under_roc_curve
0.9501087258029364 [0.950109,0.950109]
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
0.9630938667881448 [0.935105,0.974276]
f_measure
0.9651764969324559 [0.939024,0.975639]
f_measure
0.9577208120214641 [0.926337,0.970277]
f_measure
0.9628091620507134 [0.934694,0.974058]
f_measure
0.9639376655514067 [0.93654,0.974899]
f_measure
0.9524946732339148 [0.917172,0.966612]
f_measure
0.9622751015670342 [0.933943,0.973599]
f_measure
0.9686401194240947 [0.94501,0.978084]
f_measure
0.9671527449965142 [0.942259,0.977102]
f_measure
0.9637997919780444 [0.935751,0.97501]
kappa
0.9093817630821491
kappa
0.9146638895227045
kappa
0.8966154354353368
kappa
0.9087523808932925
kappa
0.9114415639630142
kappa
0.8837858156938418
kappa
0.9075417896745985
kappa
0.9230947260184521
kappa
0.9193618996064991
kappa
0.9107748255813468
kb_relative_information_score
0.9020815841396862
kb_relative_information_score
0.9075197858874676
kb_relative_information_score
0.8874824061630828
kb_relative_information_score
0.9013544382799649
kb_relative_information_score
0.9044371120837156
kb_relative_information_score
0.8735335364028203
kb_relative_information_score
0.8997521934900418
kb_relative_information_score
0.9167172068994196
kb_relative_information_score
0.9128615220336523
kb_relative_information_score
0.9043790153289629
mean_absolute_error
0.03684363214389324
mean_absolute_error
0.034812880765883375
mean_absolute_error
0.04235567159849144
mean_absolute_error
0.03713373948360894
mean_absolute_error
0.03597331012474616
mean_absolute_error
0.04759141033081834
mean_absolute_error
0.03772489843296576
mean_absolute_error
0.03134068485200232
mean_absolute_error
0.032791642484039464
mean_absolute_error
0.035983749274521186
mean_prior_absolute_error
0.4080229059806574
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
number_of_instances
3447 [984,2463]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
precision
0.9630551455219761 [0.940391,0.97211]
precision
0.9651666586293162 [0.93998,0.975244]
precision
0.9578249751355865 [0.920762,0.972653]
precision
0.9627716849458845 [0.939487,0.972087]
precision
0.963899140276837 [0.944272,0.971751]
precision
0.9526082402977064 [0.911647,0.96898]
precision
0.9622751015670342 [0.933943,0.973599]
precision
0.9686240831291205 [0.946939,0.977291]
precision
0.9671210711228145 [0.947585,0.974929]
precision
0.9638722946235425 [0.954545,0.9676]
predictive_accuracy
0.9631563678561068
predictive_accuracy
0.9651871192341166
predictive_accuracy
0.9576443284015086
predictive_accuracy
0.962866260516391
predictive_accuracy
0.9640266898752539
predictive_accuracy
0.9524085896691816
predictive_accuracy
0.9622751015670343
predictive_accuracy
0.9686593151479976
predictive_accuracy
0.9672083575159606
predictive_accuracy
0.9640162507254789
prior_entropy
0.862791736866817
prior_entropy
0.863175399426382
prior_entropy
0.863175399426382
prior_entropy
0.863175399426382
prior_entropy
0.863175399426382
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
recall
0.9631563678561068 [0.929878,0.976451]
recall
0.9651871192341166 [0.938071,0.976036]
recall
0.9576443284015086 [0.93198,0.967912]
recall
0.962866260516391 [0.929949,0.976036]
recall
0.9640266898752539 [0.928934,0.978067]
recall
0.9524085896691816 [0.922764,0.964257]
recall
0.9622751015670342 [0.933943,0.973599]
recall
0.9686593151479976 [0.943089,0.978879]
recall
0.9672083575159606 [0.936992,0.979285]
recall
0.9640162507254788 [0.917683,0.982535]
relative_absolute_error
0.09029795044310536
relative_absolute_error
0.0852948976574229
relative_absolute_error
0.10377545881653122
relative_absolute_error
0.09098122416791778
relative_absolute_error
0.08813806091267036
relative_absolute_error
0.1166289133936341
relative_absolute_error
0.09244974842178313
relative_absolute_error
0.07680440638117368
relative_absolute_error
0.08036016593585765
relative_absolute_error
0.08818283695616237
root_mean_prior_squared_error
0.4516359481339797
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.4516752654560011
root_mean_squared_error
0.19194695137952372
root_mean_squared_error
0.186582101944113
root_mean_squared_error
0.20580493579720444
root_mean_squared_error
0.19270116627464645
root_mean_squared_error
0.18966631257222819
root_mean_squared_error
0.2181545560624814
root_mean_squared_error
0.19422898453363174
root_mean_squared_error
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root_mean_squared_error
0.18108462796173358
root_mean_squared_error
0.18969383035439288
root_relative_squared_error
0.42500370524664666
root_relative_squared_error
0.4129991043365965
root_relative_squared_error
0.45554880809390513
root_relative_squared_error
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root_relative_squared_error
0.4198259983083373
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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total_cost
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usercpu_time_millis
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