10437728
10468
Nicolas Hug
146820
Supervised Classification
17374
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(4)
8260869
l2_regularization
0.0
17370
learning_rate
0.1
17370
loss
"auto"
17370
max_bins
255
17370
max_depth
null
17370
max_iter
100
17370
max_leaf_nodes
31
17370
min_samples_leaf
20
17370
n_iter_no_change
null
17370
random_state
23533
17370
scoring
null
17370
tol
1e-07
17370
validation_fraction
0.1
17370
verbose
0
17370
warm_start
false
17370
cv
null
17374
error_score
NaN
17374
iid
"deprecated"
17374
n_iter
100
17374
n_jobs
null
17374
param_distributions
{"l2_regularization": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.reciprocal_gen", "a": -Infinity, "b": Infinity, "args": [0.0001, 1], "kwds": {}}}, "learning_rate": {"oml-python:serialized_object": "rv_frozen", "value": {"dist": "scipy.stats._continuous_distns.reciprocal_gen", "a": -Infinity, "b": Infinity, "args": [0.0001, 1], "kwds": {}}}, "max_depth": [5, 6, 7, 8, 9, 1000], "max_leaf_nodes": [30, 31, 32, 33, 34, 35, 36, 37, 38, 39], "min_samples_leaf": [2, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]}
17374
pre_dispatch
"2*n_jobs"
17374
random_state
0
17374
refit
true
17374
return_train_score
false
17374
scoring
null
17374
verbose
0
17374
openml-python
Sklearn_0.23.dev0.
40983
wilt
https://www.openml.org/data/download/18151926/phpcSeK3V
-1
21799684
description
https://api.openml.org/data/download/21799684/description.xml
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21799685
predictions
https://api.openml.org/data/download/21799685/predictions.arff
-1
21799686
trace
https://api.openml.org/data/download/21799686/trace.arff
area_under_roc_curve
0.9825648738176419 [0.982565,0.982565]
average_cost
0
f_measure
0.983545667373272 [0.991501,0.844]
kappa
0.8355187642009428
kb_relative_information_score
0.7316923150324041
mean_absolute_error
0.020908938382501602
mean_prior_absolute_error
0.10221958465180693
weighted_recall
0.9838809671419715 [0.993884,0.808429]
number_of_instances
4839 [4578,261]
precision
0.9833977525474357 [0.98913,0.882845]
predictive_accuracy
0.9838809671419715
prior_entropy
0.3028907962597491
relative_absolute_error
0.2045492402823219
root_mean_prior_squared_error
0.22589294647411987
root_mean_squared_error
0.11386047939556897
root_relative_squared_error
0.5040461916707689
total_cost
0
unweighted_recall
0.901156455411438 [0.993884,0.808429]
area_under_roc_curve
0.9847161572052401 [0.984716,0.984716]
area_under_roc_curve
0.9954652334564998 [0.995465,0.995465]
area_under_roc_curve
0.997564662411824 [0.997565,0.997565]
area_under_roc_curve
0.9908464897547867 [0.990846,0.990846]
area_under_roc_curve
0.9697262344642257 [0.969726,0.969726]
area_under_roc_curve
0.9800974135035271 [0.980097,0.980097]
area_under_roc_curve
0.9968088679879071 [0.996809,0.996809]
area_under_roc_curve
0.9944575075579442 [0.994458,0.994458]
area_under_roc_curve
0.9982170354161601 [0.998217,0.998217]
area_under_roc_curve
0.9984009426022555 [0.998401,0.998401]
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
0.9742274523895078 [0.986957,0.75]
f_measure
0.9834710743801653 [0.991266,0.846154]
f_measure
0.9918795407158247 [0.995624,0.925926]
f_measure
0.9848071501244718 [0.9924,0.851064]
f_measure
0.9770623030614051 [0.988004,0.784314]
f_measure
0.9831585012333676 [0.991285,0.84]
f_measure
0.9780586034047746 [0.989154,0.782609]
f_measure
0.9785228769912563 [0.98913,0.791667]
f_measure
0.993629487628753 [0.996728,0.941176]
f_measure
0.989740023986938 [0.994524,0.90566]
kappa
0.7370517928286848
kappa
0.8374202216996981
kappa
0.921555915721232
kappa
0.8435537495382341
kappa
0.7723229558672599
kappa
0.8313001045660515
kappa
0.7719562759140591
kappa
0.7808764940239039
kappa
0.9379168804515132
kappa
0.9001859888406698
kb_relative_information_score
0.6447430804920145
kb_relative_information_score
0.7761447743521265
kb_relative_information_score
0.7725379118363785
kb_relative_information_score
0.7448309115526003
kb_relative_information_score
0.553861959674968
kb_relative_information_score
0.666549846709124
kb_relative_information_score
0.7389834766786033
kb_relative_information_score
0.7135393821206557
kb_relative_information_score
0.8428602108773113
kb_relative_information_score
0.8598027863684911
mean_absolute_error
0.02514046295007238
mean_absolute_error
0.016059357534241595
mean_absolute_error
0.018699184445797226
mean_absolute_error
0.020306982543111488
mean_absolute_error
0.03572812259623311
mean_absolute_error
0.025014858340114965
mean_absolute_error
0.021362213685056353
mean_absolute_error
0.020835064925844828
mean_absolute_error
0.014721117587690688
mean_absolute_error
0.011201963483591378
mean_prior_absolute_error
0.10202539943765428
mean_prior_absolute_error
0.10202539943765428
mean_prior_absolute_error
0.10202539943765428
mean_prior_absolute_error
0.10202539943765428
mean_prior_absolute_error
0.10202539943765428
mean_prior_absolute_error
0.10202539943765428
mean_prior_absolute_error
0.10202539943765428
mean_prior_absolute_error
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mean_prior_absolute_error
0.1038678744402577
mean_prior_absolute_error
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number_of_instances
484 [458,26]
number_of_instances
484 [458,26]
number_of_instances
484 [458,26]
number_of_instances
484 [458,26]
number_of_instances
484 [458,26]
number_of_instances
484 [458,26]
number_of_instances
484 [458,26]
number_of_instances
484 [458,26]
number_of_instances
484 [457,27]
number_of_instances
483 [457,26]
precision
0.9738470895495689 [0.982684,0.818182]
precision
0.9834710743801653 [0.991266,0.846154]
precision
0.9921692143582096 [0.997807,0.892857]
precision
0.9851791313601641 [0.987041,0.952381]
precision
0.9768865121806298 [0.986928,0.8]
precision
0.9829994610132949 [0.98913,0.875]
precision
0.9783129096608719 [0.982759,0.9]
precision
0.9783370899073378 [0.984848,0.863636]
precision
0.9938420768954367 [0.993478,1]
precision
0.9898689961619023 [0.995614,0.888889]
predictive_accuracy
0.9752066115702479
predictive_accuracy
0.9834710743801652
predictive_accuracy
0.9917355371900827
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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prior_entropy
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prior_entropy
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prior_entropy
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
0.3501885098530378
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
0.14172926582952192
relative_absolute_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_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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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
0
total_cost
0
total_cost
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total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
unweighted_recall
0.8417870339267719 [0.991266,0.692308]
unweighted_recall
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unweighted_recall
0.9774941215989251 [0.99345,0.961538]
unweighted_recall
0.883523681558616 [0.997817,0.769231]
unweighted_recall
0.8791568693315419 [0.989083,0.769231]
unweighted_recall
0.9005710446758481 [0.99345,0.807692]
unweighted_recall
0.843970440040309 [0.995633,0.692308]
unweighted_recall
0.8621095062143097 [0.99345,0.730769]
unweighted_recall
0.9444444444444444 [1,0.888889]
unweighted_recall
0.9582561858273018 [0.993435,0.923077]
usercpu_time_millis
1941.0142549999998
usercpu_time_millis
1983.2574629999997
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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4.097919999999977
usercpu_time_millis_testing
4.689539000000131
usercpu_time_millis_testing
4.077789000000109
usercpu_time_millis_testing
3.965542000001321
usercpu_time_millis_testing
3.843034999999162
usercpu_time_millis_testing
3.862988999999928
usercpu_time_millis_testing
3.905365999999688
usercpu_time_millis_testing
4.584530000002474
usercpu_time_millis_testing
4.16367800000117
usercpu_time_millis_testing
4.148435000001172
usercpu_time_millis_training
1936.916335
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis_testing
4.098176956176758
wall_clock_time_millis_testing
4.691123962402344
wall_clock_time_millis_testing
4.077911376953125
wall_clock_time_millis_testing
3.966093063354492
wall_clock_time_millis_testing
3.8471221923828125
wall_clock_time_millis_testing
3.8628578186035156
wall_clock_time_millis_testing
3.905773162841797
wall_clock_time_millis_testing
4.588603973388672
wall_clock_time_millis_testing
4.162311553955078
wall_clock_time_millis_testing
4.1484832763671875
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
9556.502103805542
wall_clock_time_millis_training
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weighted_recall
0.9752066115702479 [0.991266,0.692308]
weighted_recall
0.9834710743801653 [0.991266,0.846154]
weighted_recall
0.9917355371900827 [0.99345,0.961538]
weighted_recall
0.9855371900826446 [0.997817,0.769231]
weighted_recall
0.9772727272727273 [0.989083,0.769231]
weighted_recall
0.9834710743801653 [0.99345,0.807692]
weighted_recall
0.9793388429752066 [0.995633,0.692308]
weighted_recall
0.9793388429752066 [0.99345,0.730769]
weighted_recall
0.993801652892562 [1,0.888889]
weighted_recall
0.989648033126294 [0.993435,0.923077]