10437689
10468
Nicolas Hug
22
Supervised Classification
17374
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(4)
8260830
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
22790
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.
22
mfeat-zernike
https://www.openml.org/data/download/22/dataset_22_mfeat-zernike.arff
-1
21799566
description
https://api.openml.org/data/download/21799566/description.xml
-1
21799567
predictions
https://api.openml.org/data/download/21799567/predictions.arff
-1
21799568
trace
https://api.openml.org/data/download/21799568/trace.arff
area_under_roc_curve
0.9589222222222222 [0.996967,0.997278,0.997228,0.991206,0.99755,0.98705,0.812782,0.998517,0.997072,0.813574]
average_cost
0
f_measure
0.7891798641807559 [0.972292,0.947631,0.94321,0.885496,0.928395,0.884211,0.2,0.95,0.949239,0.231325]
kappa
0.7611111111111112
kb_relative_information_score
0.7860961866702906
mean_absolute_error
0.04454782592583458
mean_prior_absolute_error
0.18000000000000554
weighted_recall
0.785 [0.965,0.95,0.955,0.87,0.94,0.84,0.205,0.95,0.935,0.24]
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7941048723560947 [0.979695,0.945274,0.931707,0.901554,0.917073,0.933333,0.195238,0.95,0.963918,0.223256]
predictive_accuracy
0.785
prior_entropy
3.3219280948872383
relative_absolute_error
0.24748792181018453
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.19290446726926422
root_relative_squared_error
0.6430148908975376
total_cost
0
unweighted_recall
0.7849999999999999 [0.965,0.95,0.955,0.87,0.94,0.84,0.205,0.95,0.935,0.24]
area_under_roc_curve
0.9621111111111111 [0.995,0.998889,0.998611,0.996111,1,0.982222,0.8125,0.999444,0.996389,0.841944]
area_under_roc_curve
0.9687500000000001 [0.999444,1,1,0.998889,1,0.995556,0.859306,0.994722,0.993611,0.845972]
area_under_roc_curve
0.9688055555555556 [1,0.994722,0.996944,0.987778,0.998611,0.999444,0.85625,0.998333,1,0.855972]
area_under_roc_curve
0.9653055555555556 [0.998056,0.998611,1,0.999444,1,0.999444,0.823194,1,0.999167,0.835139]
area_under_roc_curve
0.9595833333333332 [1,0.998611,0.9975,0.990556,0.998611,0.984722,0.828611,0.998333,0.999444,0.799444]
area_under_roc_curve
0.9560833333333334 [1,0.998333,0.993611,0.9975,0.996667,0.974167,0.811528,0.995556,0.995,0.798472]
area_under_roc_curve
0.9669722222222222 [1,1,0.999444,0.998056,0.996389,0.994167,0.840139,1,1,0.841528]
area_under_roc_curve
0.971138888888889 [1,0.999167,0.998333,0.991944,0.996944,0.984444,0.874306,0.999167,0.995278,0.871806]
area_under_roc_curve
0.9680833333333332 [0.990556,0.997222,0.995833,0.985278,0.996944,0.990556,0.857222,0.999167,0.999722,0.868333]
area_under_roc_curve
0.9627500000000002 [1,1,0.998333,0.991667,0.995,0.989722,0.819306,1,0.999722,0.83375]
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
0.7883478108702755 [0.923077,0.952381,0.904762,0.864865,0.97561,0.894737,0.205128,0.95,0.894737,0.318182]
f_measure
0.8031622442598052 [0.97561,0.97561,1,0.923077,0.95,0.923077,0.2,0.923077,0.923077,0.238095]
f_measure
0.7881392626163475 [1,0.888889,0.926829,0.842105,0.930233,0.95,0.108108,0.974359,1,0.26087]
f_measure
0.8229012180231692 [0.974359,0.97561,0.952381,0.974359,1,0.888889,0.243902,1,0.926829,0.292683]
f_measure
0.808271691588705 [1,0.930233,0.974359,0.871795,0.974359,0.9,0.272727,0.974359,0.974359,0.210526]
f_measure
0.7464602683065532 [0.97561,0.926829,0.95,0.883721,0.888889,0.777778,0.142857,0.857143,0.918919,0.142857]
f_measure
0.8137233937233936 [0.974359,0.974359,0.974359,0.952381,0.904762,0.918919,0.2,1,1,0.238095]
f_measure
0.7718781478367411 [1,0.95,0.923077,0.820513,0.883721,0.871795,0.232558,0.923077,0.918919,0.195122]
f_measure
0.7654142533785487 [0.923077,0.894737,0.9,0.9,0.878049,0.894737,0.105263,0.926829,0.952381,0.27907]
f_measure
0.7749413342643754 [0.974359,1,0.930233,0.810811,0.9,0.810811,0.26087,0.97561,0.97561,0.111111]
kappa
0.7611111111111112
kappa
0.7777777777777778
kappa
0.7611111111111112
kappa
0.7999999999999999
kappa
0.7833333333333334
kappa
0.7111111111111111
kappa
0.788888888888889
kappa
0.7388888888888889
kappa
0.7388888888888889
kappa
0.75
kb_relative_information_score
0.7817963956911985
kb_relative_information_score
0.8048242900621755
kb_relative_information_score
0.7868990316700517
kb_relative_information_score
0.8148634768559334
kb_relative_information_score
0.7980583221294129
kb_relative_information_score
0.7490340039619531
kb_relative_information_score
0.802946189423237
kb_relative_information_score
0.7910682553169059
kb_relative_information_score
0.761263617562135
kb_relative_information_score
0.7702082840296094
mean_absolute_error
0.04458390795793859
mean_absolute_error
0.042500143348303376
mean_absolute_error
0.04337809145239328
mean_absolute_error
0.037836892877849616
mean_absolute_error
0.04043768349775194
mean_absolute_error
0.05053688874535284
mean_absolute_error
0.0402769287904069
mean_absolute_error
0.04770141768424607
mean_absolute_error
0.048516231142164766
mean_absolute_error
0.049710073761938416
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
0.7954734988094123 [0.947368,0.909091,0.863636,0.941176,0.952381,0.944444,0.210526,0.95,0.944444,0.291667]
precision
0.8071508316245157 [0.952381,0.952381,1,0.947368,0.95,0.947368,0.2,0.947368,0.947368,0.227273]
precision
0.796163230063486 [1,1,0.904762,0.888889,0.869565,0.95,0.117647,1,1,0.230769]
precision
0.8290043290043291 [1,0.952381,0.909091,1,1,1,0.238095,1,0.904762,0.285714]
precision
0.8136524281718791 [1,0.869565,1,0.894737,1,0.9,0.25,1,1,0.222222]
precision
0.7599138904573687 [0.952381,0.904762,0.95,0.826087,1,0.875,0.136364,0.818182,1,0.136364]
precision
0.82 [1,1,1,0.909091,0.863636,1,0.2,1,1,0.227273]
precision
0.7815533398714174 [1,0.95,0.947368,0.842105,0.826087,0.894737,0.217391,0.947368,1,0.190476]
precision
0.7679233657265694 [0.947368,0.944444,0.9,0.9,0.857143,0.944444,0.111111,0.904762,0.909091,0.26087]
precision
0.779480223527538 [1,1,0.869565,0.882353,0.9,0.882353,0.230769,0.952381,0.952381,0.125]
predictive_accuracy
0.785
predictive_accuracy
0.8
predictive_accuracy
0.785
predictive_accuracy
0.82
predictive_accuracy
0.805
predictive_accuracy
0.74
predictive_accuracy
0.81
predictive_accuracy
0.765
predictive_accuracy
0.765
predictive_accuracy
0.775
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
0.24768837754410356
relative_absolute_error
0.2361119074905746
relative_absolute_error
0.24098939695774071
relative_absolute_error
0.21020496043249812
relative_absolute_error
0.22465379720973325
relative_absolute_error
0.28076049302973827
relative_absolute_error
0.2237607155022608
relative_absolute_error
0.2650078760235896
relative_absolute_error
0.2695346174564712
relative_absolute_error
0.2761670764552137
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
0.19352134342178118
root_mean_squared_error
0.18245385945910603
root_mean_squared_error
0.195767179586924
root_mean_squared_error
0.1832199412516165
root_mean_squared_error
0.19133548811909715
root_mean_squared_error
0.2108112415590488
root_mean_squared_error
0.18677203280707907
root_mean_squared_error
0.18461703554216324
root_mean_squared_error
0.20516457872132532
root_mean_squared_error
0.19333050267048799
root_relative_squared_error
0.6450711447392711
root_relative_squared_error
0.6081795315303538
root_relative_squared_error
0.652557265289747
root_relative_squared_error
0.6107331375053887
root_relative_squared_error
0.637784960396991
root_relative_squared_error
0.7027041385301629
root_relative_squared_error
0.6225734426902639
root_relative_squared_error
0.6153901184738778
root_relative_squared_error
0.6838819290710848
root_relative_squared_error
0.644435008901627
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
0.7849999999999999 [0.9,1,0.95,0.8,1,0.85,0.2,0.95,0.85,0.35]
unweighted_recall
0.8 [1,1,1,0.9,0.95,0.9,0.2,0.9,0.9,0.25]
unweighted_recall
0.7849999999999999 [1,0.8,0.95,0.8,1,0.95,0.1,0.95,1,0.3]
unweighted_recall
0.8200000000000001 [0.95,1,1,0.95,1,0.8,0.25,1,0.95,0.3]
unweighted_recall
0.805 [1,1,0.95,0.85,0.95,0.9,0.3,0.95,0.95,0.2]
unweighted_recall
0.74 [1,0.95,0.95,0.95,0.8,0.7,0.15,0.9,0.85,0.15]
unweighted_recall
0.8099999999999999 [0.95,0.95,0.95,1,0.95,0.85,0.2,1,1,0.25]
unweighted_recall
0.765 [1,0.95,0.9,0.8,0.95,0.85,0.25,0.9,0.85,0.2]
unweighted_recall
0.7649999999999999 [0.9,0.85,0.9,0.9,0.9,0.85,0.1,0.95,1,0.3]
unweighted_recall
0.775 [0.95,1,1,0.75,0.9,0.75,0.3,1,1,0.1]
usercpu_time_millis
7146.631839
usercpu_time_millis
6649.908247000001
usercpu_time_millis
5439.246497999999
usercpu_time_millis
5143.206319000001
usercpu_time_millis
5096.087767999997
usercpu_time_millis
5024.704993
usercpu_time_millis
5716.940671000004
usercpu_time_millis
5752.986303
usercpu_time_millis
6597.5905879999955
usercpu_time_millis
7185.270115999999
usercpu_time_millis_testing
27.150960999998475
usercpu_time_millis_testing
27.159082000000723
usercpu_time_millis_testing
24.85653999999826
usercpu_time_millis_testing
22.816936000001675
usercpu_time_millis_testing
25.77778799999919
usercpu_time_millis_testing
22.435418000000595
usercpu_time_millis_testing
25.98450299999655
usercpu_time_millis_testing
26.806591000003266
usercpu_time_millis_testing
26.260070999995833
usercpu_time_millis_testing
27.499509999998395
usercpu_time_millis_training
7119.480878000001
usercpu_time_millis_training
6622.749165
usercpu_time_millis_training
5414.389958000001
usercpu_time_millis_training
5120.389382999999
usercpu_time_millis_training
5070.309979999997
usercpu_time_millis_training
5002.269574999999
usercpu_time_millis_training
5690.956168000007
usercpu_time_millis_training
5726.1797119999965
usercpu_time_millis_training
6571.330516999999
usercpu_time_millis_training
7157.770606
wall_clock_time_millis
116058.93421173096
wall_clock_time_millis
115549.21650886536
wall_clock_time_millis
114529.75296974182
wall_clock_time_millis
114113.37852478027
wall_clock_time_millis
113043.23744773865
wall_clock_time_millis
112928.2398223877
wall_clock_time_millis
115456.62474632263
wall_clock_time_millis
114349.10082817078
wall_clock_time_millis
114246.83976173401
wall_clock_time_millis
116645.22123336792
wall_clock_time_millis_testing
27.139663696289062
wall_clock_time_millis_testing
27.14705467224121
wall_clock_time_millis_testing
24.84416961669922
wall_clock_time_millis_testing
22.809743881225586
wall_clock_time_millis_testing
25.772571563720703
wall_clock_time_millis_testing
22.424936294555664
wall_clock_time_millis_testing
25.971174240112305
wall_clock_time_millis_testing
26.795625686645508
wall_clock_time_millis_testing
26.248931884765625
wall_clock_time_millis_testing
27.48703956604004
wall_clock_time_millis_training
116031.79454803467
wall_clock_time_millis_training
115522.06945419312
wall_clock_time_millis_training
114504.90880012512
wall_clock_time_millis_training
114090.56878089905
wall_clock_time_millis_training
113017.46487617493
wall_clock_time_millis_training
112905.81488609314
wall_clock_time_millis_training
115430.65357208252
wall_clock_time_millis_training
114322.30520248413
wall_clock_time_millis_training
114220.59082984924
wall_clock_time_millis_training
116617.73419380188
weighted_recall
0.785 [0.9,1,0.95,0.8,1,0.85,0.2,0.95,0.85,0.35]
weighted_recall
0.8 [1,1,1,0.9,0.95,0.9,0.2,0.9,0.9,0.25]
weighted_recall
0.785 [1,0.8,0.95,0.8,1,0.95,0.1,0.95,1,0.3]
weighted_recall
0.82 [0.95,1,1,0.95,1,0.8,0.25,1,0.95,0.3]
weighted_recall
0.805 [1,1,0.95,0.85,0.95,0.9,0.3,0.95,0.95,0.2]
weighted_recall
0.74 [1,0.95,0.95,0.95,0.8,0.7,0.15,0.9,0.85,0.15]
weighted_recall
0.81 [0.95,0.95,0.95,1,0.95,0.85,0.2,1,1,0.25]
weighted_recall
0.765 [1,0.95,0.9,0.8,0.95,0.85,0.25,0.9,0.85,0.2]
weighted_recall
0.765 [0.9,0.85,0.9,0.9,0.9,0.85,0.1,0.95,1,0.3]
weighted_recall
0.775 [0.95,1,1,0.75,0.9,0.75,0.3,1,1,0.1]